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Multiple GPU Not worked !!! Bro, Help PLEEEEAAAASEEE ?? #8

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Comarro753 opened this issue Jul 15, 2020 · 4 comments
Open

Multiple GPU Not worked !!! Bro, Help PLEEEEAAAASEEE ?? #8

Comarro753 opened this issue Jul 15, 2020 · 4 comments

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@Comarro753
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`
C:\Users\Admin\Desktop\zaredo2>powershell Get-Date

15 июля 2020 г. 12:47:50

C:\Users\Admin\Desktop\zaredo2>VanitySearch-1.15.4_bitcrack_th256gr.exe -t 0 -gp
u -stop -g 136,256 -o result2.txt --keyspace B504F333F9DE6484:FFFFFFFFFFFFFFFF 1
***********xXz8933232ggg
VanitySearch v1.15.4, add BitCrack mode
Invalid gridSize or gpuId argument, must have same size
VanitySeacrh [-check] [-v] [-u] [-b] [-c] [-gpu] [-stop] [-i inputfile]
[-gpuId gpuId1[,gpuId2,...]] [-g gridSize1[,gridSize2,...]]
[-o outputfile] [-m maxFound] [-ps seed] [-s seed] [-t nbThread]
[-nosse] [-r rekey] [-check] [-kp] [-sp startPubKey]
[-rp privkey partialkeyfile] [prefix]

prefix: prefix to search (Can contains wildcard '?' or '')
-v: Print version
-u: Search uncompressed addresses
-b: Search both uncompressed or compressed addresses
-c: Case unsensitive search
-gpu: Enable gpu calculation
-stop: Stop when all prefixes are found
-i inputfile: Get list of prefixes to search from specified file
-o outputfile: Output results to the specified file
-gpu gpuId1,gpuId2,...: List of GPU(s) to use, default is 0
-g gridSize1,gridSize2,...: Specify GPU(s) kernel gridsize, default is 8
(MP nu
mber)
-m: Specify maximun number of prefixes found by each kernel call
-t threadNumber: Specify number of CPU thread, default is number of core
-nosse: Disable SSE hash function
-l: List cuda enabled devices
-check: Check CPU and GPU kernel vs CPU
-kp: Generate key pair
-rp privkey partialkeyfile: Reconstruct final private key(s) from partial key(s
) info.
-sp startPubKey: Start the search with a pubKey (for private key splitting)
-r rekey: Rekey interval in MegaKey, cpu=1000 gpu=100000

--keyspace START
START:END
START:+COUNT
:+COUNT
:END
Where START, END, COUNT are in hex format
--share M / N: Divide the keyspace into N equal shares, process the Mth share
--continue sessfile: Save / load progress from specified file
'

Buddy, how to fix this problem ?

@Telariust
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Telariust commented Jul 15, 2020

Need "gpuId" arg for more 1 gpu.
For x6 gpu:
-t 0 -gpu -gpuId 0,1,2,3,4,5
For x6 gpu with custom gridsize:
-t 0 -gpu -gpuId 0,1,2,3,4,5 -g 136,256,136,256,136,256,136,256,136,256,136,256

@Comarro753
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Comarro753 commented Jul 15, 2020

Need "gpuId" arg for more 1 gpu.
For x6 gpu:
-t 0 -gpu -gpuId 0,1,2,3,4,5
For x6 gpu with custom gridsize:
-t 0 -gpu -gpuId 0,1,2,3,4,5 -g 136,256,136,256,136,256,136,256,136,256,136,256

Bro, Thx for you reply. But With gpuId not worked too !!!

Please try, this exact not support multiple gpu Bro !!!! With castom gridsise, without castom gridsize - NOT worked !!!

???

For info - VanitySearch now support multiple GPU. I don know, in vanitysearch-bitcrck multyGPU from vanity or from Bitcrack

Big Txh.

@Telariust
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D:\>VanitySearch-1.15.4_bitcrack_th256gr.exe -t 0 -gpu -gpuId 0,1,2,3,4,5  -o result2.txt --keyspace B504F333F9DE6484:FFFFFFFFFFFFFFFF 1LqJ9cHPKxPXDRia4tteTJdLXnisnfHsof
VanitySearch v1.15.4, add BitCrack mode
[keyspace] start=000000000000000000000000000000000000000000000000B504F333F9DE6484
[keyspace]   end=000000000000000000000000000000000000000000000000FFFFFFFFFFFFFFFF
Difficulty: 1461501637330902918203684832716283019655932542976
Search: 1LqJ9cHPKxPXDRia4tteTJdLXnisnfHsof [Compressed]
Start at Thu Jul 16 04:49:56 2020
Number of CPU thread: 0
GPU: GPU #0 GeForce GTX 1070 (15x128 cores) Grid(120x256)
GPU: GPU #3 GeForce GTX 1070 (15x128 cores) Grid(120x256)
GPU: GPU #5 GeForce GTX 1070 (15x128 cores) Grid(120x256)
GPU: GPU #2 GeForce GTX 1070 (15x128 cores) Grid(120x256)
GPU: GPU #1 GeForce GTX 1070 (15x128 cores) Grid(120x256)
GPU: GPU #4 GeForce GTX 1070 (15x128 cores) Grid(120x256)
1589.889 MK/s (GPU 1589.889 MK/s) (2^35.25) [00:00:24 lost_TIME_left 107.76y][0]

i dont help without msg_errors or logs

@CasparNuel
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I may be able to help you, @Comarro753. Just tag me here and tell me what you've already tried on your machine. Your screen log shows you're using v1.15. Please update to 1.19 and try again.

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