brainless
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Merit: 34
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March 31, 2020, 12:42:43 AM |
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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  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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"In a nutshell, the network works like a distributed
timestamp server, stamping the first transaction to spend a coin. It
takes advantage of the nature of information being easy to spread but
hard to stifle." -- Satoshi
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dextronomous
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March 31, 2020, 02:14:44 AM |
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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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brainless
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April 01, 2020, 12:32:34 PM |
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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: // ----------------------------------------------------------------------------
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 |
13sXkWqtivcMtNGQpskD78iqsgVy9hcHLF
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filo1992
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April 01, 2020, 01:04:29 PM |
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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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brainless
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Merit: 34
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April 01, 2020, 04:55:49 PM |
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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 Here is the best result: [###########################################################]
[# 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.  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 |
13sXkWqtivcMtNGQpskD78iqsgVy9hcHLF
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brainless
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Merit: 34
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April 01, 2020, 07:02:03 PM |
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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 |
13sXkWqtivcMtNGQpskD78iqsgVy9hcHLF
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brainless
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Activity: 316
Merit: 34
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April 01, 2020, 08:29:01 PM |
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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 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 | +-----------------------------------------------------------------------------+ |
13sXkWqtivcMtNGQpskD78iqsgVy9hcHLF
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brainless
Member
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Activity: 316
Merit: 34
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April 01, 2020, 09:29:23 PM |
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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 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 | +-----------------------------------------------------------------------------+ [###########################################################]
[# 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 [+] 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
|
|
|
brainless
Member
Offline
Activity: 316
Merit: 34
|
|
April 01, 2020, 10:08:47 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? [###########################################################]
[# 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 [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
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[-][ 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
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[\][ 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
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[|][ 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
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[/][ 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
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[-][ 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
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[\][ 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
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[|][ 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
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[/][ 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
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[-][ 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
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[\][ 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
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[|][ 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
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[/][ 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
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[-][ 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
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[\][ 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
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[|][ 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
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[/][ 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
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[-][ 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
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[\][ 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
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[|][ 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
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[-][ 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
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[\][ 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
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[|][ 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
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[/][ 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
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[-][ 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
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[\][ 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
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[|][ 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
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[/][ 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
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[-][ 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
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[\][ 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
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[|][ 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
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[-][ 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
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[\][ 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
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[|][ 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
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[/][ 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
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[-][ 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
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[\][ 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
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[|][ 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
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[|][ 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
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[/][ 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
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[-][ 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
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8d 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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brainless
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April 01, 2020, 10:39:37 PM |
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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  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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brainless
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April 01, 2020, 11:29:31 PM |
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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 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. 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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brainless
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April 02, 2020, 03:03:01 PM |
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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 These were preliminary calculations, bitcrack has nothing to do with kangaroo. https://bitcointalk.org/index.php?topic=1306983.msg51848002#msg51848002first 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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brainless
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April 04, 2020, 05:19:49 PM |
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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 These were preliminary calculations, bitcrack has nothing to do with kangaroo. https://bitcointalk.org/index.php?topic=1306983.msg51848002#msg51848002first 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 |
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Firebox
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April 05, 2020, 08:29:45 AM |
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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 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 I will soon post it as it is.Already available https://github.com/alek76-2/vs-kangaroo-hybridThanks, brother! Can you help, I get this error when triying to run after successfull complilation.  |
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walletrecovery
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April 05, 2020, 08:31:45 AM
Last edit: April 07, 2020, 08:07:52 AM by walletrecovery |
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Дoбpoгo вpeмeни cyтoк yвaжaeмыe фopyмчaнe! Peшили пoдeлитьcя нaблюдeниями. Ha пpoшлoй нeдeлe пpoчитaл тeмy " https://bitcointalk.org/index.php?topic=5218972.0". Oтдeльнo cтoит oтмeтить, чтo для peшeния кaждoгo из 160 Puzzle ecть caйт, кoтopый пpeдлaгaeт нaйти пpивaтныe ключи и peшить Puzzle, нo тoлькo c пoмoщью вaшeгo CPU. Дaжe caмoe "пpocтoe" зaдaниe Puzzle#64 нa дeлe нacтoлькo cлoжнoe, чтo дaжe ecли 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. |
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brainless
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April 05, 2020, 08:45:00 AM |
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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 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 I will soon post it as it is.Already available https://github.com/alek76-2/vs-kangaroo-hybridi just see issue at your github, same stuck at error with gtx 750, maybe problem of hashtable size, check it |
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brainless
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April 05, 2020, 08:54:31 AM |
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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 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 I will soon post it as it is.Already available https://github.com/alek76-2/vs-kangaroo-hybridThanks, 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 ... |
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brainless
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April 05, 2020, 09:36:22 AM |
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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 |
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brainless
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April 05, 2020, 09:37:24 AM |
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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 |
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Firebox
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April 05, 2020, 11:23:27 AM |
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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 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 I will soon post it as it is.Already available https://github.com/alek76-2/vs-kangaroo-hybridThanks, 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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