Autolykos-GPU-miner | CUDA-based GPU miner for Ergo | GPU library

by ergoplatform C Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | Autolykos-GPU-miner Summary

Autolykos-GPU-miner is a C library typically used in Hardware, GPU, Pytorch applications. Autolykos-GPU-miner has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

CUDA-based GPU miner for Ergo (Autolykos algorithm)

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Quality

Security

License

Reuse

Support

Autolykos-GPU-miner has a low active ecosystem.

It has 23 star(s) with 15 fork(s). There are 12 watchers for this library.

It had no major release in the last 6 months.

There are 12 open issues and 22 have been closed. On average issues are closed in 41 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of Autolykos-GPU-miner is current.

Quality

Autolykos-GPU-miner has 0 bugs and 0 code smells.

Security

Autolykos-GPU-miner has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

Autolykos-GPU-miner code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Autolykos-GPU-miner does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

Autolykos-GPU-miner releases are not available. You will need to build from source code and install.

Installation instructions, examples and code snippets are available.

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Autolykos-GPU-miner Key Features

No Key Features are available at this moment for Autolykos-GPU-miner.

Autolykos-GPU-miner Examples and Code Snippets

No Code Snippets are available at this moment for Autolykos-GPU-miner.

Community Discussions

Trending Discussions on Autolykos-GPU-miner

Autolykos GPU Miner software no longer recognizing NVIDIA GPU on Ubuntu 18.04

QUESTION

Autolykos GPU Miner software no longer recognizing NVIDIA GPU on Ubuntu 18.04

Asked 2019-Oct-10 at 14:07

A month or so ago, Autolykos miner (https://github.com/ergoplatform/Autolykos-GPU-miner) compiled and ran. Now suddenly it doesn't work because the .cu files don't recognize any installed NVIDIA GPU. I made NO changes to the Autolykos code--it just stopped working. I merely dropped into the source folder (as described by the README) and typed make. But when I install and make all of the CUDA examples, THOSE run just fine. Running on UBUNTU 18.04 with a GeForce TITAN X. For example, the utility "deviceQuery" returns the following:

...

ANSWER

Answered 2019-Oct-09 at 21:39

SOLVED: After re-compiling the CUDA code from NVIDIA, the miner is working. I suspect that a system update broke something

Source https://stackoverflow.com/questions/58245134

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install Autolykos-GPU-miner

If make completed successfully there will appear an executable autolykos/secp256k1/auto.out and (if not already present) a config file autolykos/secp256k1/config.json with stub contents.
Change directory to autolykos/secp256k1
Run make
Install compatible pair of MS Visual Studio C++ toolchain and CUDA toolkit compatibility table for latest CUDA toolkit
Build libcurl from sources with Visual Studio toolchain instruction
Download OpenSSL 1.0.2 installer from slproweb.com
Edit secp256k1/buildwin.cmd file, change OPENSSL_DIR, LIBCURL_DIR to your libcurl and OpenSSL directories, change CUDA_COMPUTE_ARCH to GPU code architecture you want
Find vcvars64.bat script, it should be in VISUAL_STUDIO_INSTALL_DIRECTORY\VC\Auxiliary\Build
Run cmd.exe, run vcvars64.bat script, then change dir to secp256k1, then run buildwin.cmd
If everything went good, miner.exe should appear in secp256k1 directory
If miner.exe can't find nvml.dll, add C:\Program Files\NVIDIA Corporation\NVSMI to your PATH environment variable before running.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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