On-premise systems have traditionally hosted EDA workloads because they required specific performance, memory, and software parameters. But now, with the scale and flexibility of the AWS Cloud for silicon design implementation and verification, customers can leverage the AWS cloud for their EDA workloads and quickly scale their physical verification jobs and reduce their time to results.
AWS introduced X2iezn instances to address multifaceted EDA workload requirements. AWS recognized that customers performing physical verification on advanced process node designs require higher clock speeds, as well as larger CPU and memory resources. Powered by 2nd generation Intel Xeon scalable processors, X2iezn instances use a frequency of up to 4.5 GHz, the highest in the cloud. They feature up to 1.5TB of memory and deliver up to twice the performance per vCPU than X2e instances. X2iezn instances offer 32GiB memory per vCPU, and enable up to 48 vCPUs and 1536 GiB RAM. X2iezn instances are built on the AWS Nitro System, delivering up to 100 Gbps of networking bandwidth and 19 Gbps of dedicated EBS bandwidth. X2iezn instances are ideal for workloads that require high performance per thread and a high memory. AWS worked with Synopsys, a leader in EDA, to scale Synopsys IC Validator™ physical verification solution on Amazon EC2 X2iezn instances.
In our blog post, “Driving High Performance and Efficient Physical Verification with Synopsys IC Validator on Amazon EC2 X2iezn Instances,” we describe the testing that Synopsys performed on X2iezn using IC Validator. Synopsys achieved a 15% performance improvement when executing DRC on X2iezn versus Amazon EC2 R5d instances. Not only did Synopsys see a performance improvement, using IC Validator’s unique Elastic CPU management technology the company was able to obtain a 32% resource savings, enabling designers to save time and optimize resource usage. Read our post for more details.