AWS for Industries

Tag: Electronic design automation

Predict the cost of Electronic Design Automation on AWS using simulation

Introduction Designing semiconductor requires High Performance Computing (HPC) to run Electronic Design Automation (EDA) tools. These workloads vary over time in both the amount and type of compute resources required. This makes it an ideal workload for the elasticity of the cloud. Customers choose optimal instance types to optimize each tools runtime. This reduces time-to-results […]

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Simplifying microelectronics education labs with Ruby Cherry EDA on AWS

University faculty members and non-profit organizations looking to improve the training experience for the next generation of microelectronics engineers face multiple challenges with the computing environment required, both technical and organizational. In this blog we will review these challenges, and how to solve them using ready-made solutions on AWS and how these solutions can scale […]

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Building Elastic HPC Clusters for EDA with Altair on AWS

Introduction Chip design is not only compute and memory intensive, it also requires varying amounts of resource in different Integrated Circuit (IC) design phases: some frontend tools are single threaded and CPU bound, while backend tools rely on high performance storage and large memory. Fixed-size compute farms on-premises result in jobs waiting in queue for […]

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Scaling EDA Workloads using Scale-Out Computing on AWS

  Introduction Semiconductor and electronics companies using electronic design automation (EDA) applications can significantly accelerate their product development lifecycle and time to market by taking advantage of the near infinite compute, storage, and other resources available on AWS. In this workload enablement blog post, I provide architectural and system-level guidance to build out an environment […]

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