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tasks and generated addresses mismatch #59

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herenickname opened this issue Dec 29, 2021 · 1 comment
Open

tasks and generated addresses mismatch #59

herenickname opened this issue Dec 29, 2021 · 1 comment

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@herenickname
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root@vanity-v3:/home/ubuntu/profanity# ./profanity.x64 --mirror
Mode: mirror
Target: Address
Devices:
GPU0: NVIDIA GeForce RTX 3090, 25447170048 bytes available, 82 compute units (precompiled = yes)
GPU1: NVIDIA GeForce RTX 3090, 25447170048 bytes available, 82 compute units (precompiled = yes)
GPU2: NVIDIA GeForce RTX 3090, 25447170048 bytes available, 82 compute units (precompiled = yes)
GPU3: NVIDIA GeForce RTX 3090, 25447170048 bytes available, 82 compute units (precompiled = yes)

Initializing OpenCL...
Creating context...OK
Loading kernel from binary...OK
Building program...OK

Initializing devices...
This should take less than a minute. The number of objects initialized on each
device is equal to inverse-size * inverse-multiple. To lower
initialization time (and memory footprint) I suggest lowering the
inverse-multiple first. You can do this via the -I switch. Do note that
this might negatively impact your performance.

GPU2 initialized
GPU1 initialized
GPU0 initialized
GPU3 initialized

Initialization time: 1 seconds
Running...
Always verify that a private key generated by this program corresponds to the
public key printed by importing it to a wallet of your choice. This program
like any software might contain bugs and it does by design cut corners to
improve overall performance.

Time: 1s Score: 5 Private: 0x63352c83768d3ae0c504b3de6492c918f673b90d4c295d7013176b9310a87d43 Address: 0x131803eb92088afff9b44b9ffa2c90147d48a9ea
Time: 1s Score: 6 Private: 0xa0bf184912ff4894af252b7817a136db853ac2d7c9654b6db45fb497e8727b18 Address: 0xd3d64f69d32b70a94c4aa4c49a7c9360e904d929
Time: 2s Score: 7 Private: 0x80fe37f9c1ff4f75825565e5bed29a6c698236c83ba7b961dc97796495173216 Address: 0x4910bb791656d3fac2fbbf2caf3795699d1a657e
Time: 2s Score: 8 Private: 0x80fe37f9c1df6ef0825565e5bed29a6c698236c83ba7b961dc97796495173273 Address: 0xa183e9040d0d76826299992628670fac51c17efc
Total: 2.380 GH/s - GPU0: 593.115 MH/s GPU1: 596.846 MH/s GPU2: 593.115 MH/s GPU3: 596.846 MH/s

@herenickname
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root@vanity-v3:/home/ubuntu/profanity# ./profanity.x64 --numbers
Mode: numbers
Target: Address
Devices:
GPU0: NVIDIA GeForce RTX 3090, 25447170048 bytes available, 82 compute units (precompiled = yes)
GPU1: NVIDIA GeForce RTX 3090, 25447170048 bytes available, 82 compute units (precompiled = yes)
GPU2: NVIDIA GeForce RTX 3090, 25447170048 bytes available, 82 compute units (precompiled = yes)
GPU3: NVIDIA GeForce RTX 3090, 25447170048 bytes available, 82 compute units (precompiled = yes)

Initializing OpenCL...
Creating context...OK
Loading kernel from binary...OK
Building program...OK

Initializing devices...
This should take less than a minute. The number of objects initialized on each
device is equal to inverse-size * inverse-multiple. To lower
initialization time (and memory footprint) I suggest lowering the
inverse-multiple first. You can do this via the -I switch. Do note that
this might negatively impact your performance.

GPU3 initialized
GPU1 initialized
GPU0 initialized
GPU2 initialized

Initialization time: 1 seconds
Running...
Always verify that a private key generated by this program corresponds to the
public key printed by importing it to a wallet of your choice. This program
like any software might contain bugs and it does by design cut corners to
improve overall performance.

Time: 1s Score: 38 Private: 0x09c6c360a33850ec825fca1e402b4ad3f1fe789b09b5310bc08f36c5ecf88bd6 Address: 0x95735339e8645942519416211739188750192d67
Total: 2.251 GH/s - GPU0: 596.846 MH/s GPU1: 464.213 MH/s GPU2: 593.115 MH/s GPU3: 596.846 MH/s

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