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This repository has been archived by the owner on Sep 15, 2022. It is now read-only.
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.
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.
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.
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.
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
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