基于区块链的毕业设计ethminer – 埃塞俄比亚矿工

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ethminer

This container is a CUDA enabled build of ethereum-mining/ethminer. It tracks the head of the master branch at build time. I used the guidance provided in the build.md of the repository to put this image together.

Tip Jar

If you’re using this container image, tips in eth are appreciated! ethminer - 埃塞俄比亚矿工 0xAe26Cd1573745236807E67cE3be34Ca4226f4cF3

ethminer - 埃塞俄比亚矿工

Overview

To minimize the complexity of pulling in the required dependencies and minimizing the size of the image, I use the nvidia/cuda devel image to build the ethminer binary. In the second stage, I copy the build artifacts to a new image dependent on nvidia/cuda runtime.

The entrypoint for the final image is /opt/ethminer/ethminer.

This provides the ability to pass arguments at container execution time. For example:

$ docker run --gpus all -it kriation/ethminer:latest --list-devices   ethminer 0.19.0+commit.47ae149e Build: linux/release/gnu   Id Pci Id    Type Name                          CUDA SM   Total Memory  --- --------- ---- ----------------------------- ---- ---  ------------    0 01:00.0   Gpu  GeForce GTX 1660 SUPER        Yes  7.5       1.52 GB 

The prerequisite to using this image is that the NVIDIA container toolkit is configured properly on the container host. The documentation from NVIDIA on setting the toolkit up is straightforward.

Build

For those interested in building a custom image that isn’t available in Docker Hub, you can pass a build argument of CUDA_VERSION set to any of the tags listed in the CUDA Supported Tags documentation.

An example is below:

$ docker build --build-arg CUDA_VERSION=10.0 -t kriation/ethminer:10.0 . 

The resulting image will be based off of the CUDA 10.0 base.

Reformat documentation


ethminer

此容器是支持CUDA的以太坊eth挖掘/ethminer构建。它在构建时跟踪主分支的负责人。我使用了生成.md以将此图像放在一起。

Tip Jar

如果您正在使用此容器图像,请使用eth中的提示!<ethminer>0xAE26267356266807E67 CE3BE4CA4226F4CF3

最终图像的入口点是/opt/ethminer/ethminer。

概述

这提供了在容器执行时传递参数的功能。例如:

使用此映像的前提条件是在容器主机上正确配置NVIDIA容器工具包。NVIDIA提供的关于设置工具箱的文档非常简单。

对于那些对构建Docker Hub中不可用的自定义映像感兴趣的人,可以将CUDAu版本的构建参数集传递给CUDA支持的标记文档中列出的任何标记。

$ docker run --gpus all -it kriation/ethminer:latest --list-devices   ethminer 0.19.0+commit.47ae149e Build: linux/release/gnu   Id Pci Id    Type Name                          CUDA SM   Total Memory  --- --------- ---- ----------------------------- ---- ---  ------------    0 01:00.0   Gpu  GeForce GTX 1660 SUPER        Yes  7.5       1.52 GB 

下面是一个示例:

构建

生成的图像将基于CUDA 10.0基础。

An example is below:

$ docker build --build-arg CUDA_VERSION=10.0 -t kriation/ethminer:10.0 . 

The resulting image will be based off of the CUDA 10.0 base.

Reformat documentation

部分转自网络,侵权联系删除区块链源码网

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https://www.interchains.cc/21205.html

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