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Author Topic: == Bitcoin challenge transaction: ~1000 BTC total bounty to solvers! ==UPDATED==  (Read 53915 times)
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brainless
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March 31, 2020, 12:42:43 AM
 #61
Quote from: dextronomous on March 31, 2020, 12:19:13 AM
hey alek76,

i pm'ed you but you could send me the files. then i post the answer to those keys for these guys
to show wich code is faster for those 3 pk's
please do
2020
soon
21

he will never send Smiley
for 1 pubkey in bit 65, you can found it within 3 hours with powerfull gpu and bitcrack, only i need 30 min to code corresponding key, and rest if you have 2080ti or p100 and bitcrack you can find
wanna test ?
13sXkWqtivcMtNGQpskD78iqsgVy9hcHLF
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March 31, 2020, 02:14:44 AM
 #62
i know about the pollards that are out,
but need to go fast and up to 110 already possible with the cpu pollard version.
only need ram, and or baby giant. for use with the pub key.
but then all whe want are those with gpu and the bitcracks so on for the ones without the pub keys.
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April 01, 2020, 12:32:34 PM
 #63
Quote from: alek76 on March 31, 2020, 05:00:59 AM
Quote from: brainless on March 31, 2020, 12:42:43 AM
wanna test ?
I do not mind, send a public key.
Perhaps in due course I will lay out the code on github, for obvious reasons I don’t want to do this. A lot of time has been spent on rewriting the sources, I constantly change it. Added verification of GPU output data in secp256k1 before writing to files. Yesterday, a lot of progress - I replaced 2 expensive inversions with 1 inversion and 3 multiplications - this gave a very significant increase in performance, about 50% (considering that 2 jumps of wild and tame count as 1 jump).
Maybe someone will need comparator code:
Code:
// ----------------------------------------------------------------------------

bool VanitySearch::Comparator() {
	
	// Used chrono for get compare time 
	auto begin = std::chrono::steady_clock::now();
	
	string WfileName = "wild.txt";
	string TfileName = "tame.txt";
	vector<string> Wpoint;
	vector<string> Wkey;

	vector<string> Tpoint;
	vector<string> Tkey;

	// Wild
	// Get file size wild
	FILE *fw = fopen(WfileName.c_str(), "rb");
	if (fw == NULL) {
		printf("Error: Cannot open %s %s\n", WfileName.c_str(), strerror(errno));
	}
	fseek(fw, 0L, SEEK_END);
	size_t wsz = ftell(fw); // Get bytes
	size_t nbWild = wsz / 129; // Get lines
	fclose(fw);
	// For check
	//printf("File wild.txt: %llu bytes %llu lines \n", (uint64_t)wsz, (uint64_t)nbWild);

	// Parse File Wild
	int nbWLine = 0;
	string Wline = "";
	ifstream inFileW(WfileName);
	Wpoint.reserve(nbWild);
	Wkey.reserve(nbWild);
	while (getline(inFileW, Wline)) {

		// Remove ending \r\n
		int l = (int)Wline.length() - 1;
		while (l >= 0 && isspace(Wline.at(l))) {
			Wline.pop_back();
			l--;
		}

		if (Wline.length() == 129) {
			Wpoint.push_back(Wline.substr(0, 64));
			Wkey.push_back(Wline.substr(65, 129));
			nbWLine++;
			// For check
			//printf(" %s    %d \n", Wpoint[0].c_str(), nbWLine);
			//printf(" %s    %d \n", Wkey[0].c_str(), nbWLine);						
		}
	}

	// Tame
	// Get file size tame
	FILE *ft = fopen(TfileName.c_str(), "rb");
	if (ft == NULL) {
		printf("Error: Cannot open %s %s\n", TfileName.c_str(), strerror(errno));
	}
	fseek(ft, 0L, SEEK_END);
	size_t tsz = ftell(ft); // Get bytes
	size_t nbTame = tsz / 129; // Get lines
	fclose(ft);
	// For check
	//printf("File tame.txt: %llu bytes %llu lines \n", (uint64_t)tsz, (uint64_t)nbTame);

	// Parse File Tame
	int nbTLine = 0;
	string Tline = "";
	ifstream inFileT(TfileName);
	Tpoint.reserve(nbTame);
	Tkey.reserve(nbTame);
	while (getline(inFileT, Tline)) {

		// Remove ending \r\n
		int l = (int)Tline.length() - 1;
		while (l >= 0 && isspace(Tline.at(l))) {
			Tline.pop_back();
			l--;
		}

		if (Tline.length() == 129) {
			Tpoint.push_back(Tline.substr(0, 64));
			Tkey.push_back(Tline.substr(65, 129));
			nbTLine++;
			// For check
			//printf(" %s    %d \n", Tpoint[0].c_str(), nbTLine);
			//printf(" %s    %d \n", Tkey[0].c_str(), nbTLine);
		}
	}

	// Compare lines
	int result = 0;
	string WDistance = "";
	string TDistance = "";
	for (int wi = 0; wi < nbWLine; wi++) {

		for (int ti = 0; ti < nbTLine; ti++) {
			
			if (strcmp(Wpoint[wi].c_str(), Tpoint[ti].c_str()) == 0) {
				result++;
				if (result > 0) { 
				printf("\n%d Compared lines Tame %d = Wild %d ", result, ti+1, wi+1);
				printf("\nTame Distance: 0x%s ", Tkey[ti].c_str());
				printf("\nWild Distance: 0x%s ", Wkey[wi].c_str());				
				}
				WDistance = Wkey[wi].c_str();
				TDistance = Tkey[ti].c_str();								
			}
		}

	}
	
	auto end = std::chrono::steady_clock::now();
	std::chrono::duration<double, std::milli> elapsed_ms = end - begin;
	if (flag_verbose > 0) { 
		printf("\n[i] Comparator time: %.*f msec %s %llu bytes %s %llu bytes \n", 3, elapsed_ms, WfileName.c_str(), (uint64_t)wsz, TfileName.c_str(), (uint64_t)tsz); 
	}
	
	if (result > 0) {
		
		// Get SOLVED
		Int WDist;
		Int TDist;
		Int Priv;
		char *wd = new char [WDistance.length()+1];
		char *td = new char [TDistance.length()+1];
		strcpy(wd, WDistance.c_str());
		strcpy(td, TDistance.c_str());
		WDist.SetBase16(wd);
		TDist.SetBase16(td);
		Priv.SetInt32(0);
		
		if (TDist.IsLower(&WDist))
			Priv.Sub(&WDist, &TDist);
		else if (TDist.IsGreater(&WDist))
			Priv.Sub(&TDist, &WDist);
		else {
			printf("\n[FATAL_ERROR] Wild Distance == Tame Distance !!!\n");			
		}
		
		printf("\nSOLVED: 0x%s \n", Priv.GetBase16().c_str());
		printf("Tame Distance: 0x%s \n", TDist.GetBase16().c_str());
		printf("Wild Distance: 0x%s \n", WDist.GetBase16().c_str());
		printf("\n[i] Comparator time: %.*f msec %s %llu bytes %s %llu bytes \n", 3, elapsed_ms, WfileName.c_str(), (uint64_t)wsz, TfileName.c_str(), (uint64_t)tsz); 
		
		// SAVE SOLVED
		bool saved = output(Priv.GetBase16().c_str());
		if (saved) {
			printf("[i] Success saved to file %s\n", outputFile.c_str());
		}		
		return true;
	}
	return false;
}

P.S. Topic moderator delete posts selling scripts.
After seen Bull Fight , no one know who win, and interval started without mention break time, when next show will start for community to watch Smiley
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April 01, 2020, 01:04:29 PM
 #64
I managed to find the first 8 numbers of the public key that corresponds to a private key. Is it possible to narrow the range to find the next ones?
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April 01, 2020, 04:55:49 PM
 #65
Quote from: alek76 on April 01, 2020, 01:08:16 PM
Quote from: brainless on April 01, 2020, 12:32:34 PM
After seen Bull Fight , no one know who win, and interval started without mention break time, when next show will start for community to watch Smiley
Here is the best result:
Code:
[###########################################################]
[#          Pollard-kangaroo PrivKey Recovery Tool         #]
[#          (based on engine of VanitySearch 1.15)         #]
[#                 bitcoin ecdsa secp256k1                 #]
[#                 ver 0.01 GPU Hybrid v4F                 #]
[###########################################################]
[DATE(utc)] 01 Apr 2020 12:45:08
[~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~]
[pow2bits]	65
[Wsqrt] (2^32)                                                        100000000
[M]                                                18000000000000000
[rangeW]	2^64..2^65 ; W = U - L = 2^64
[DPsize]	1048576 (hashtable size)
[~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~]
[pubkey#65] loaded
[Xcoordinate] 30210C23B1A047BC9BDBB13448E67DEDDC108946DE6DE639BCC75D47C0216B1B
[Ycoordinate] E383C4A8ED4FAC77C0D2AD737D8499A362F483F8FE39D1E86AAED578A9455DFC
[~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~]
[+] Sp-table of pow2 points - ready 
[~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~]
[UV] U*V=0*0=0 (0x00)
[optimal_mean_jumpsize] 0 
[meanjumpsize#1] 1(now) <= 0(optimal) <= 1(next)
[i] Sp[0]|J-|Sp[1]
[i] this Sp set has low efficiency (over -25%) for this mean jumpsize
[JmaxofSp] Sp[1]=0 nearer to optimal mean jumpsize of Sp set
[i] Old DPmodule: 2^30 
[i] New DPmodule: 2^24 
[DPmodule] 2^24 = 16777216 (0x0000000001000000) 
[+] 0T+0W kangaroos - ready
[CPU] threads: 0 
[GPU] threads: 1 Hang on to your hats... ;-)
[optimal_mean_jumpsize] 80000000 
[meanjumpsize#36] 71C71C71(now) <= 80000000(optimal) <= DD67C8A6(next)
[i] Sp[36]|-------J----------------------------------------------------|Sp[37]
[JmaxofSp] Sp[36]=71C71C71 nearer to optimal mean jumpsize of Sp set
GPUEngine: DPmodule: 0x400000 2^22 = ((pow2W-(2*Power))/2)-2 Hop_modulo: 44 Power: 8 
GPU: GPU #0 Tesla P100-PCIE-16GB (56x64 cores) Grid(448x128)
GPU Bits: 65 
GPU Tame Points: [M] + Rand(pow2W-0) 
GPU Tame Starting Key 0: 18000000000000000 
GPU Tame Starting Key 1: 18B63F34617C64732 
GPU Tame Starting Key 2: 22F50C3E041627A97 
GPU Tame Starting Key 3: 1B091CB7B3B06055C 
GPU Tame Starting Key 4: 21A50FB135090B0EA 
GPU Tame Starting Key 5: 27509473EE8D466D2 
GPU Tame Starting Key 6: 23CA1F2462EC2A360 
GPU Tame Starting Key 7: 1BA002BC13209791C 
GPU Tame Starting Key 8: 20750CFB7C689D758 
GPU Tame Starting Key 9: 1ED1385827C63FBB0 
GPU Tame Starting Key 57343: 2728DF032A39715D4 Thread: 57344 

GPU Wild Points: [Target] + Rand(pow2W-1) 
GPU Wild Starting Key 0: 4DED40DA8927153E 
GPU Wild Starting Key 1: 554CAC872BDA79C4 
GPU Wild Starting Key 2: 189CFD22DAFC5ED0 
GPU Wild Starting Key 3: 3104DB97388F5583 
GPU Wild Starting Key 4: 416839CB680A3BC4 
GPU Wild Starting Key 5: 19496B0F3BC1040B 
GPU Wild Starting Key 6: 3EEB85865D1F6F9C 
GPU Wild Starting Key 7: 254F01B461BC01DC 
GPU Wild Starting Key 8: 2970C325126AC292 
GPU Wild Starting Key 9: 8393868C04766F7 
GPU Wild Starting Key 57343: 6DB2FBBD0AA78AD0 Thread: 57344 

[+] Runing Comparator every: 32 sec

[i] Comparator time: 0.152 msec wild.txt 0 bytes tame.txt 0 bytes 
[/][  0: 0:30 ;  49.3M j/s; [GPU 49.31 Mj/s]   1.0Gj  17.1%; dp/kgr=0.0;  0: 2:24 ]  
[i] Comparator time: 0.546 msec wild.txt 38610 bytes tame.txt 37180 bytes 
[/][  0: 1: 2 ;  49.3M j/s; [GPU 49.31 Mj/s]   3.0Gj  35.5%; dp/kgr=0.0;  0: 1:52 ]  
[i] Comparator time: 1.775 msec wild.txt 73580 bytes tame.txt 74880 bytes 
[/][  0: 1:34 ;  49.3M j/s; [GPU 49.31 Mj/s]   4.0Gj  53.8%; dp/kgr=0.0;  0: 1:20 ]  
[i] Comparator time: 3.408 msec wild.txt 111150 bytes tame.txt 108940 bytes 
[/][  0: 2: 6 ;  49.1M j/s; [GPU 49.08 Mj/s]   6.0Gj  72.1%; dp/kgr=0.0;  0: 0:48 ]  
[i] Comparator time: 5.643 msec wild.txt 146900 bytes tame.txt 148460 bytes 
[/][  0: 2:38 ;  49.1M j/s; [GPU 49.08 Mj/s]   7.0Gj  90.4%; dp/kgr=0.0;  0: 0:16 ]  
[i] Comparator time: 9.398 msec wild.txt 186940 bytes tame.txt 184730 bytes 
[-][  0: 3:12 ;  49.3M j/s; [GPU 49.31 Mj/s]   9.0Gj 110.0%; dp/kgr=0.0;  0: 0: 0 ]  
[i] Comparator time: 13.429 msec wild.txt 223730 bytes tame.txt 224380 bytes 
[-][  0: 3:44 ;  49.1M j/s; [GPU 49.08 Mj/s]  11.0Gj 128.2%; dp/kgr=0.0;  0: 0: 0 ]  
1 Compared lines Tame 1249 = Wild 1975 
Tame Distance: 0x0000000000000000000000000000000000000000000000021B555EA59A18B883 
Wild Distance: 0x000000000000000000000000000000000000000000000000731CAD709466501C 
[i] Comparator time: 18.198 msec wild.txt 261950 bytes tame.txt 264810 bytes 

SOLVED: 0x1A838B13505B26867 
Tame Distance: 0x21B555EA59A18B883 
Wild Distance: 0x731CAD709466501C 

[i] Comparator time: 18.198 msec wild.txt 261950 bytes tame.txt 264810 bytes 
[i] Success saved to file Result.txt
[i] No Cleaning wild.txt and tame.txt 

[i]  49.2M j/s;  11.0Gj of   8.0Gj 128.4%; DP 0T+0W=0+0=0; dp/kgr=0.0;
[runtime]   0: 3:44 
[~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~]
[DATE(utc)] 01 Apr 2020 12:48:55
[~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~]
[x] EXIT
Maybe Soon it will be on github, I do not have a normal video card. Sad
these results from 1 thread inside gpu, ?
i think you need to manage, b t p like bitcrack for run full gpu load, then maybe you get highest jumps count per second, p100 card and 49m jumps, its seems not useing full gpu load, check with experts calculation
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April 01, 2020, 07:02:03 PM
 #66
Quote from: alek76 on April 01, 2020, 06:37:52 PM
Quote from: brainless on April 01, 2020, 04:55:49 PM
these results from 1 thread inside gpu, ?
i think you need to manage, b t p like bitcrack for run full gpu load, then maybe you get highest jumps count per second, p100 card and 49m jumps, its seems not useing full gpu load, check with experts calculation
The result is 57344 threads. The calculation is correct, 1 jump = 2^44 keys.
run for bit 85 and in other window make screenshot of command
nvidia-smi
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April 01, 2020, 08:29:01 PM
 #67
Quote from: alek76 on April 01, 2020, 08:20:22 PM
Quote from: brainless on April 01, 2020, 07:02:03 PM
run for bit 85 and in other window make screenshot of command
nvidia-smi
Thanks, I know. This command was called directly from the program. Yes, it warms up to 67 degrees Smiley
temp is not important , important is other informations about memory etc like this screenshot will help me to understand your stage
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 390.116                Driver Version: 390.116                   |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|===============================+======================+======================|
|   0  GeForce GTX 460     Off  | 00000000:01:00.0 N/A |                  N/A |
| 52%   71C    P0    N/A /  N/A |    472MiB /   964MiB |     N/A      Default |
+-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+
| Processes:                                                       GPU Memory |
|  GPU       PID   Type   Process name                             Usage      |
|=============================================================================|
|    0                    Not Supported                                       |
+-----------------------------------------------------------------------------+
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April 01, 2020, 09:29:23 PM
 #68
Quote from: alek76 on April 01, 2020, 08:49:10 PM
Quote from: brainless on April 01, 2020, 08:29:01 PM
Quote from: alek76 on April 01, 2020, 08:20:22 PM
Quote from: brainless on April 01, 2020, 07:02:03 PM
run for bit 85 and in other window make screenshot of command
nvidia-smi
Thanks, I know. This command was called directly from the program. Yes, it warms up to 67 degrees Smiley
temp is not important , important is other informations about memory etc like this screenshot will help me to understand your stage
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 390.116                Driver Version: 390.116                   |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|===============================+======================+======================|
|   0  GeForce GTX 460     Off  | 00000000:01:00.0 N/A |                  N/A |
| 52%   71C    P0    N/A /  N/A |    472MiB /   964MiB |     N/A      Default |
+-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+
| Processes:                                                       GPU Memory |
|  GPU       PID   Type   Process name                             Usage      |
|=============================================================================|
|    0                    Not Supported                                       |
+-----------------------------------------------------------------------------+

Code:
[###########################################################]
[#          Pollard-kangaroo PrivKey Recovery Tool         #]
[#          (based on engine of VanitySearch 1.15)         #]
[#                 bitcoin ecdsa secp256k1                 #]
[#                 ver 0.01 GPU Hybrid v4F                 #]
[###########################################################]
[DATE(utc)] 01 Apr 2020 20:40:03
[~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~]
[pow2bits]	85
[warning!] bits = 2^84 too big! long runtime expected
[Wsqrt] (2^42)                                                      40000000000
[M]                                           1800000000000000000000
[rangeW]	2^84..2^85 ; W = U - L = 2^84
[DPsize]	1048576 (hashtable size)
[~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~]
[pubkey#85] loaded
[Xcoordinate] 29C4574A4FD8C810B7E42A4B398882B381BCD85E40C6883712912D167C83E73A
[Ycoordinate]  E02C3AFD79913AB0961C95F12498F36A72FFA35C93AF27CEE30010FA6B51C53
[~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~]
[+] Sp-table of pow2 points - ready 
[~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~]
[UV] U*V=0*0=0 (0x00)
[optimal_mean_jumpsize] 0 
[meanjumpsize#1] 1(now) <= 0(optimal) <= 1(next)
[i] Sp[0]|J-|Sp[1]
[i] this Sp set has low efficiency (over -25%) for this mean jumpsize
[JmaxofSp] Sp[1]=0 nearer to optimal mean jumpsize of Sp set
[i] Old DPmodule: 2^40 
[i] New DPmodule: 2^24 
[DPmodule] 2^24 = 16777216 (0x0000000001000000) 
[+] 0T+0W kangaroos - ready
[CPU] threads: 0 
[GPU] threads: 1 Hang on to your hats... ;-)
[optimal_mean_jumpsize] 20000000000 
[meanjumpsize#46] 1642C8590B2(now) <= 20000000000(optimal) <= 2B931057262(next)
[i] Sp[46]|---------------------------J--------------------------------|Sp[47]
[i] this Sp set has low efficiency (over -25%) for this mean jumpsize
[JmaxofSp] Sp[46]=1642C8590B2 nearer to optimal mean jumpsize of Sp set
GPUEngine: Old DPmodule = 2^32 
GPUEngine: New DPmodule = 2^24 
GPUEngine: DPmodule: 0x1000000 2^24 = ((pow2W-(2*Power))/2)-2 Hop_modulo: 54 Power: 8 
GPU: GPU #0 Tesla P100-PCIE-16GB (56x64 cores) Grid(448x128)
GPU Bits: 85 
GPU Tame Points: [M] + Rand(pow2W-0) 
GPU Tame Starting Key 0: 1800000000000000000000 
GPU Tame Starting Key 1: 18E7307CE079F255B77F64 
GPU Tame Starting Key 2: 1D2D987B784EE61B40339D 
GPU Tame Starting Key 3: 21EBABBBE48B6F637C3BF3 
GPU Tame Starting Key 4: 256AA7217DA7CBDC39B826 
GPU Tame Starting Key 5: 19CE78784C537703C494C9 
GPU Tame Starting Key 6: 255B30991BC80FBDCCFCB6 
GPU Tame Starting Key 7: 2505B2A5A8F5CD40004EB5 
GPU Tame Starting Key 8: 185623377402AB6A153C82 
GPU Tame Starting Key 9: 1FC41101228EF80A1A3297 
GPU Tame Starting Key 57343: 1F3C10E1239EC8A9146B52 Thread: 57344 

GPU Wild Points: [Target] + Rand(pow2W-1) 
GPU Wild Starting Key 0: 2AEA541E18AA73369D1E 
GPU Wild Starting Key 1: 57961F0A596316DEB232C 
GPU Wild Starting Key 2: 6F58014E0BBEAA730037A 
GPU Wild Starting Key 3: DC414AC805FF185C2C6C 
GPU Wild Starting Key 4: 412CCDAFC17D908296B2 
GPU Wild Starting Key 5: EEB5701E8FAA4EA77A53 
GPU Wild Starting Key 6: 4BD4C882310F975AE1A8F 
GPU Wild Starting Key 7: 1EAE879782B05473102CE 
GPU Wild Starting Key 8: 7B91D2069C2B2E079C0E5 
GPU Wild Starting Key 9: 33A4C65C3A682EA3E6ADB 
GPU Wild Starting Key 57343: 3A6061D92A7C44BBD83C5 Thread: 57344 

[+] Runing Comparator every: 42 sec

[i] Comparator time: 0.101 msec wild.txt 130 bytes tame.txt 0 bytes 
Wed Apr  1 20:40:05 2020       
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 440.64.00    Driver Version: 418.67       CUDA Version: 10.1     |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|===============================+======================+======================|
|   0  Tesla P100-PCIE...  Off  | 00000000:00:04.0 Off |                    0 |
| N/A   38C    P0   117W / 250W |   5865MiB / 16280MiB |    100%      Default |
+-------------------------------+----------------------+----------------------+
                                                                               
+-----------------------------------------------------------------------------+
| Processes:                                                       GPU Memory |
|  GPU       PID   Type   Process name                             Usage      |
|=============================================================================|
+-----------------------------------------------------------------------------+
[\][  0: 0:42 ;  48.8M j/s; [GPU 48.85 Mj/s]   2.0Gj   0.0%; dp/kgr=0.0;  2d  2: 0:28 ]  
[i] Comparator time: 0.255 msec wild.txt 15730 bytes tame.txt 16250 bytes 
Wed Apr  1 20:40:48 2020       
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 440.64.00    Driver Version: 418.67       CUDA Version: 10.1     |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|===============================+======================+======================|
|   0  Tesla P100-PCIE...  Off  | 00000000:00:04.0 Off |                    0 |
| N/A   49C    P0   127W / 250W |   5865MiB / 16280MiB |     99%      Default |
+-------------------------------+----------------------+----------------------+
                                                                               
+-----------------------------------------------------------------------------+
| Processes:                                                       GPU Memory |
|  GPU       PID   Type   Process name                             Usage      |
|=============================================================================|
+-----------------------------------------------------------------------------+
[|][  0: 1:24 ;  48.8M j/s; [GPU 48.85 Mj/s]   4.0Gj   0.0%; dp/kgr=0.0;  2d  1:59:46 ]  
[i] Comparator time: 0.603 msec wild.txt 31980 bytes tame.txt 34060 bytes 
Wed Apr  1 20:41:30 2020       
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 440.64.00    Driver Version: 418.67       CUDA Version: 10.1     |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|===============================+======================+======================|
|   0  Tesla P100-PCIE...  Off  | 00000000:00:04.0 Off |                    0 |
| N/A   55C    P0   107W / 250W |   5865MiB / 16280MiB |     99%      Default |
+-------------------------------+----------------------+----------------------+
                                                                               
+-----------------------------------------------------------------------------+
| Processes:                                                       GPU Memory |
|  GPU       PID   Type   Process name                             Usage      |
|=============================================================================|
+-----------------------------------------------------------------------------+
[/][  0: 2: 6 ;  49.1M j/s; [GPU 49.08 Mj/s]   6.0Gj   0.0%; dp/kgr=0.0;  2d  1:45: 4 ]  
[i] Comparator time: 1.047 msec wild.txt 49010 bytes tame.txt 52000 bytes 
Wed Apr  1 20:42:12 2020       
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 440.64.00    Driver Version: 418.67       CUDA Version: 10.1     |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|===============================+======================+======================|
|   0  Tesla P100-PCIE...  Off  | 00000000:00:04.0 Off |                    0 |
| N/A   60C    P0   117W / 250W |   5865MiB / 16280MiB |     99%      Default |
+-------------------------------+----------------------+----------------------+
                                                                               
+-----------------------------------------------------------------------------+
| Processes:                                                       GPU Memory |
|  GPU       PID   Type   Process name                             Usage      |
|=============================================================================|
+-----------------------------------------------------------------------------+
[-][  0: 2:48 ;  49.1M j/s; [GPU 49.08 Mj/s]   8.0Gj   0.0%; dp/kgr=0.0;  2d  1:44:19 ]  
[i] Comparator time: 1.606 msec wild.txt 64220 bytes tame.txt 66300 bytes 
Wed Apr  1 20:42:54 2020       
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 440.64.00    Driver Version: 418.67       CUDA Version: 10.1     |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|===============================+======================+======================|
|   0  Tesla P100-PCIE...  Off  | 00000000:00:04.0 Off |                    0 |
| N/A   62C    P0   122W / 250W |   5865MiB / 16280MiB |     99%      Default |
+-------------------------------+----------------------+----------------------+
                                                                               
+-----------------------------------------------------------------------------+
| Processes:                                                       GPU Memory |
|  GPU       PID   Type   Process name                             Usage      |
|=============================================================================|
+-----------------------------------------------------------------------------+
[\][  0: 3:30 ;  49.1M j/s; [GPU 49.08 Mj/s]  10.0Gj   0.0%; dp/kgr=0.0;  2d  1:43:38 ]  
[i] Comparator time: 2.405 msec wild.txt 81770 bytes tame.txt 82030 bytes 
Wed Apr  1 20:43:36 2020       
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 440.64.00    Driver Version: 418.67       CUDA Version: 10.1     |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|===============================+======================+======================|
|   0  Tesla P100-PCIE...  Off  | 00000000:00:04.0 Off |                    0 |
| N/A   64C    P0   134W / 250W |   5865MiB / 16280MiB |     99%      Default |
+-------------------------------+----------------------+----------------------+
                                                                               
+-----------------------------------------------------------------------------+
| Processes:                                                       GPU Memory |
|  GPU       PID   Type   Process name                             Usage      |
|=============================================================================|
+-----------------------------------------------------------------------------+
[|][  0: 4:12 ;  49.1M j/s; [GPU 49.08 Mj/s]  12.0Gj   0.1%; dp/kgr=0.0;  2d  1:42:57 ]  
[i] Comparator time: 3.223 msec wild.txt 97890 bytes tame.txt 99450 bytes 
Wed Apr  1 20:44:18 2020       
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 440.64.00    Driver Version: 418.67       CUDA Version: 10.1     |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|===============================+======================+======================|
|   0  Tesla P100-PCIE...  Off  | 00000000:00:04.0 Off |                    0 |
| N/A   66C    P0   135W / 250W |   5865MiB / 16280MiB |     99%      Default |
+-------------------------------+----------------------+----------------------+
                                                                               
+-----------------------------------------------------------------------------+
| Processes:                                                       GPU Memory |
|  GPU       PID   Type   Process name                             Usage      |
|=============================================================================|
+-----------------------------------------------------------------------------+
[/][  0: 4:54 ;  48.8M j/s; [GPU 48.85 Mj/s]  14.0Gj   0.1%; dp/kgr=0.0;  2d  1:56:15 ]  
[i] Comparator time: 4.219 msec wild.txt 113230 bytes tame.txt 113230 bytes 
Wed Apr  1 20:45:00 2020       
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 440.64.00    Driver Version: 418.67       CUDA Version: 10.1     |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|===============================+======================+======================|
|   0  Tesla P100-PCIE...  Off  | 00000000:00:04.0 Off |                    0 |
| N/A   67C    P0   136W / 250W |   5865MiB / 16280MiB |     99%      Default |
+-------------------------------+----------------------+----------------------+
                                                                               
+-----------------------------------------------------------------------------+
| Processes:                                                       GPU Memory |
|  GPU       PID   Type   Process name                             Usage      |
|=============================================================================|
+-----------------------------------------------------------------------------+
[-][  0: 5:36 ;  49.1M j/s; [GPU 49.08 Mj/s]  16.0Gj   0.1%; dp/kgr=0.0;  2d  1:41:36 ]  
[i] Comparator time: 5.659 msec wild.txt 129870 bytes tame.txt 130260 bytes 
Wed Apr  1 20:45:42 2020       
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 440.64.00    Driver Version: 418.67       CUDA Version: 10.1     |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|===============================+======================+======================|
|   0  Tesla P100-PCIE...  Off  | 00000000:00:04.0 Off |                    0 |
| N/A   69C    P0   130W / 250W |   5865MiB / 16280MiB |     98%      Default |
+-------------------------------+----------------------+----------------------+
                                                                               
+-----------------------------------------------------------------------------+
| Processes:                                                       GPU Memory |
|  GPU       PID   Type   Process name                             Usage      |
|=============================================================================|
+-----------------------------------------------------------------------------+
[\][  0: 6:18 ;  49.1M j/s; [GPU 49.08 Mj/s]  18.0Gj   0.1%; dp/kgr=0.0;  2d  1:40:51 ]  
[i] Comparator time: 6.750 msec wild.txt 146250 bytes tame.txt 144170 bytes 
Wed Apr  1 20:46:24 2020       
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 440.64.00    Driver Version: 418.67       CUDA Version: 10.1     |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|===============================+======================+======================|
|   0  Tesla P100-PCIE...  Off  | 00000000:00:04.0 Off |                    0 |
| N/A   70C    P0   129W / 250W |   5865MiB / 16280MiB |     99%      Default |
+-------------------------------+----------------------+----------------------+
                                                                               
+-----------------------------------------------------------------------------+
| Processes:                                                       GPU Memory |
|  GPU       PID   Type   Process name                             Usage      |
|=============================================================================|
+-----------------------------------------------------------------------------+
[|][  0: 7: 0 ;  49.1M j/s; [GPU 49.08 Mj/s]  20.0Gj   0.1%; dp/kgr=0.0;  2d  1:40:10 ]  
[i] Comparator time: 8.500 msec wild.txt 161590 bytes tame.txt 157690 bytes 
Wed Apr  1 20:47:06 2020       
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 440.64.00    Driver Version: 418.67       CUDA Version: 10.1     |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|===============================+======================+======================|
|   0  Tesla P100-PCIE...  Off  | 00000000:00:04.0 Off |                    0 |
| N/A   70C    P0   135W / 250W |   5865MiB / 16280MiB |    100%      Default |
+-------------------------------+----------------------+----------------------+
                                                                               
+-----------------------------------------------------------------------------+
| Processes:                                                       GPU Memory |
|  GPU       PID   Type   Process name                             Usage      |
|=============================================================================|
+-----------------------------------------------------------------------------+
nvidia-smi dmon
Code:
[+] Runing Comparator every: 42 sec

[i] Comparator time: 0.112 msec wild.txt 130 bytes tame.txt 260 bytes 
# gpu   pwr gtemp mtemp    sm   mem   enc   dec  mclk  pclk
# Idx     W     C     C     %     %     %     %   MHz   MHz
    0   112    40     -    99    15     0     0   715  1328
    0   119    41     -    99    14     0     0   715  1328
[\][  0: 0: 2 ;  49.5M j/s; [GPU 49.54 Mj/s]  99.0Mj   0.0%; dp/kgr=0.0;  2d  1:19:20 ]      0   113    42     -    99    14     0     0   715  1328
    0   120    42     -    99    15     0     0   715  1328
[|][  0: 0: 4 ;  48.6M j/s; [GPU 48.62 Mj/s] 194.0Mj   0.0%; dp/kgr=0.0;  2d  2:15:14 ]      0   109    43     -   100    14     0     0   715  1328
    0   122    43     -    99    14     0     0   715  1328
[/][  0: 0: 6 ;  48.9M j/s; [GPU 48.92 Mj/s] 293.0Mj   0.0%; dp/kgr=0.0;  2d  1:56:21 ]      0   107    44     -    99    14     0     0   715  1328
    0   123    44     -    99    14     0     0   715  1328
[-][  0: 0: 8 ;  49.1M j/s; [GPU 49.08 Mj/s] 392.0Mj   0.0%; dp/kgr=0.0;  2d  1:46:59 ]      0   108    44     -    99    14     0     0   715  1328
    0   122    44     -    99    14     0     0   715  1328
[\][  0: 0:10 ;  49.2M j/s; [GPU 49.17 Mj/s] 491.0Mj   0.0%; dp/kgr=0.0;  2d  1:41:23 ]      0   109    45     -    99    14     0     0   715  1328
    0   124    45     -    99    14     0     0   715  1328
[|][  0: 0:12 ;  48.9M j/s; [GPU 48.92 Mj/s] 587.0Mj   0.0%; dp/kgr=0.0;  2d  1:56:15 ]      0   108    45     -    99    15     0     0   715  1328
    0   124    45     -    99    15     0     0   715  1328
[/][  0: 0:14 ;  49.0M j/s; [GPU 49.01 Mj/s] 686.0Mj   0.0%; dp/kgr=0.0;  2d  1:50:52 ]      0   106    46     -    99    14     0     0   715  1328
    0   124    46     -    99    15     0     0   715  1328
[-][  0: 0:16 ;  49.1M j/s; [GPU 49.08 Mj/s] 785.0Mj   0.0%; dp/kgr=0.0;  2d  1:46:51 ]      0    99    46     -    99    14     0     0   715  1328
    0   126    46     -    99    14     0     0   715  1328
[\][  0: 0:18 ;  49.1M j/s; [GPU 49.08 Mj/s] 884.0Mj   0.0%; dp/kgr=0.0;  2d  1:46:49 ]      0   109    47     -    99    14     0     0   715  1328
    0   121    47     -    99    14     0     0   715  1328
[|][  0: 0:20 ;  49.1M j/s; [GPU 49.08 Mj/s] 979.0Mj   0.0%; dp/kgr=0.0;  2d  1:46:47 ]      0   120    47     -   100    15     0     0   715  1328
    0   114    47     -    99    14     0     0   715  1328
[/][  0: 0:22 ;  49.1M j/s; [GPU 49.08 Mj/s]   1.0Gj   0.0%; dp/kgr=0.0;  2d  1:46:51 ]      0   123    47     -    99    14     0     0   715  1328
    0   113    48     -    99    14     0     0   715  1328
[-][  0: 0:24 ;  49.1M j/s; [GPU 49.08 Mj/s]   1.0Gj   0.0%; dp/kgr=0.0;  2d  1:46:49 ]      0   124    48     -    99    14     0     0   715  1328
    0   109    48     -    99    14     0     0   715  1328
[\][  0: 0:26 ;  49.1M j/s; [GPU 49.08 Mj/s]   1.0Gj   0.0%; dp/kgr=0.0;  2d  1:46:47 ]      0   125    48     -    99    14     0     0   715  1328
    0   106    49     -    99    14     0     0   715  1328
[|][  0: 0:28 ;  49.3M j/s; [GPU 49.31 Mj/s]   1.0Gj   0.0%; dp/kgr=0.0;  2d  1:32:52 ]      0   126    49     -    99    14     0     0   715  1328
    0   111    49     -    99    14     0     0   715  1328
[/][  0: 0:30 ;  49.1M j/s; [GPU 49.08 Mj/s]   1.0Gj   0.0%; dp/kgr=0.0;  2d  1:46:43 ]      0   127    49     -    99    14     0     0   715  1328
    0   106    49     -    99    14     0     0   715  1328
[-][  0: 0:32 ;  49.1M j/s; [GPU 49.08 Mj/s]   1.0Gj   0.0%; dp/kgr=0.0;  2d  1:46:42 ]      0   126    49     -    98    14     0     0   715  1328
    0   104    49     -    99    14     0     0   715  1328
[\][  0: 0:34 ;  49.1M j/s; [GPU 49.08 Mj/s]   1.0Gj   0.0%; dp/kgr=0.0;  2d  1:46:40 ]      0   125    50     -    99    14     0     0   715  1328
    0   105    50     -    99    14     0     0   715  1328
[|][  0: 0:36 ;  49.3M j/s; [GPU 49.31 Mj/s]   1.0Gj   0.0%; dp/kgr=0.0;  2d  1:32:45 ]      0   127    50     -    99    15     0     0   715  1328
    0    98    51     -    99    14     0     0   715  1328
[/][  0: 0:38 ;  49.1M j/s; [GPU 49.08 Mj/s]   1.0Gj   0.0%; dp/kgr=0.0;  2d  1:46:30 ]      0   126    50     -    99    14     0     0   715  1328
    0    97    51     -    99    14     0     0   715  1328
[-][  0: 0:40 ;  49.1M j/s; [GPU 49.08 Mj/s]   1.0Gj   0.0%; dp/kgr=0.0;  2d  1:46:28 ]      0   126    51     -    99    14     0     0   715  1328
    0   102    51     -    99    15     0     0   715  1328
[\][  0: 0:42 ;  49.1M j/s; [GPU 49.08 Mj/s]   2.0Gj   0.0%; dp/kgr=0.0;  2d  1:46:25 ]      0   127    51     -    99    14     0     0   715  1328
    0   105    51     -    98    14     0     0   715  1328
[|][  0: 0:44 ;  48.8M j/s; [GPU 48.85 Mj/s]   2.0Gj   0.0%; dp/kgr=0.0;  2d  2: 0:25 ]  # gpu   pwr gtemp mtemp    sm   mem   enc   dec  mclk  pclk
# Idx     W     C     C     %     %     %     %   MHz   MHz
    0   127    52     -    99    15     0     0   715  1328
    0   106    52     -    99    14     0     0   715  1328
[/][  0: 0:46 ;  49.1M j/s; [GPU 49.08 Mj/s]   2.0Gj   0.0%; dp/kgr=0.0;  2d  1:46:21 ]      0   128    52     -    99    14     0     0   715  1328
    0   116    52     -    99    14     0     0   715  1328
[-][  0: 0:48 ;  49.1M j/s; [GPU 49.08 Mj/s]   2.0Gj   0.0%; dp/kgr=0.0;  2d  1:46:19 ]      0   128    52     -    99    14     0     0   715  1328
    0   116    52     -    99    14     0     0   715  1328
[\][  0: 0:50 ;  49.1M j/s; [GPU 49.08 Mj/s]   2.0Gj   0.0%; dp/kgr=0.0;  2d  1:46:16 ]      0   124    52     -    99    14     0     0   715  1328
    0   117    53     -    99    14     0     0   715  1328
[|][  0: 0:52 ;  48.8M j/s; [GPU 48.85 Mj/s]   2.0Gj   0.0%; dp/kgr=0.0;  2d  2: 0:16 ]      0   126    53     -    99    14     0     0   715  1328
    0   118    53     -    99    14     0     0   715  1328
[/][  0: 0:54 ;  49.1M j/s; [GPU 49.08 Mj/s]   2.0Gj   0.0%; dp/kgr=0.0;  2d  1:46:12 ]      0   128    53     -    99    14     0     0   715  1328
    0   117    53     -    99    14     0     0   715  1328
[-][  0: 0:56 ;  49.1M j/s; [GPU 49.08 Mj/s]   2.0Gj   0.0%; dp/kgr=0.0;  2d  1:46:10 ]      0   127    53     -    99    14     0     0   715  1328
    0   123    53     -    99    14     0     0   715  1328
[\][  0: 0:58 ;  49.1M j/s; [GPU 49.08 Mj/s]   2.0Gj   0.0%; dp/kgr=0.0;  2d  1:46: 9 ]      0   116    54     -    99    15     0     0   715  1328
    0   125    54     -   100    14     0     0   715  1328
[|][  0: 1: 0 ;  49.1M j/s; [GPU 49.07 Mj/s]   2.0Gj   0.0%; dp/kgr=0.0;  2d  1:46:18 ]      0   117    54     -    99    14     0     0   715  1328
    0   126    54     -    99    15     0     0   715  1328
[/][  0: 1: 2 ;  49.1M j/s; [GPU 49.07 Mj/s]   3.0Gj   0.0%; dp/kgr=0.0;  2d  1:46:17 ]      0   114    54     -    99    14     0     0   715  1328
    0   126    54     -    99    14     0     0   715  1328
request you, run in 2 windows one with 85 bit, 2nd window 90 bit, and then get same stats like above stats
thankx
13sXkWqtivcMtNGQpskD78iqsgVy9hcHLF
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April 01, 2020, 10:08:47 PM
 #69
Quote from: alek76 on April 01, 2020, 09:58:51 PM
Quote from: brainless on April 01, 2020, 09:29:23 PM
request you, run in 2 windows one with 85 bit, 2nd window 90 bit, and then get same stats like above stats
thankx
The video card is one, how can this be done in 2 windows?
Code:
[###########################################################]
[#          Pollard-kangaroo PrivKey Recovery Tool         #]
[#          (based on engine of VanitySearch 1.15)         #]
[#                 bitcoin ecdsa secp256k1                 #]
[#                 ver 0.01 GPU Hybrid v4F                 #]
[###########################################################]
[DATE(utc)] 01 Apr 2020 21:47:01
[~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~]
[pow2bits]	90
[warning!] bits = 2^89 too big! long runtime expected
[Wsqrt] (2^44)                                                     200000000000
[M]                                          30000000000000000000000
[rangeW]	2^89..2^90 ; W = U - L = 2^89
[DPsize]	1048576 (hashtable size)
[~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~]
[pubkey#90] loaded
[Xcoordinate] 5C38BD9AE4B10E8A250857006F3CFD98AB15A6196D9F4DFD25BC7ECC77D788D5
[Ycoordinate] A84963EBFF4ABEFE121A0D3C6BF9203FAAEF25898CDA62686EFBF64D1C6FB433
[~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~]
[+] Sp-table of pow2 points - ready 
[~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~]
[UV] U*V=0*0=0 (0x00)
[optimal_mean_jumpsize] 0 
[meanjumpsize#1] 1(now) <= 0(optimal) <= 1(next)
[i] Sp[0]|J-|Sp[1]
[i] this Sp set has low efficiency (over -25%) for this mean jumpsize
[JmaxofSp] Sp[1]=0 nearer to optimal mean jumpsize of Sp set
[i] Old DPmodule: 2^42 
[i] New DPmodule: 2^24 
[DPmodule] 2^24 = 16777216 (0x0000000001000000) 
[+] 0T+0W kangaroos - ready
[CPU] threads: 0 
[GPU] threads: 1 Hang on to your hats... ;-)
[optimal_mean_jumpsize] 100000000000 
[meanjumpsize#50] 147AE147AE14(now) <= 100000000000(optimal) <= 282828282828(next)
[i] Sp[49]|---------------------------------J--------------------------|Sp[50]
[i] this Sp set has low efficiency (over -25%) for this mean jumpsize
[JmaxofSp] Sp[50]=A72F0539782 nearer to optimal mean jumpsize of Sp set
GPUEngine: Old DPmodule = 2^26 
GPUEngine: New DPmodule = 2^24 
GPUEngine: DPmodule: 0x1000000 2^24 = ((pow2W-(2*Power))/2)-2 Hop_modulo: 66 Power: 16 
GPU: GPU #0 Tesla P100-PCIE-16GB (56x64 cores) Grid(448x128)
GPU Bits: 90 
GPU Tame Points: [M] + Rand(pow2W-0) 
GPU Tame Starting Key 0: 30000000000000000000000 
GPU Tame Starting Key 1: 33D3514CE53C953D0BA4780 
GPU Tame Starting Key 2: 45B34629493F92DF6270E1A 
GPU Tame Starting Key 3: 43C414AD039BE37A5CC917D 
GPU Tame Starting Key 4: 3F5DFB73C82CA6703908991 
GPU Tame Starting Key 5: 319E8D8FAA093036DBD6776 
GPU Tame Starting Key 6: 44BE976F9003A8347114FAF 
GPU Tame Starting Key 7: 368F590227D3D6D1348D9B9 
GPU Tame Starting Key 8: 313916577FF17380ADF23BD 
GPU Tame Starting Key 9: 39645E0A07EC6DB33F1C7A8 
GPU Tame Starting Key 57343: 4FC0EF877F7A0011C4256B9 Thread: 57344 

GPU Wild Points: [Target] + Rand(pow2W-1) 
GPU Wild Starting Key 0: EC60EA76E79B4129385AA3 
GPU Wild Starting Key 1: AA345B7E71920FE99F9AFF 
GPU Wild Starting Key 2: FDD8B3CE587F4BDEC21CA3 
GPU Wild Starting Key 3: CE574FFB88BE4D3A2EECEC 
GPU Wild Starting Key 4: BD79BE0A1FA4BEF1E1160E 
GPU Wild Starting Key 5: 18C9B86CF5CEA2EF0663C1 
GPU Wild Starting Key 6: B9F57FAD77DF1EFB9153CE 
GPU Wild Starting Key 7: DCC29E21F7563F44DC369A 
GPU Wild Starting Key 8: 125627EB3646104313565B 
GPU Wild Starting Key 9: EB43CF6E7B12CA2B91CC3A 
GPU Wild Starting Key 57343: 8319066E3C8B5BC3F1DCC0 Thread: 57344 

[+] Runing Comparator every: 44 sec

[i] Comparator time: 0.178 msec wild.txt 130 bytes tame.txt 260 bytes 
Wed Apr  1 21:47:03 2020       
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 440.64.00    Driver Version: 418.67       CUDA Version: 10.1     |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|===============================+======================+======================|
|   0  Tesla P100-PCIE...  Off  | 00000000:00:04.0 Off |                    0 |
| N/A   40C    P0   104W / 250W |   5865MiB / 16280MiB |     99%      Default |
+-------------------------------+----------------------+----------------------+
                                                                               
+-----------------------------------------------------------------------------+
| Processes:                                                       GPU Memory |
|  GPU       PID   Type   Process name                             Usage      |
|=============================================================================|
+-----------------------------------------------------------------------------+
[|][  0: 0:44 ;  48.8M j/s; [GPU 48.85 Mj/s]   2.0Gj   0.0%; dp/kgr=0.0;  8d  8: 4: 0 ]  
[i] Comparator time: 0.242 msec wild.txt 14560 bytes tame.txt 18460 bytes 
Wed Apr  1 21:47:47 2020       
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 440.64.00    Driver Version: 418.67       CUDA Version: 10.1     |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|===============================+======================+======================|
|   0  Tesla P100-PCIE...  Off  | 00000000:00:04.0 Off |                    0 |
| N/A   51C    P0   109W / 250W |   5865MiB / 16280MiB |    100%      Default |
+-------------------------------+----------------------+----------------------+
                                                                               
+-----------------------------------------------------------------------------+
| Processes:                                                       GPU Memory |
|  GPU       PID   Type   Process name                             Usage      |
|=============================================================================|
+-----------------------------------------------------------------------------+
[-][  0: 1:28 ;  48.8M j/s; [GPU 48.85 Mj/s]   4.0Gj   0.0%; dp/kgr=0.0;  8d  8: 3:14 ]  
[i] Comparator time: 0.526 msec wild.txt 30680 bytes tame.txt 35620 bytes 
Wed Apr  1 21:48:31 2020       
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 440.64.00    Driver Version: 418.67       CUDA Version: 10.1     |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|===============================+======================+======================|
|   0  Tesla P100-PCIE...  Off  | 00000000:00:04.0 Off |                    0 |
| N/A   57C    P0   125W / 250W |   5865MiB / 16280MiB |     99%      Default |
+-------------------------------+----------------------+----------------------+
                                                                               
+-----------------------------------------------------------------------------+
| Processes:                                                       GPU Memory |
|  GPU       PID   Type   Process name                             Usage      |
|=============================================================================|
+-----------------------------------------------------------------------------+
[|][  0: 2:12 ;  48.6M j/s; [GPU 48.62 Mj/s]   6.0Gj   0.0%; dp/kgr=0.0;  8d  8:59:14 ]  
[i] Comparator time: 1.113 msec wild.txt 47450 bytes tame.txt 52910 bytes 
Wed Apr  1 21:49:15 2020       
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 440.64.00    Driver Version: 418.67       CUDA Version: 10.1     |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|===============================+======================+======================|
|   0  Tesla P100-PCIE...  Off  | 00000000:00:04.0 Off |                    0 |
| N/A   61C    P0   132W / 250W |   5865MiB / 16280MiB |     99%      Default |
+-------------------------------+----------------------+----------------------+
                                                                               
+-----------------------------------------------------------------------------+
| Processes:                                                       GPU Memory |
|  GPU       PID   Type   Process name                             Usage      |
|=============================================================================|
+-----------------------------------------------------------------------------+
[-][  0: 2:56 ;  48.8M j/s; [GPU 48.85 Mj/s]   8.0Gj   0.0%; dp/kgr=0.0;  8d  8: 1:44 ]  
[i] Comparator time: 1.640 msec wild.txt 62530 bytes tame.txt 70720 bytes 
Wed Apr  1 21:49:59 2020       
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 440.64.00    Driver Version: 418.67       CUDA Version: 10.1     |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|===============================+======================+======================|
|   0  Tesla P100-PCIE...  Off  | 00000000:00:04.0 Off |                    0 |
| N/A   64C    P0   125W / 250W |   5865MiB / 16280MiB |    100%      Default |
+-------------------------------+----------------------+----------------------+
                                                                               
+-----------------------------------------------------------------------------+
| Processes:                                                       GPU Memory |
|  GPU       PID   Type   Process name                             Usage      |
|=============================================================================|
+-----------------------------------------------------------------------------+
[|][  0: 3:40 ;  48.8M j/s; [GPU 48.85 Mj/s]  10.0Gj   0.0%; dp/kgr=0.0;  8d  8: 1:30 ]  
[i] Comparator time: 2.471 msec wild.txt 78910 bytes tame.txt 87620 bytes 
Wed Apr  1 21:50:43 2020       
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 440.64.00    Driver Version: 418.67       CUDA Version: 10.1     |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|===============================+======================+======================|
|   0  Tesla P100-PCIE...  Off  | 00000000:00:04.0 Off |                    0 |
| N/A   66C    P0   122W / 250W |   5865MiB / 16280MiB |     99%      Default |
+-------------------------------+----------------------+----------------------+
                                                                               
+-----------------------------------------------------------------------------+
| Processes:                                                       GPU Memory |
|  GPU       PID   Type   Process name                             Usage      |
|=============================================================================|
+-----------------------------------------------------------------------------+
[-][  0: 4:24 ;  48.8M j/s; [GPU 48.85 Mj/s]  12.0Gj   0.0%; dp/kgr=0.0;  8d  8: 0:46 ]  
[i] Comparator time: 3.432 msec wild.txt 93600 bytes tame.txt 105040 bytes 
Wed Apr  1 21:51:27 2020       
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 440.64.00    Driver Version: 418.67       CUDA Version: 10.1     |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|===============================+======================+======================|
|   0  Tesla P100-PCIE...  Off  | 00000000:00:04.0 Off |                    0 |
| N/A   67C    P0   124W / 250W |   5865MiB / 16280MiB |     99%      Default |
+-------------------------------+----------------------+----------------------+
                                                                               
+-----------------------------------------------------------------------------+
| Processes:                                                       GPU Memory |
|  GPU       PID   Type   Process name                             Usage      |
|=============================================================================|
+-----------------------------------------------------------------------------+
nvidia-smi  dmon
Code:
[i] Comparator time: 0.094 msec wild.txt 0 bytes tame.txt 390 bytes 
# gpu   pwr gtemp mtemp    sm   mem   enc   dec  mclk  pclk
# Idx     W     C     C     %     %     %     %   MHz   MHz
    0   119    42     -    99    15     0     0   715  1328
    0   118    44     -   100    15     0     0   715  1328
[\][  0: 0: 2 ;  47.7M j/s; [GPU 47.70 Mj/s]  95.0Mj   0.0%; dp/kgr=0.0;  8d 12:53:31 ]      0   114    44     -    99    14     0     0   715  1328
    0   125    45     -    99    14     0     0   715  1328
[|][  0: 0: 4 ;  48.6M j/s; [GPU 48.62 Mj/s] 194.0Mj   0.0%; dp/kgr=0.0;  8d  9: 1:36 ]      0   105    45     -    99    14     0     0   715  1328
    0   125    45     -    99    14     0     0   715  1328
[/][  0: 0: 6 ;  48.3M j/s; [GPU 48.31 Mj/s] 289.0Mj   0.0%; dp/kgr=0.0;  8d 10:17:51 ]      0   103    46     -    99    15     0     0   715  1328
    0   124    46     -    99    14     0     0   715  1328
[-][  0: 0: 8 ;  48.6M j/s; [GPU 48.62 Mj/s] 389.0Mj   0.0%; dp/kgr=0.0;  8d  9: 1:26 ]      0   112    46     -    99    14     0     0   715  1328
    0   120    46     -    99    15     0     0   715  1328
[\][  0: 0:10 ;  48.4M j/s; [GPU 48.43 Mj/s] 484.0Mj   0.0%; dp/kgr=0.0;  8d  9:47: 3 ]      0   120    47     -    99    14     0     0   715  1328
    0   114    47     -    99    14     0     0   715  1328
[|][  0: 0:12 ;  48.6M j/s; [GPU 48.62 Mj/s] 583.0Mj   0.0%; dp/kgr=0.0;  8d  9: 1:15 ]      0   126    47     -    99    15     0     0   715  1328
    0   101    47     -    99    14     0     0   715  1328
[/][  0: 0:14 ;  48.5M j/s; [GPU 48.49 Mj/s] 678.0Mj   0.0%; dp/kgr=0.0;  8d  9:33:49 ]      0   126    48     -    98    14     0     0   715  1328
    0   107    48     -    99    15     0     0   715  1328
[-][  0: 0:16 ;  48.6M j/s; [GPU 48.62 Mj/s] 778.0Mj   0.0%; dp/kgr=0.0;  8d  9: 1:10 ]      0   123    48     -    99    15     0     0   715  1328
    0   123    49     -    99    14     0     0   715  1328
[\][  0: 0:18 ;  48.8M j/s; [GPU 48.85 Mj/s] 877.0Mj   0.0%; dp/kgr=0.0;  8d  8: 4:31 ]      0   112    49     -    99    14     0     0   715  1328
    0   126    49     -    99    15     0     0   715  1328
[|][  0: 0:20 ;  48.6M j/s; [GPU 48.62 Mj/s] 972.0Mj   0.0%; dp/kgr=0.0;  8d  9: 1:10 ]      0    96    49     -    99    14     0     0   715  1328
    0   126    49     -   100    15     0     0   715  1328
[/][  0: 0:22 ;  48.8M j/s; [GPU 48.85 Mj/s]   1.0Gj   0.0%; dp/kgr=0.0;  8d  8: 4:30 ]      0   109    49     -    99    14     0     0   715  1328
    0   123    49     -    99    14     0     0   715  1328
[-][  0: 0:24 ;  48.6M j/s; [GPU 48.62 Mj/s]   1.0Gj   0.0%; dp/kgr=0.0;  8d  9: 1:10 ]      0   118    50     -    99    14     0     0   715  1328
    0   112    50     -    99    15     0     0   715  1328
[\][  0: 0:26 ;  48.8M j/s; [GPU 48.85 Mj/s]   1.0Gj   0.0%; dp/kgr=0.0;  8d  8: 4:35 ]      0   128    50     -    98    14     0     0   715  1328
    0   106    51     -    99    15     0     0   715  1328
[|][  0: 0:28 ;  48.6M j/s; [GPU 48.62 Mj/s]   1.0Gj   0.0%; dp/kgr=0.0;  8d  9: 1:15 ]      0   126    51     -    99    15     0     0   715  1328
    0   108    51     -    99    14     0     0   715  1328
[/][  0: 0:30 ;  48.8M j/s; [GPU 48.85 Mj/s]   1.0Gj   0.0%; dp/kgr=0.0;  8d  8: 4:35 ]      0   125    51     -    99    14     0     0   715  1328
    0   117    51     -    99    15     0     0   715  1328
[-][  0: 0:32 ;  48.8M j/s; [GPU 48.85 Mj/s]   1.0Gj   0.0%; dp/kgr=0.0;  8d  8: 4:33 ]      0   122    51     -    99    14     0     0   715  1328
    0   122    52     -    98    14     0     0   715  1328
[\][  0: 0:34 ;  48.6M j/s; [GPU 48.62 Mj/s]   1.0Gj   0.0%; dp/kgr=0.0;  8d  9: 1:15 ]      0   119    52     -    99    15     0     0   715  1328
    0   124    52     -    99    14     0     0   715  1328
[|][  0: 0:36 ;  48.8M j/s; [GPU 48.85 Mj/s]   1.0Gj   0.0%; dp/kgr=0.0;  8d  8: 4:30 ]      0   100    52     -    98    14     0     0   715  1328
    0   124    52     -    99    15     0     0   715  1328
[/][  0: 0:38 ;  48.6M j/s; [GPU 48.62 Mj/s]   1.0Gj   0.0%; dp/kgr=0.0;  8d  9: 1: 4 ]      0   119    52     -    99    14     0     0   715  1328
    0   119    53     -    99    14     0     0   715  1328
[-][  0: 0:40 ;  48.8M j/s; [GPU 48.85 Mj/s]   1.0Gj   0.0%; dp/kgr=0.0;  8d  8: 4:17 ]      0   129    53     -    99    14     0     0   715  1328
    0   103    53     -    99    14     0     0   715  1328
[\][  0: 0:42 ;  48.6M j/s; [GPU 48.62 Mj/s]   2.0Gj   0.0%; dp/kgr=0.0;  8d  9: 0:50 ]      0   128    53     -    99    15     0     0   715  1328
    0   113    53     -   100    15     0     0   715  1328
[|][  0: 0:44 ;  48.8M j/s; [GPU 48.85 Mj/s]   2.0Gj   0.0%; dp/kgr=0.0;  8d  8: 4: 8 ]  # gpu   pwr gtemp mtemp    sm   mem   enc   dec  mclk  pclk
# Idx     W     C     C     %     %     %     %   MHz   MHz
    0   123    53     -    99    14     0     0   715  1328
    0   120    53     -   100    15     0     0   715  1328
[/][  0: 0:46 ;  48.8M j/s; [GPU 48.85 Mj/s]   2.0Gj   0.0%; dp/kgr=0.0;  8d  8: 4:17 ]      0   118    53     -    99    15     0     0   715  1328
    0   129    54     -   100    14     0     0   715  1328
[-][  0: 0:48 ;  48.6M j/s; [GPU 48.62 Mj/s]   2.0Gj   0.0%; dp/kgr=0.0;  8d  9: 0:58 ]      0   109    54     -    99    14     0     0   715  1328
    0   128    54     -    99    14     0     0   715  1328
[\][  0: 0:50 ;  48.8M j/s; [GPU 48.85 Mj/s]   2.0Gj   0.0%; dp/kgr=0.0;  8d  8: 4: 8 ]      0   102    54     -    99    14     0     0   715  1328
    0   128    54     -    98    14     0     0   715  1328
[|][  0: 0:52 ;  48.6M j/s; [GPU 48.62 Mj/s]   2.0Gj   0.0%; dp/kgr=0.0;  8d  9: 0:43 ]      0   113    55     -    99    15     0     0   715  1328
    0   126    54     -    99    14     0     0   715  1328
[/][  0: 0:54 ;  48.8M j/s; [GPU 48.85 Mj/s]   2.0Gj   0.0%; dp/kgr=0.0;  8d  8: 4:10 ]      0   117    55     -    99    14     0     0   715  1328
    0   122    55     -    99    14     0     0   715  1328
[-][  0: 0:56 ;  48.6M j/s; [GPU 48.62 Mj/s]   2.0Gj   0.0%; dp/kgr=0.0;  8d  9: 0:48 ]      0   127    55     -    99    14     0     0   715  1328
    0   119    55     -    99    14     0     0   715  1328
[\][  0: 0:58 ;  48.8M j/s; [GPU 48.85 Mj/s]   2.0Gj   0.0%; dp/kgr=0.0;  8d  8: 4: 3 ]      0   129    55     -    99    14     0     0   715  1328
    0   113    55     -   100    14     0     0   715  1328
[|][  0: 1: 0 ;  48.8M j/s; [GPU 48.85 Mj/s]   2.0Gj   0.0%; dp/kgr=0.0;  8d  8: 4: 5 ]      0   129    55     -    99    15     0     0   715  1328
    0   105    56     -    99    15     0     0   715  1328
[/][  0: 1: 2 ;  48.6M j/s; [GPU 48.62 Mj/s]   3.0Gj   0.0%; dp/kgr=0.0;  8d  9: 0:27 ]      0   128    56     -    99    14     0     0   715  1328
    0   112    56     -    99    15     0     0   715  1328
[-][  0: 1: 4 ;  48.8M j/s; [GPU 48.85 Mj/s]   3.0Gj   0.0%; dp/kgr=0.0;  8d  8: 3:43 ]      0   127    56     -    99    15     0     0   715  1328
    0   120    56     -   100    14     0     0   715  1328
[\][  0: 1: 6 ;  48.6M j/s; [GPU 48.62 Mj/s]   3.0Gj   0.0%; dp/kgr=0.0;  8d  9: 0:21 ]      0   121    56     -    99    14     0     0   715  1328
    0   130    56     -    99    15     0     0   715  1328
[|][  0: 1: 8 ;  48.8M j/s; [GPU 48.85 Mj/s]   3.0Gj   0.0%; dp/kgr=0.0;  8d  8: 3:46 ]      0   109    56     -    99    14     0     0   715  1328
    0   129    56     -    98    14     0     0   715  1328
[/][  0: 1:10 ;  48.6M j/s; [GPU 48.62 Mj/s]   3.0Gj   0.0%; dp/kgr=0.0;  8d  9: 0:16 ]      0   110    57     -    99    15     0     0   715  1328
    0   127    57     -    99    15     0     0   715  1328
[-][  0: 1:12 ;  48.8M j/s; [GPU 48.85 Mj/s]   3.0Gj   0.0%; dp/kgr=0.0;  8d  8: 3:36 ]      0   116    57     -    99    14     0     0   715  1328
    0   124    57     -    99    15     0     0   715  1328
[\][  0: 1:14 ;  48.8M j/s; [GPU 48.85 Mj/s]   3.0Gj   0.0%; dp/kgr=0.0;  8d  8: 3:46 ]      0   126    57     -    99    15     0     0   715  1328
    0   120    57     -    99    14     0     0   715  1328
[|][  0: 1:16 ;  48.6M j/s; [GPU 48.62 Mj/s]   3.0Gj   0.0%; dp/kgr=0.0;  8d  9: 0:30 ]      0   131    57     -    99    15     0     0   715  1328
    0   119    57     -    99    14     0     0   715  1328
[/][  0: 1:18 ;  48.8M j/s; [GPU 48.85 Mj/s]   3.0Gj   0.0%; dp/kgr=0.0;  8d  8: 3:52 ]      0   130    57     -    98    14     0     0   715  1328
    0   107    58     -    99    15     0     0   715  1328
[-][  0: 1:20 ;  48.6M j/s; [GPU 48.62 Mj/s]   3.0Gj   0.0%; dp/kgr=0.0;  8d  9: 0:32 ]      0   130    58     -    99    14     0     0   715  1328
    0   109    58     -    99    15     0     0   715  1328
[\][  0: 1:22 ;  48.8M j/s; [GPU 48.85 Mj/s]   3.0Gj   0.0%; dp/kgr=0.0;  8d  8: 3:54 ]      0   129    58     -    99    15     0     0   715  1328
    0   115    58     -    99    14     0     0   715  1328
[|][  0: 1:24 ;  48.8M j/s; [GPU 48.85 Mj/s]   4.0Gj   0.0%; dp/kgr=0.0;  8d  8: 3:46 ]      0   127    58     -    99    14     0     0   715  1328
[/][  0: 1:26 ;  48.8M j/s; [GPU 48.85 Mj/s]   4.0Gj   0.0%; dp/kgr=0.0;  8d  8: 3:42 ]      0   120    58     -    99    15     0     0   715  1328
    0   126    58     -   100    14     0     0   715  1328
[-][  0: 1:28 ;  48.8M j/s; [GPU 48.85 Mj/s]   4.0Gj   0.0%; dp/kgr=0.0;  8d  8: 3:42 ]      0   119    58     -    99    14     0     0   715  1328
# gpu   pwr gtemp mtemp    sm   mem   enc   dec  mclk  pclk
# Idx     W     C     C     %     %     %     %   MHz   MHz
    0   124    58     -    99    15     0     0   715  1328
[\][  0: 1:30 ;  48.6M j/s; [GPU 48.62 Mj/s]   4.0Gj   0.0%; dp/kgr=0.0;  8d  9: 0: 9 ]      0   126    59     -    99    14     0     0   715  1328
    0   118    59     -    98    14     0     0   715  1328
[|][  0: 1:32 ;  48.8M j/s; [GPU 48.85 Mj/s]   4.0Gj   0.0%; dp/kgr=0.0;  8d  8: 3:18 ]      0   131    59     -   100    15     0     0   715  1328
    0   110    59     -    99    14     0     0   715  1328
[/][  0: 1:34 ;  48.8M j/s; [GPU 48.85 Mj/s]   4.0Gj   0.0%; dp/kgr=0.0;  8d  8: 3:22 ]      0   131    59     -    99    15     0     0   715  1328
    0    99    59     -    99    15     0     0   715  1328
[-][  0: 1:36 ;  48.8M j/s; [GPU 48.85 Mj/s]   4.0Gj   0.0%; dp/kgr=0.0;  8d  8: 3:13 ]      0   130    59     -    99    14     0     0   715  1328
    0   116    59     -    98    14     0     0   715  1328
8d   Smiley
it can run 2 commands in 2 windows, for 1 card, just try, if you get error on any command let me know
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April 01, 2020, 10:39:37 PM
 #70
Quote from: alek76 on April 01, 2020, 10:26:38 PM
Quote from: brainless on April 01, 2020, 10:08:47 PM
it can run 2 commands in 2 windows, for 1 card, just try, if you get error on any command let me know
The P100 video card is used remotely, I do not have a normal video card.
And how can iron be used if it is occupied by another process Huh The driver error itself will be.
in short i am guessing, your gpu engine commands inside program is default, and not useing full gpu power, as i said bitcrack used switches B T P , where you set compute thread, process, by this speed will increase more then 10x, study about bitcrack codes, hope u get success to increase more real speed
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April 01, 2020, 11:29:31 PM
 #71
Quote from: alek76 on April 01, 2020, 11:02:07 PM
Quote from: brainless on April 01, 2020, 10:39:37 PM
Quote from: alek76 on April 01, 2020, 10:26:38 PM
Quote from: brainless on April 01, 2020, 10:08:47 PM
it can run 2 commands in 2 windows, for 1 card, just try, if you get error on any command let me know
The P100 video card is used remotely, I do not have a normal video card.
And how can iron be used if it is occupied by another process Huh The driver error itself will be.
in short i am guessing, your gpu engine commands inside program is default, and not useing full gpu power, as i said bitcrack used switches B T P , where you set compute thread, process, by this speed will increase more then 10x, study about bitcrack codes, hope u get success to increase more real speed
Again 25. Each jump requires 1 inversion by modulus, since the distance is not known in advance where to jump and it is calculated by dividing it with the remainder of the PointX coordinate on DPmodulo - this is repeated after each jump in each stream. And now, count how many inversions you need to do and please read about this mathematical function. It takes a lot of processor time, since it is necessary to do many mathematical operations with 256 bit numbers for 1 inversion modulo. You do not compare the Polard algorithm with VanitySearch (and bitcrack), in which 1 inversion is done for 1024 keys using the Montgomery’s trick, since the step is known in advance - it is a delta from 0 to -512 and from 0 to +512. Check out the GPU code.  Smiley
Accordingly, the speed can be tens of times different!
you are talking about code, its P kangroo, you are right at your own way, i am talking code running at hardware structure space, as first kangroo was by pinkachunka at bitcrack, his stats was 100 bit in 3 days, and your 90 bit are shown for 8 days, he uses full power of GPU, mean full space by useing bitcrack switches, he uses 15.9gb during workout, and your ram used is 5.5gb , maybe you need expand table size or design by hardware structure switches, where maximum result for less time
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April 02, 2020, 03:03:01 PM
 #72
Quote from: alek76 on April 02, 2020, 12:04:41 AM
Quote from: brainless on April 01, 2020, 11:29:31 PM
you are talking about code, its P kangroo, you are right at your own way, i am talking code running at hardware structure space, as first kangroo was by pinkachunka at bitcrack, his stats was 100 bit in 3 days, and your 90 bit are shown for 8 days, he uses full power of GPU, mean full space by useing bitcrack switches, he uses 15.9gb during workout, and your ram used is 5.5gb , maybe you need expand table size or design by hardware structure switches, where maximum result for less time
Honestly, I have not studied the bitcrack code. I do not like AMD. Perhaps he uses group inversion for several threads with a previously specified distance between them or uses tables. There is a clear advantage of speed, I agree. In this code, for each thread, the start key is random, the counter counts the total speed. In general, according to Polard - the number of parallel threads does not particularly affect the speed of the solution - this is a sequential algorithm. So maybe I'm wrong)
As first kangroo was by pinkachunka at bitcrack Huh
These were preliminary calculations, bitcrack has nothing to do with kangaroo.
https://bitcointalk.org/index.php?topic=1306983.msg51848002#msg51848002
first public P-kangro were in python, useing 15k jumps/s, then upon advice by community, its updated with gmpy2 featured, and speed goes to 180k jumps/s, then more advices about thread and core, its able to uses all cores and threads, and in 2 cores processors, speed reach at 600k( 4core processors, speed 1.2m jumps/s,
lets see when u will update github for P-kangroo gpu, community experts will start giving you updates , advances, and iissues to be need resolve, after analyze in working code, every one  knows GPU kangroo already running by some dev from last 6 months, and maybe they are close to 110 puzzle, and rest community have no chance to go close, they will just use it for testing/analyzing/ for create next level idea's
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April 04, 2020, 05:19:49 PM
 #73
Quote from: brainless on April 02, 2020, 03:03:01 PM
Quote from: alek76 on April 02, 2020, 12:04:41 AM
Quote from: brainless on April 01, 2020, 11:29:31 PM
you are talking about code, its P kangroo, you are right at your own way, i am talking code running at hardware structure space, as first kangroo was by pinkachunka at bitcrack, his stats was 100 bit in 3 days, and your 90 bit are shown for 8 days, he uses full power of GPU, mean full space by useing bitcrack switches, he uses 15.9gb during workout, and your ram used is 5.5gb , maybe you need expand table size or design by hardware structure switches, where maximum result for less time
Honestly, I have not studied the bitcrack code. I do not like AMD. Perhaps he uses group inversion for several threads with a previously specified distance between them or uses tables. There is a clear advantage of speed, I agree. In this code, for each thread, the start key is random, the counter counts the total speed. In general, according to Polard - the number of parallel threads does not particularly affect the speed of the solution - this is a sequential algorithm. So maybe I'm wrong)
As first kangroo was by pinkachunka at bitcrack Huh
These were preliminary calculations, bitcrack has nothing to do with kangaroo.
https://bitcointalk.org/index.php?topic=1306983.msg51848002#msg51848002
first public P-kangro were in python, useing 15k jumps/s, then upon advice by community, its updated with gmpy2 featured, and speed goes to 180k jumps/s, then more advices about thread and core, its able to uses all cores and threads, and in 2 cores processors, speed reach at 600k( 4core processors, speed 1.2m jumps/s,
lets see when u will update github for P-kangroo gpu, community experts will start giving you updates , advances, and iissues to be need resolve, after analyze in working code, every one  knows GPU kangroo already running by some dev from last 6 months, and maybe they are close to 110 puzzle, and rest community have no chance to go close, they will just use it for testing/analyzing/ for create next level idea's
2days before i see alek76 message in post, he said soon at github, today i see, his post deleted, maybe he chnage his mind, and his new mind maybe work better then old mind Smiley
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April 05, 2020, 08:29:45 AM
 #74
Quote from: alek76 on April 04, 2020, 06:20:06 PM
Quote from: brainless on April 04, 2020, 05:19:49 PM
2days before i see alek76 message in post, he said soon at github, today i see, his post deleted, maybe he chnage his mind, and his new mind maybe work better then old mind Smiley
Right. First you need to fix possible inaccuracies, then there is no time to do this on Github.
The comparator on python works faster than on c ++, when the file sizes are more than 50MB - have to choose a comparator. In general, the correct way is to do the aggregation of selected points in the sql database on the server. The program should send them as a client. I have no time and knowledge for this  Sad I will soon post it as it is.

Already available https://github.com/alek76-2/vs-kangaroo-hybrid


Thanks, brother!
Can you help, I get this error when triying to run after successfull complilation.
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April 05, 2020, 08:31:45 AM
Last edit: April 07, 2020, 08:07:52 AM by walletrecovery
 #75
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вы бyдeтe имeть в pacпopяжeнии coтни видeoкapт, нa peшeниe пoтpeбyютcя мecяцы!

Taк вoт, пpoчитaв тeмy "Bitcoin challenge" зaгpyзив и нacтpoив пpoгpaммy -вepcия 0.31
(https://github.com/brichard19/BitCrack), выяcнилocь, чтo в пpoгpaммe нe paбoтaeт пapa
oпций, a имeннo: "--continue" и "-r" пepвaя нyжнa для пpoдoлжeния пoиcкa пpивaтнoгo
ключa c мecтa, гдe пpoгpaммa былa зaвepшeнa aвapийнo (нaпpимep ecли выключили
cвeт), a втopyю oпцию ("-r" random - cлyчaйный пoиcк) и вoвce пoчeмy-тo "выpeзaли"!?

Ho этo вcё былo бы пoл бeды, ecли бы нe тaкиe фaкты, кoтopыe выяcнилиcь вo вpeмя
экcпepимeнтoв c интepнeтoм. Taк вoт, ecли зaпycкaть пpoгpaммy "bitcrack" и oтключить
Интepнeт, тo пoтpeблeниe элeктpoэнepгии пaдaeт poвнo нa 20%, a cкopocть пepeбopa
пaдaeт в 2 paзa. Cтpaннo, пpaвдa? Beдь для пepeбopa диaпaзoнa Интepнeт нe нyжeн!
Пpи пocлeдyющeм зaпycкe мaйнepa ("Claymore") кaждaя фepмa, нa кoтopoй paбoтaлa
пpoгpaммa "bitcrack" пepecтaёт мaйнить нa oднoй из видeoкapт (пoкaзывaeт 0-1 MH/s).
Toлькo пocлe пepeзaгpyзки ("reset") фepм, paбoтa вcex кapт (AMD) вoccтaнaвливaeтcя.
https://walletrecovery.ru/
brainless
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April 05, 2020, 08:45:00 AM
 #76
Quote from: alek76 on April 04, 2020, 06:20:06 PM
Quote from: brainless on April 04, 2020, 05:19:49 PM
2days before i see alek76 message in post, he said soon at github, today i see, his post deleted, maybe he chnage his mind, and his new mind maybe work better then old mind Smiley
Right. First you need to fix possible inaccuracies, then there is no time to do this on Github.
The comparator on python works faster than on c ++, when the file sizes are more than 50MB - have to choose a comparator. In general, the correct way is to do the aggregation of selected points in the sql database on the server. The program should send them as a client. I have no time and knowledge for this  Sad I will soon post it as it is.

Already available https://github.com/alek76-2/vs-kangaroo-hybrid


i just see issue at your github, same stuck at error with gtx 750, maybe problem of hashtable size, check it
13sXkWqtivcMtNGQpskD78iqsgVy9hcHLF
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April 05, 2020, 08:54:31 AM
 #77
Quote from: Firebox on April 05, 2020, 08:29:45 AM
Quote from: alek76 on April 04, 2020, 06:20:06 PM
Quote from: brainless on April 04, 2020, 05:19:49 PM
2days before i see alek76 message in post, he said soon at github, today i see, his post deleted, maybe he chnage his mind, and his new mind maybe work better then old mind Smiley
Right. First you need to fix possible inaccuracies, then there is no time to do this on Github.
The comparator on python works faster than on c ++, when the file sizes are more than 50MB - have to choose a comparator. In general, the correct way is to do the aggregation of selected points in the sql database on the server. The program should send them as a client. I have no time and knowledge for this  Sad I will soon post it as it is.

Already available https://github.com/alek76-2/vs-kangaroo-hybrid


Thanks, brother!
Can you help, I get this error when triying to run after successfull complilation.

Your GPU code not compiled , mention in your snap
have u compiled by this command
make gpu=1 ccap=20 all
where ccap setting as per your card ...
13sXkWqtivcMtNGQpskD78iqsgVy9hcHLF
brainless
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April 05, 2020, 09:36:22 AM
 #78
Quote from: alek76 on April 05, 2020, 09:30:24 AM
Quote from: brainless on April 05, 2020, 08:45:00 AM
i just see issue at your github, same stuck at error with gtx 750, maybe problem of hashtable size, check it
Hashtable for the CPU. What does ptxas info say?
whats your makefile setting for cuda 8
13sXkWqtivcMtNGQpskD78iqsgVy9hcHLF
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April 05, 2020, 09:37:24 AM
 #79
Quote from: brainless on April 05, 2020, 09:36:22 AM
Quote from: alek76 on April 05, 2020, 09:30:24 AM
Quote from: brainless on April 05, 2020, 08:45:00 AM
i just see issue at your github, same stuck at error with gtx 750, maybe problem of hashtable size, check it
Hashtable for the CPU. What does ptxas info say?
whats your makefile setting for cuda 8
same issues as mention here with cuda 8
https://github.com/alek76-2/vs-kangaroo-hybrid/issues
13sXkWqtivcMtNGQpskD78iqsgVy9hcHLF
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April 05, 2020, 11:23:27 AM
 #80
Quote from: brainless on April 05, 2020, 08:54:31 AM
Quote from: Firebox on April 05, 2020, 08:29:45 AM
Quote from: alek76 on April 04, 2020, 06:20:06 PM
Quote from: brainless on April 04, 2020, 05:19:49 PM
2days before i see alek76 message in post, he said soon at github, today i see, his post deleted, maybe he chnage his mind, and his new mind maybe work better then old mind Smiley
Right. First you need to fix possible inaccuracies, then there is no time to do this on Github.
The comparator on python works faster than on c ++, when the file sizes are more than 50MB - have to choose a comparator. In general, the correct way is to do the aggregation of selected points in the sql database on the server. The program should send them as a client. I have no time and knowledge for this  Sad I will soon post it as it is.

Already available https://github.com/alek76-2/vs-kangaroo-hybrid


Thanks, brother!
Can you help, I get this error when triying to run after successfull complilation.

Your GPU code not compiled , mention in your snap
have u compiled by this command
make gpu=1 ccap=20 all
where ccap setting as per your card ...
Unfortunatelly I'm not really expert in this. I'm using 'Visual Studio 2019'.
I have finally succeded to comply vs-kangaroo-hybrid.exe by choosing 'Release' in configuration (before was 'Debug' by default), but without any aadditional settings. Just as it was.
Where do I put this settings "make gpu=1 ccap=20 all"?
------
Another question here. Runnigng test and found that script goes over 100% i.e. for #50:
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