Category: AWS ParallelCluster

The Synopsys.ai electronic design automation (EDA) suite on AWS harnesses AI to optimize chip design. A key component is Synopsys DSO.ai, using reinforcement learning to enhance power, performance, and area. Benefits include faster optimization, better engineer productivity, design reuse, and faster process node migration. Deploying on AWS ParallelCluster provides auto-scaling, elasticity, and fast setup for massive EDA workloads. Testing showed 20% lower power, timing closure improvements, and significant cost savings.

Modern scientific research depends heavily on processing large-scale datasets which requires elastic, scalable, easy-to-use, and cost-effective computing resources. Research Gateway from Relevance Lab simplifies access to HPC clusters using a self-service portal, making provisioning and configuration of an elastic cluster easy for researchers. This helps them focus on the research itself, while leveraging AWS ParallelCluster for their scientific computing.