FoldingAtHome：＃COVID19的容器化Folding @ home客户端-源码

## Docker folding@home conatiner Debian stretch imagine with folding at home set to run as part of the containers team. You can override all settings by adding the flags to the end of the docker run command: ``` "--user=YOUR_NAME", "--team=TEAM_NUMBER", "--gpu=false", "--smp=true" ``` Currently COVID19 is taking prioroty so its a great cause that we all need right now. ## Running manually To run simply type: ``` docker run -d -p7396:7396 richarvey/foldingathome:latest ``` You can get to the webUI on [http://localhost:7396](http://localhost:7396) ## Deploying on ECS/Fargate Using CDK We've included CDK fiels to help you deploy on AWS in fargate, check out [https://docs.aws.amazon.com/cdk/latest/guide/getting_started.html](https://docs.aws.amazon.com/cdk/latest/guide/getting_started.html) to get setup. The `cdk.json` file tells the CDK Toolkit how to execute your app. Once installed run: ``` cd cdk npm install npm run build cdk deploy ``` ### Useful commands * `npm install -g aws-cdk` install the aws cdk * `npm install` install all required modules * `npm run build` compile typescript to js * `cdk diff` compare deployed stack with current state * `cdk synth` emits the synthesized CloudFormation template * `cdk deploy` deploy this stack to your default AWS account/region  ### Manually switching to SPOT (save some money) Get your account id: ``` aws sts get-caller-identity ``` Using the aws CLI and changing the ARN / region: ``` aws ecs put-cluster-capacity-providers --cluster arn:aws:ecs:eu-west-1:YOUR_ACCOUNT_ID:cluster/CdkfoldingStack-FoldingClusterYOUR_CLUSTER_UID --capacity-providers FARGATE FARGATE_SPOT --default-capacity-provider-strategy capacityProvider=FARGATE_SPOT,weight=100 --region eu-west-1 ``` ## Running on Kubernetes To run on kubernetes in AWS, GCP, Azure and other simply run the following: ``` cd k8s kubectl create namespace dev kubectl apply -f foldingathome-deployment.yaml ``` ## GPU Support on EKS You'll need [eksctl](https://eksctl.io) installed for the following instructions First of all build your EKS cluster with p2 instances ``` eksctl create cluster --node-type=p2.xlarge ``` Now enable the NVIDA drivers ``` kubectl apply -f https://raw.githubusercontent.com/NVIDIA/k8s-device-plugin/master/nvidia-device-plugin.yml ``` Now launch the deployment: ``` cd k8s kubectl create namespace dev kubectl apply -f foldingathome-GPU-deployment.yaml ```