LoyceV
Legendary
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Activity: 3486
Merit: 17644
Thick-Skinned Gang Leader and Golden Feather 2021
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August 19, 2017, 04:53:26 PM |
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I have always wanted to do a vanitygen for my cold storage, but I am too paranoid the program would have some sort of built in preset way to make an address the creator also has keys for. How am I supposed to know for sure? I just wish I could trust do it trust-less.
If you're totally paranoid: use split-key: InstructionsI can just create an address, and send you the private key. This means you have to trust me, my computer, my cat, both our email clients, and by definition it can no longer be used for cold storage. So let's not. Instead, use split key: Step 1: Goto https://www.bitaddress.org/ move your mouse/type in the field until it shows 100% and wait a second. Step 1.5: Optional but highly recommended. Download the page, verify the download and run it locally *. Step 2: Click Vanity Wallet click the Generate button next to Generate your "Step1 Key Pair"Step 3: Reply to this thread with your public key and the prefix for your address. Save the private key somewhere safe. You will need it later when I generated your partial private key. Also, let me know if your preferred prefix is case sensitive, or any case is okay (the latter is much faster) Step 4: Once you received your partial private key, go back to bitaddress.org and click on Vanity Wallet. Step 5: Go to step 2 Calculate your vanity wallet. In the first field put the private key you saved and in the second field put the partial private key I gave you. Click Add and Calculate Vanity WalletStep 6: Copy the Vanity Private Key (WIF) and import it into your preferred wallet. Credits to shorena for most of these instructions! If something doesn't work as expected, have a look at this example. In Step 3, you run vanitygen by yourself, and use your own publick key. You can also use split key if you don't trust the computer that you use to run Vanitygen.
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| | Peach BTC bitcoin | │ | Buy and Sell Bitcoin P2P | │ | . .
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▀▀▀▀███████▀▀▀▀ | | EUROPE | AFRICA LATIN AMERICA | | | ▄▀▀▀ █ █ █ █ █ █ █ █ █ █ █ ▀▄▄▄ |
███████▄█ ███████▀ ██▄▄▄▄▄░▄▄▄▄▄ █████████████▀ ▐███████████▌ ▐███████████▌ █████████████▄ ██████████████ ███▀███▀▀███▀ | . Download on the App Store | ▀▀▀▄ █ █ █ █ █ █ █ █ █ █ █ ▄▄▄▀ | ▄▀▀▀ █ █ █ █ █ █ █ █ █ █ █ ▀▄▄▄ |
▄██▄ ██████▄ █████████▄ ████████████▄ ███████████████ ████████████▀ █████████▀ ██████▀ ▀██▀ | . GET IT ON Google Play | ▀▀▀▄ █ █ █ █ █ █ █ █ █ █ █ ▄▄▄▀ |
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slavikus
Newbie
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Activity: 6
Merit: 1
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August 19, 2017, 10:02:57 PM |
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Yes, if you find the private key for one of the items in that list, you will get the reward listed. Use oclvanityminer for that, or oclvanitygen -P <public address> <prefix to search for>
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mrxtraf
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August 19, 2017, 10:36:40 PM |
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Yes, if you find the private key for one of the items in that list, you will get the reward listed. Use oclvanityminer for that, or oclvanitygen -P <public address> <prefix to search for> If i found pair without "-P <public address>". I have clear private - public key. ?
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slavikus
Newbie
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Activity: 6
Merit: 1
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August 19, 2017, 11:32:21 PM |
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If i found pair without "-P <public address>". I have clear private - public key. ?
Yes, but it won't be accepted as a completed work by the vanity pool. You can use it for yourself, though
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HauntingT-Rex
Jr. Member
Offline
Activity: 40
Merit: 1
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August 22, 2017, 04:06:38 AM |
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I have always wanted to do a vanitygen for my cold storage, but I am too paranoid the program would have some sort of built in preset way to make an address the creator also has keys for. How am I supposed to know for sure? I just wish I could trust do it trust-less.
If you're totally paranoid: use split-key: InstructionsI can just create an address, and send you the private key. This means you have to trust me, my computer, my cat, both our email clients, and by definition it can no longer be used for cold storage. So let's not. Instead, use split key: Step 1: Goto https://www.bitaddress.org/ move your mouse/type in the field until it shows 100% and wait a second. Step 1.5: Optional but highly recommended. Download the page, verify the download and run it locally *. Step 2: Click Vanity Wallet click the Generate button next to Generate your "Step1 Key Pair"Step 3: Reply to this thread with your public key and the prefix for your address. Save the private key somewhere safe. You will need it later when I generated your partial private key. Also, let me know if your preferred prefix is case sensitive, or any case is okay (the latter is much faster) Step 4: Once you received your partial private key, go back to bitaddress.org and click on Vanity Wallet. Step 5: Go to step 2 Calculate your vanity wallet. In the first field put the private key you saved and in the second field put the partial private key I gave you. Click Add and Calculate Vanity WalletStep 6: Copy the Vanity Private Key (WIF) and import it into your preferred wallet. Credits to shorena for most of these instructions! If something doesn't work as expected, have a look at this example. In Step 3, you run vanitygen by yourself, and use your own publick key. You can also use split key if you don't trust the computer that you use to run Vanitygen. What is so special about split-key? Even that might still have some sort of malicious code.
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Tomorrowman
Member
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Activity: 74
Merit: 10
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August 25, 2017, 06:40:46 PM |
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Guys, I use vanitygen plus with 1080ti and after several hours of work I get an error: clEnqueueMapBuffer(4): clWaitForEvents(NDRange,e): CL_OUT_OF_RESOURCES CL_INVALID_COMMAND_QUEUE vg_ocl_context_callback error: CL_OUT_OF_RESOURCES error waiting for idle on GeForce GTX 1080 Ti (Device 0).
Device: GeForce GTX 1080 Ti Device: GeForce GTX 1080 Ti Vendor: NVIDIA Corporation (10de) Driver: 385.28 Vendor: 385.28 (10de) Driver: 385.28 Profile: 385.28 Version: OpenCL 1.2 CUDA Profile: OpenCL 1.2 CUDA vg_ocl_context_callback error: CL_OUT_OF_RESOURCES error waiting for idle on GeForce GTX 1080 Ti (Device 0).
Max compute units: 28 Version: OpenCL 1.2 CUDA Max workgroup size: 1024 Max compute units: 28 Global memory: -1073741824 Max workgroup size: 1024 Max allocation: -1342177280 Global memory: -1073741824 ERROR: Could not map row buffer for slot 0 Max allocation: -1342177280 ERROR: allocation failure? vg_ocl_context_callback error: CL_OUT_OF_RESOURCES error waiting for idle on GeForce GTX 1080 Ti (Device 0).
Any ideas? Please help!
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digicoinuser
Legendary
Offline
Activity: 2856
Merit: 1072
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August 26, 2017, 02:52:48 AM |
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Guys, I use vanitygen plus with 1080ti and after several hours of work I get an error: CODE
Any ideas? Please help!
What model GeForce GTX 1080 Ti are you using and if you kill/restart vanitygen does it start working again properly? This is what I use to kill a process if something severely locks up: kill -9 `pidof oclvanitygen` Is there a clue you can go on such as the temperature of the GPU dropping instantly when the program locks up? 102 Mkey/s here with a single GTX 1080 Ti 11GB 352-Bit GDDR5X I agree, the list should be updated and it's way out of date.
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Tomorrowman
Member
Offline
Activity: 74
Merit: 10
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August 26, 2017, 06:54:12 AM |
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Guys, I use vanitygen plus with 1080ti and after several hours of work I get an error: CODE
Any ideas? Please help!
What model GeForce GTX 1080 Ti are you using and if you kill/restart vanitygen does it start working again properly? Asus 1080 ti rog strix oc. Yes, it does start working again with no problem, but after several hours this error repeats.
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mrxtraf
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August 27, 2017, 05:53:45 PM |
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Why down calculattion in used more card. Use 1 card. Showed 37-40 Mkey/s. Use 8 cards at same task. Showed 225-242 Mkey/s. But if calculate must be 296-320. Other big process not runned, only oclvanitygen and systems. And card not used at 100 percents. nvidia-smi Sun Aug 27 17:44:14 2017 +-----------------------------------------------------------------------------+ | NVIDIA-SMI 375.66 Driver Version: 375.66 | |-------------------------------+----------------------+----------------------+ | 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 K80 On | 0000:00:17.0 Off | 0 | | N/A 80C P0 132W / 149W | 1734MiB / 11439MiB | 94% Default | +-------------------------------+----------------------+----------------------+ | 1 Tesla K80 On | 0000:00:18.0 Off | 0 | | N/A 64C P0 151W / 149W | 1734MiB / 11439MiB | 100% Default | +-------------------------------+----------------------+----------------------+ | 2 Tesla K80 On | 0000:00:19.0 Off | 0 | | N/A 82C P0 120W / 149W | 1734MiB / 11439MiB | 82% Default | +-------------------------------+----------------------+----------------------+ | 3 Tesla K80 On | 0000:00:1A.0 Off | 0 | | N/A 68C P0 144W / 149W | 1734MiB / 11439MiB | 100% Default | +-------------------------------+----------------------+----------------------+ | 4 Tesla K80 On | 0000:00:1B.0 Off | 0 | | N/A 79C P0 84W / 149W | 1734MiB / 11439MiB | 9% Default | +-------------------------------+----------------------+----------------------+ | 5 Tesla K80 On | 0000:00:1C.0 Off | 0 | | N/A 64C P0 107W / 149W | 1734MiB / 11439MiB | 36% Default | +-------------------------------+----------------------+----------------------+ | 6 Tesla K80 On | 0000:00:1D.0 Off | 0 | | N/A 78C P0 144W / 149W | 1734MiB / 11439MiB | 100% Default | +-------------------------------+----------------------+----------------------+ | 7 Tesla K80 On | 0000:00:1E.0 Off | 0 | | N/A 66C P0 153W / 149W | 1734MiB / 11439MiB | 100% Default | +-------------------------------+----------------------+----------------------+ +-----------------------------------------------------------------------------+ | Processes: GPU Memory | | GPU PID Type Process name Usage | |=============================================================================| | 0 62887 C ./oclvanitygen 1730MiB | | 1 62887 C ./oclvanitygen 1730MiB | | 2 62887 C ./oclvanitygen 1730MiB | | 3 62887 C ./oclvanitygen 1730MiB | | 4 62887 C ./oclvanitygen 1730MiB | | 5 62887 C ./oclvanitygen 1730MiB | | 6 62887 C ./oclvanitygen 1730MiB | | 7 62887 C ./oclvanitygen 1730MiB | +-----------------------------------------------------------------------------+
after few seconds nvidia-smi Sun Aug 27 17:45:23 2017 +-----------------------------------------------------------------------------+ | NVIDIA-SMI 375.66 Driver Version: 375.66 | |-------------------------------+----------------------+----------------------+ | 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 K80 On | 0000:00:17.0 Off | 0 | | N/A 79C P0 83W / 149W | 1734MiB / 11439MiB | 0% Default | +-------------------------------+----------------------+----------------------+ | 1 Tesla K80 On | 0000:00:18.0 Off | 0 | | N/A 64C P0 152W / 149W | 1734MiB / 11439MiB | 100% Default | +-------------------------------+----------------------+----------------------+ | 2 Tesla K80 On | 0000:00:19.0 Off | 0 | | N/A 82C P0 127W / 149W | 1734MiB / 11439MiB | 63% Default | +-------------------------------+----------------------+----------------------+ | 3 Tesla K80 On | 0000:00:1A.0 Off | 0 | | N/A 68C P0 150W / 149W | 1734MiB / 11439MiB | 100% Default | +-------------------------------+----------------------+----------------------+ | 4 Tesla K80 On | 0000:00:1B.0 Off | 0 | | N/A 80C P0 145W / 149W | 1734MiB / 11439MiB | 100% Default | +-------------------------------+----------------------+----------------------+ | 5 Tesla K80 On | 0000:00:1C.0 Off | 0 | | N/A 64C P0 148W / 149W | 1734MiB / 11439MiB | 100% Default | +-------------------------------+----------------------+----------------------+ | 6 Tesla K80 On | 0000:00:1D.0 Off | 0 | | N/A 78C P0 136W / 149W | 1734MiB / 11439MiB | 100% Default | +-------------------------------+----------------------+----------------------+ | 7 Tesla K80 On | 0000:00:1E.0 Off | 0 | | N/A 66C P0 144W / 149W | 1734MiB / 11439MiB | 100% Default | +-------------------------------+----------------------+----------------------+ +-----------------------------------------------------------------------------+ | Processes: GPU Memory | | GPU PID Type Process name Usage | |=============================================================================| | 0 62887 C ./oclvanitygen 1730MiB | | 1 62887 C ./oclvanitygen 1730MiB | | 2 62887 C ./oclvanitygen 1730MiB | | 3 62887 C ./oclvanitygen 1730MiB | | 4 62887 C ./oclvanitygen 1730MiB | | 5 62887 C ./oclvanitygen 1730MiB | | 6 62887 C ./oclvanitygen 1730MiB | | 7 62887 C ./oclvanitygen 1730MiB | +-----------------------------------------------------------------------------+
32 vcpu 480Gb memory. top - 17:49:36 up 10 days, 2:51, 3 users, load average: 10.79, 10.58, 10.40 Tasks: 362 total, 1 running, 361 sleeping, 0 stopped, 0 zombie %Cpu0 : 20.2/43.6 64[|||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||| ] %Cpu1 : 32.1/37.9 70[|||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||| ] %Cpu2 : 22.2/15.2 37[||||||||||||||||||||||||||||||||||||| ] %Cpu3 : 34.4/30.9 65[||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||| ] %Cpu4 : 39.2/38.0 77[||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||| ] %Cpu5 : 22.2/19.9 42[|||||||||||||||||||||||||||||||||||||||||| ] %Cpu6 : 21.9/25.1 47[||||||||||||||||||||||||||||||||||||||||||||||| ] %Cpu7 : 4.4/11.2 16[||||||||||||||| ] %Cpu8 : 3.2/10.6 14[|||||||||||||| ] %Cpu9 : 0.0/0.6 1[| ] %Cpu10 : 0.0/1.5 1[| ] %Cpu11 : 3.8/6.7 10[||||||||||| ] %Cpu12 : 0.0/0.6 1[| ] %Cpu13 : 19.1/16.2 35[||||||||||||||||||||||||||||||||||| ] %Cpu14 : 0.0/0.0 0[ ] %Cpu15 : 20.1/51.9 72[|||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||| ] %Cpu16 : 22.8/18.7 42[|||||||||||||||||||||||||||||||||||||||||| ] %Cpu17 : 0.0/0.0 0[ ] %Cpu18 : 43.0/30.1 73[||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||| ] %Cpu19 : 0.0/0.3 0[ ] %Cpu20 : 0.0/0.0 0[ ] %Cpu21 : 0.0/0.0 0[ ] %Cpu22 : 0.0/0.0 0[ ] %Cpu23 : 38.9/34.8 74[|||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||| ] %Cpu24 : 0.0/0.0 0[ ] %Cpu25 : 39.7/36.4 76[|||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||| ] %Cpu26 : 36.3/34.2 70[|||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||| ] %Cpu27 : 35.2/38.4 74[||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||| ] %Cpu28 : 17.9/15.8 34[|||||||||||||||||||||||||||||||||| ] %Cpu29 : 0.3/0.6 1[| ] %Cpu30 : 18.2/15.0 33[||||||||||||||||||||||||||||||||| ] %Cpu31 : 0.0/0.0 0[ ] GiB Mem : 0.9/480.280 [ ] GiB Swap: 0.0/0.000 [ ]
PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 62887 ubuntu 20 0 0.572t 738.8m 588.7m S 1005 0.2 786:33.28 oclvanitygen 1465 root 20 0 1367.2m 35.6m 13.5m S 0.0 0.0 0:44.21 snapd 610 root 20 0 50.4m 23.4m 23.1m S 0.0 0.0 0:03.26 systemd-journal
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mrxtraf
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August 27, 2017, 07:24:31 PM |
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Already treads is blocked at one card. ./oclvanitygen -D 0:0 -D 0:1 -D 0:2 -D 0:3 -D 0:4 -D 0:5 -D 0:6 -D 0:7 -k -o file_out.txt -P XXXX...XXXXXX -f paterns.txt ./oclvanitygen: /usr/local/cuda-8.0/targets/x86_64-linux/lib/libOpenCL.so.1: no version information available (required by ./oclvanitygen) Next match difficulty: 477568023166 (7 prefixes) [242.24 Mkey/s][total 8492417024][Prob 1.8%][50% in 22.2min] {MYENTER} [236.46 Mkey/s][total 90308608000][Prob 17.2%][50% in 17.0min] {MYENTER} [229.26 Mkey/s][total 641593245696][Prob 73.9%][75% in 1.5min] {MYENTER} [228.39 Mkey/s][total 731302068224][Prob 78.4%][80% in 2.7min] {MYENTER} [235.72 Mkey/s][total 1015273226240][Prob 88.1%][90% in 6.0min] {MYENTER} Pattern: 1XxxXx Address: 1Xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx PrivkeyPart: XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX Pattern: 1XxxXxx Address: 1Xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx PrivkeyPart: XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX Pattern: 1XxxXx Address: 1Xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx PrivkeyPart: XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX [233.84 Mkey/s][total 2077970399232][Prob 22.1%][50% in 15.1min][Found 3] {MYENTER} {MYENTER} {MYENTER}
~/vol/files$ nvidia-smi Sun Aug 27 19:14:11 2017 +-----------------------------------------------------------------------------+ | NVIDIA-SMI 375.66 Driver Version: 375.66 | |-------------------------------+----------------------+----------------------+ | 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 K80 On | 0000:00:17.0 Off | 0 | | N/A 70C P0 79W / 149W | 1734MiB / 11439MiB | 0% Default | +-------------------------------+----------------------+----------------------+ | 1 Tesla K80 On | 0000:00:18.0 Off | 0 | | N/A 55C P0 84W / 149W | 1734MiB / 11439MiB | 0% Default | +-------------------------------+----------------------+----------------------+ | 2 Tesla K80 On | 0000:00:19.0 Off | 0 | | N/A 77C P0 84W / 149W | 1734MiB / 11439MiB | 0% Default | +-------------------------------+----------------------+----------------------+ | 3 Tesla K80 On | 0000:00:1A.0 Off | 0 | | N/A 61C P0 87W / 149W | 1734MiB / 11439MiB | 0% Default | +-------------------------------+----------------------+----------------------+ | 4 Tesla K80 On | 0000:00:1B.0 Off | 0 | | N/A 75C P0 82W / 149W | 1734MiB / 11439MiB | 0% Default | +-------------------------------+----------------------+----------------------+ | 5 Tesla K80 On | 0000:00:1C.0 Off | 0 | | N/A 60C P0 95W / 149W | 1734MiB / 11439MiB | 100% Default | +-------------------------------+----------------------+----------------------+ | 6 Tesla K80 On | 0000:00:1D.0 Off | 0 | | N/A 69C P0 74W / 149W | 1734MiB / 11439MiB | 0% Default | +-------------------------------+----------------------+----------------------+ | 7 Tesla K80 On | 0000:00:1E.0 Off | 0 | | N/A 58C P0 85W / 149W | 1734MiB / 11439MiB | 0% Default | +-------------------------------+----------------------+----------------------+ +-----------------------------------------------------------------------------+ | Processes: GPU Memory | | GPU PID Type Process name Usage | |=============================================================================| | 0 62887 C ./oclvanitygen 1730MiB | | 1 62887 C ./oclvanitygen 1730MiB | | 2 62887 C ./oclvanitygen 1730MiB | | 3 62887 C ./oclvanitygen 1730MiB | | 4 62887 C ./oclvanitygen 1730MiB | | 5 62887 C ./oclvanitygen 1730MiB | | 6 62887 C ./oclvanitygen 1730MiB | | 7 62887 C ./oclvanitygen 1730MiB | +-----------------------------------------------------------------------------+
top - 19:22:55 up 10 days, 4:24, 3 users, load average: 1.00, 1.61, 4.74 Tasks: 361 total, 1 running, 360 sleeping, 0 stopped, 0 zombie %Cpu0 : 0.0/0.0 0[ ] %Cpu1 : 0.0/0.0 0[ ] %Cpu2 : 0.0/0.0 0[ ] %Cpu3 : 0.0/0.0 0[ ] %Cpu4 : 0.0/0.0 0[ ] %Cpu5 : 0.0/0.0 0[ ] %Cpu6 : 0.0/0.0 0[ ] %Cpu7 : 0.0/0.0 0[ ] %Cpu8 : 0.0/0.0 0[ ] %Cpu9 : 0.0/0.0 0[ ] %Cpu10 : 0.0/0.0 0[ ] %Cpu11 : 0.0/0.0 0[ ] %Cpu12 : 0.0/0.0 0[ ] %Cpu13 : 0.0/0.0 0[ ] %Cpu14 : 0.2/0.0 0[ ] %Cpu15 : 0.0/0.0 0[ ] %Cpu16 : 0.0/0.0 0[ ] %Cpu17 : 0.0/0.0 0[ ] %Cpu18 : 0.0/0.0 0[ ] %Cpu19 : 79.8/20.2 100[||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||] %Cpu20 : 0.0/0.0 0[ ] %Cpu21 : 0.0/0.0 0[ ] %Cpu22 : 0.0/0.0 0[ ] %Cpu23 : 0.0/0.0 0[ ] %Cpu24 : 0.0/0.0 0[ ] %Cpu25 : 0.0/0.0 0[ ] %Cpu26 : 0.0/0.0 0[ ] %Cpu27 : 0.0/0.0 0[ ] %Cpu28 : 0.0/0.0 0[ ] %Cpu29 : 0.0/0.0 0[ ] %Cpu30 : 0.0/0.0 0[ ] %Cpu31 : 0.0/0.0 0[ ] GiB Mem : 0.9/480.280 [ ] GiB Swap: 0.0/0.000 [ ]
PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 62887 ubuntu 20 0 0.572t 738.8m 588.7m S 100.0 0.2 1577:53 oclvanitygen 1465 root 20 0 1367.2m 35.5m 13.5m S 0.0 0.0 0:44.49 snapd 610 root 20 0 50.4m 23.7m 23.3m S 0.0 0.0 0:03.31 systemd-journal How this fix? [quote author=mrxtraf link=topic=25804.msg20978350#msg20978350 date=1503040763] Goes (cycling) on one of the video cards. Nvidia tesla M2050, M2075, M2090, GRID K520.
system kubuntu desctop 16.04. other computer ubuntu server 16.04 run vanitygen$ ./oclvanitygen -D 0:0 -D 0:1 -o ../files/founds/vanity_3.txt -k -f ../files/vanity.txt Next match difficulty: 108786463956186 (40 prefixes) No protocol specified [32.98 Mkey/s][total 97272201216][Prob 0.1%][50% in 26.4d]
After several hours of work. Maybe an hour, maybe a day. The output of the current state stops. [32.98 Mkey/s][total 97272201216][Prob 0.1%][50% in 26.4d]
But in the processes the task continues to be executed. It takes up part of the CPU time. And the calculation continues only on one of the cards. I tried to wait about a day, but nothing has changed. After "^ C" it will stop after 20-30 seconds.
Run on other computer $ ./oclvanitygen -D 0:0 -D 0:1 -D 0:2 -D 0:3 -o ../../files/vanity/found_vanity.txt -k -f ../../files/vanity/vanity.txt ./oclvanitygen: /usr/local/cuda-8.0/targets/x86_64-linux/lib/libOpenCL.so.1: no version information available (required by ./oclvanitygen) Next match difficulty: 108786463956186 (40 prefixes) [77.83 Mkey/s][total 225586446336][Prob 0.2%][50% in 11.2d] {MYENTER} [77.28 Mkey/s][total 305563435008][Prob 0.3%][50% in 11.2d] {MYENTER} [77.69 Mkey/s][total 411108900864][Prob 0.4%][50% in 11.2d] {MYENTER} [74.88 Mkey/s][total 728701599744][Prob 0.7%][50% in 11.5d] {MYENTER} [76.96 Mkey/s][total 780316704768][Prob 0.7%][50% in 11.2d] {MYENTER} [79.60 Mkey/s][total 785828020224][Prob 0.7%][50% in 10.9d] {MYENTER} {MYENTER} {MYENTER} {MYENTER}^C
One vidoecard is occupied by calculations for 100 percent, the other 0 percent. In this case, the memory is busy on all selected. ` nvidia-smi Mon Aug 14 08:50:24 2017 +-----------------------------------------------------------------------------+ | NVIDIA-SMI 375.82 Driver Version: 375.82 | |-------------------------------+----------------------+----------------------+ | 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 M2075 Off | 0000:01:00.0 Off | 0 | | N/A N/A P0 78W / N/A | 1854MiB / 5301MiB | 0% Default | +-------------------------------+----------------------+----------------------+ | 1 Tesla M2090 Off | 0000:02:00.0 Off | 0 | | N/A N/A P0 83W / N/A | 1080MiB / 5301MiB | 100% Default | +-------------------------------+----------------------+----------------------+ | 2 Tesla M2050 Off | 0000:03:00.0 Off | 0 | | N/A N/A P12 N/A / N/A | 0MiB / 2622MiB | 0% Default | +-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+ | Processes: GPU Memory | | GPU PID Type Process name Usage | |=============================================================================| | 0 19499 C ./oclvanitygen 1842MiB | | 1 19499 C ./oclvanitygen 1080MiB | +-----------------------------------------------------------------------------+
vanitygen$ ldd oclvanitygen linux-vdso.so.1 => (0x00007ffc5b3e2000) libpcre.so.3 => /lib/x86_64-linux-gnu/libpcre.so.3 (0x00007f4be2573000) libcrypto.so.1.0.0 => /lib/x86_64-linux-gnu/libcrypto.so.1.0.0 (0x00007f4be212f000) libm.so.6 => /lib/x86_64-linux-gnu/libm.so.6 (0x00007f4be1e26000) libpthread.so.0 => /lib/x86_64-linux-gnu/libpthread.so.0 (0x00007f4be1c09000) libOpenCL.so.1 => /opt/amdgpu-pro/lib/x86_64-linux-gnu/libOpenCL.so.1 (0x00007f4be1a02000) libc.so.6 => /lib/x86_64-linux-gnu/libc.so.6 (0x00007f4be1638000) libdl.so.2 => /lib/x86_64-linux-gnu/libdl.so.2 (0x00007f4be1434000) /lib64/ld-linux-x86-64.so.2 (0x00007f4be27e3000) librt.so.1 => /lib/x86_64-linux-gnu/librt.so.1 (0x00007f4be122c000) `
Computer #2 ` nvidia-smi Mon Aug 14 05:08:26 2017 +-----------------------------------------------------------------------------+ | NVIDIA-SMI 375.66 Driver Version: 375.66 | |-------------------------------+----------------------+----------------------+ | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | |===============================+======================+======================| | 0 GRID K520 Off | 0000:00:03.0 Off | N/A | | N/A 36C P8 18W / 125W | 1067MiB / 4036MiB | 0% Default | +-------------------------------+----------------------+----------------------+ | 1 GRID K520 Off | 0000:00:04.0 Off | N/A | | N/A 36C P8 17W / 125W | 1067MiB / 4036MiB | 0% Default | +-------------------------------+----------------------+----------------------+ | 2 GRID K520 Off | 0000:00:05.0 Off | N/A | | N/A 54C P0 49W / 125W | 1067MiB / 4036MiB | 100% Default | +-------------------------------+----------------------+----------------------+ | 3 GRID K520 Off | 0000:00:06.0 Off | N/A | | N/A 32C P8 17W / 125W | 1067MiB / 4036MiB | 0% Default | +-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+ | Processes: GPU Memory | | GPU PID Type Process name Usage | |=============================================================================| | 0 2733 C ./oclvanitygen 1065MiB | | 1 2733 C ./oclvanitygen 1065MiB | | 2 2733 C ./oclvanitygen 1065MiB | | 3 2733 C ./oclvanitygen 1065MiB | +-----------------------------------------------------------------------------+
$ ldd oclvanitygen ./oclvanitygen: /usr/local/cuda-8.0/targets/x86_64-linux/lib/libOpenCL.so.1: no version information available (required by ./oclvanitygen) linux-vdso.so.1 => (0x00007fffdeb47000) libpcre.so.3 => /lib/x86_64-linux-gnu/libpcre.so.3 (0x00007fcb5fa53000) libcrypto.so.1.0.0 => /lib/x86_64-linux-gnu/libcrypto.so.1.0.0 (0x00007fcb5f60f000) libm.so.6 => /lib/x86_64-linux-gnu/libm.so.6 (0x00007fcb5f305000) libpthread.so.0 => /lib/x86_64-linux-gnu/libpthread.so.0 (0x00007fcb5f0e8000) libOpenCL.so.1 => /usr/local/cuda-8.0/targets/x86_64-linux/lib/libOpenCL.so.1 (0x00007fcb5eee2000) libc.so.6 => /lib/x86_64-linux-gnu/libc.so.6 (0x00007fcb5eb17000) libdl.so.2 => /lib/x86_64-linux-gnu/libdl.so.2 (0x00007fcb5e913000) /lib64/ld-linux-x86-64.so.2 (0x000055683af0e000) librt.so.1 => /lib/x86_64-linux-gnu/librt.so.1 (0x00007fcb5e70b000)
In vanaitygen-pluse also present this bug.
How get dump on worked programm on ubuntu konsole? [/quote]
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Chris!
Legendary
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Activity: 1382
Merit: 1123
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August 29, 2017, 02:49:20 AM |
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I have always wanted to do a vanitygen for my cold storage, but I am too paranoid the program would have some sort of built in preset way to make an address the creator also has keys for. How am I supposed to know for sure? I just wish I could trust do it trust-less.
If you're totally paranoid: use split-key: InstructionsI can just create an address, and send you the private key. This means you have to trust me, my computer, my cat, both our email clients, and by definition it can no longer be used for cold storage. So let's not. Instead, use split key: Step 1: Goto https://www.bitaddress.org/ move your mouse/type in the field until it shows 100% and wait a second. Step 1.5: Optional but highly recommended. Download the page, verify the download and run it locally *. Step 2: Click Vanity Wallet click the Generate button next to Generate your "Step1 Key Pair"Step 3: Reply to this thread with your public key and the prefix for your address. Save the private key somewhere safe. You will need it later when I generated your partial private key. Also, let me know if your preferred prefix is case sensitive, or any case is okay (the latter is much faster) Step 4: Once you received your partial private key, go back to bitaddress.org and click on Vanity Wallet. Step 5: Go to step 2 Calculate your vanity wallet. In the first field put the private key you saved and in the second field put the partial private key I gave you. Click Add and Calculate Vanity WalletStep 6: Copy the Vanity Private Key (WIF) and import it into your preferred wallet. Credits to shorena for most of these instructions! If something doesn't work as expected, have a look at this example. In Step 3, you run vanitygen by yourself, and use your own publick key. You can also use split key if you don't trust the computer that you use to run Vanitygen. That's exactly what I do. I just use my normal computer but boot up a Linux Live USB to generate the one 'half' of the private key. Works perfectly! Although you can only do one at a time as OgNasty has pointed out in the past. For personal use it's not a huge deal though. What is so special about split-key? Even that might still have some sort of malicious code.
I'm going to really dumb it down to the point that it isn't very accurate. If your partial private key is 0.....0001 and the next partial is X (your public key), what is X's private key? Who knows! Only you do! That's why it is a great secure option.
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digicoinuser
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Activity: 2856
Merit: 1072
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August 29, 2017, 03:41:56 AM Last edit: August 29, 2017, 02:14:28 PM by digicoinuser |
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Guys, I use vanitygen plus with 1080ti and after several hours of work I get an error: CODE
Any ideas? Please help!
What model GeForce GTX 1080 Ti are you using and if you kill/restart vanitygen does it start working again properly? Asus 1080 ti rog strix oc. Yes, it does start working again with no problem, but after several hours this error repeats. Interesting, I have the same card with that issue. I wrote an auto-restart script to keep it to an extremely minimal amount of downtime, send me a PM if you'd like to try it out.
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addrstore.com
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Activity: 45
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August 29, 2017, 06:19:00 AM |
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Hi guys.
There was such idea: if you want absolutely safe to generate the vanity address (outsource) it is necessary to use partial key. This is too expensive, you need to use all the processing power to generate one vanity address. My idea: use third-party services that will generate a private and public key (something like a certification authority center as GeoTrust, Comodo etc.). The public key will be used to generate a large number of vanity addresses, so they can be made much cheaper. In this case, the full private key can only be obtained using the private key of a third-party service.
Can it work?
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vanad
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August 29, 2017, 03:08:26 PM |
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I wonder why a CUDA version of OCL vanitygen never got made? Surely, it would better on NVIDIA cards.
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Wurx
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August 31, 2017, 07:50:55 AM |
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I wonder why a CUDA version of OCL vanitygen never got made? Surely, it would better on NVIDIA cards.
Strange. I have oclvanitygen.exe and it's working great with my integrated Nvidia GPU on the laptop. Already had some fun with the proggie...
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addrstore.com
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Activity: 45
Merit: 0
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September 01, 2017, 06:28:34 AM |
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I wonder why a CUDA version of OCL vanitygen never got made? Surely, it would better on NVIDIA cards.
Strange. I have oclvanitygen.exe and it's working great with my integrated Nvidia GPU on the laptop. Already had some fun with the proggie... The work of "A Performance Comparison of CUDA and OpenCL" says that the performance of the OpenCL core loses CUDA from 13% to 63%. So, if you rewrite the utility Vanitygen on CUDA, you can significantly increase the speed of searching for vanity addresses.
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luv2drnkbr
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September 03, 2017, 10:54:57 PM |
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Is there a way to get this to find Segwit P2SH (P2WPKH program inside P2SH) addresses?
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Zammo
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September 05, 2017, 12:03:00 AM |
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It would be great if this app could be updated to generate SegWit addresses
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