Presentation
Increase throughput and productivity with Cadence tools in the cloud using flexible AWS compute choices
DescriptionWith the variety of EDA tools required to deliver a modern design, optimizing time to results for each workload can lead to better coverage and increased engineering productivity. However, some EDA workloads require faster CPUs, some require larger L3 cache, while others depend on the RAM/core ratio. Using AWS, customers can find the optimal compute options to run their Cadence tools. In this hands-on workshop we learn how to find the right compute option for your Cadence tool, and learn how R&D can optimize their design and verification processes by proactively choosing the type of HPC hosts used to run Cadence workloads in AWS. Each user will benchmark multiple compute types and learn how to calculate cost/performance trade-offs for their own workload.
Event Type
Hands-On Training Session
TimeTuesday, July 11th2:45pm - 5:45pm PDT
LocationLevel 2 Lobby
Cloud