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  • I ⁃ AWS HPC Overview
  • II ⁃ ParallelCluster UI
    • a. Deploy ParallelCluster UI
    • b. Connect to ParallelCluster UI
    • c. Summary
  • III ⁃ ParallelCluster using CLI (optional)
    • Prerequisites
    • a. Sign in to the Console
    • b. Create a Cloud9 Environment
    • c. Work with the AWS CLI
    • d. Create a Key Pair
    • e. Install AWS ParallelCluster
    • f. (Optional) Create config with 'pcluster configure'
    • g. Create a Cluster Config
    • h. Build an HPC Cluster
    • i. Log in to Your Cluster
    • j. Submit your first HPC job
    • Summary
  • IV ⁃ Create an HPC Cluster
    • a. Create a Cluster
    • b. Connect to the Cluster
    • c. Get to know your Cluster
    • f. Submit your first HPC job
    • g. Update your cluster
    • h. Terminate Your Cluster
  • V ⁃ Build a High-Performance File System
    • a. Create HPC Cluster
    • b. Create FSx Lustre
    • c. Create S3 Bucket
    • d. Link S3 to FSx Lustre
    • e. Examine the File System
    • f. About Lazy File Loading
    • g. Install IOR Benchmark Tool
    • h. View Metrics with CloudWatch
    • i. Test IO Performance
    • j. Summary and Cleanup
  • VI ⁃ Remote Visualization using NICE DCV
    • DCV Connect in ParallelCluster
      • a. Create a cluster configured with NICE DCV
      • a. Connect to your NICE DCV Session
    • DCV Queue in ParallelCluster
      • a. Create Security Group
      • b. Modify Cluster Configuration
      • c. Create DCV Session
      • d. No-Ingress DCV Session
    • DCV using web browser/native client
      • a. Deploy EC2 instance with NICE DCV
      • b. Connect to NICE DCV EC2 Instance
      • c. Connect to Remote Desktop Session
      • d. Terminate Your Instance
  • VII ⁃ Simulations with AWS Batch
    • a. Lab Environment
    • b. IAM Role Setup
    • c. Build A Container With Docker
    • d. Upload to Amazon ECR
    • e. Set up Compute Environment
    • f. Set up a Job Queue
    • g. Set up a Job Definition
    • h. Describe Your Environment
    • i. Run a Single Job
    • j. Run an Array Job
    • k. Job Dependencies
    • l. Next Steps & Clean up
    • m. Optimize Cost with EC2 Spot
    • n. Next Steps & Clean up
  • VIII ⁃ Elastic Fabric Adapter (EFA)
    • a. EFA Basics
    • b. Create an HPC Cluster with EFA
    • c. Examine an EFA enabled instance
    • d. Work With Intel MPI
    • e. Download, compile and run the OSU Benchmark
    • f. Delete Your EFA Cluster
  • IX ⁃ Distributed Machine Learning
    • a. Upload training data to S3
    • b. Create a distributed ML cluster
    • c. Run single node data preprocessing with Slurm
    • d. Run PyTorch Data Parallel training on ParallelCluster
    • e. Delete Distributed ML Cluster

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AWS HPC Workshops > Tags > metrics

metrics

  • h. View Metrics with CloudWatch