Skip to content
Samples and documentation for deploying EDA computing environments in AWS
Shell
Branch: master
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
.github
shared/images
workshops
.gitignore
CODE_OF_CONDUCT.md
CONTRIBUTING.md
LICENSE
README.md

README.md

AWS EDA Workshops

Samples and documentation for deploying EDA computing environments in AWS

Overview

These hands-on workshops are designed to demonstrate how the elasticity of the AWS Cloud can help you accelerate EDA design cycles and reduce time-to-market.

Workshops

  • EDA Workshop with IBM Spectrum LSF
    This workshop shows you how to deploy a fully functional compute cluster based on IBM Spectrum LSF. The environment includes all resources required to run an EDA verification workload on a sample design. Using standard LSF commands, you can quickly add compute capacity to satisfy verification workload demand.

  • EDA Workshop with AWS ParallelCluster This workshop shows you how to deploy an EDA computing cluster using AWS ParallelCluster. AWS ParallelCluster is an AWS supported Open Source cluster management tool that makes it easy for you to deploy and manage High Performance Computing (HPC) clusters in the AWS cloud.

  • EDA Workshop with AWS Batch This workshop demonstrates how to run EDA workloads using AWS Batch, a fully managed AWS workload and resource management service. In this workshop, you'll learn how to submit and mananage EDA workloads with AWS Batch.

  • EDA Workflows with AWS Step Functions] This workshop shows you how to build a cloud-native, visual EDA workflow using AWS Step Functions.

License Summary

This sample code is made available under the MIT-0 license. See the LICENSE file.

You can’t perform that action at this time.