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johguse / profanity

Vanity address generator for Ethereum
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tasks and generated addresses mismatch #59

Open herenickname opened 2 years ago

herenickname commented 2 years ago

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 commented 2 years ago

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