From Silicon To Software

 

Saving Time and Optimizing Resource Usage for Physical Verification

physical chip design verification aws cloud
By Ahmed Elzeftawi, Semiconductor and EDA Partner Solutions Architect, AWS; Art Baudo, Principal Specialist, EC2 Core, Worldwide Specialist Organization, AWS; Manoz Palaparthi, Product Marketing Manager, Synopsys Systems Design Group; and Ratna Dasari, Solutions Architect, Enterprise SA, AWS

Chip designs are increasing in complexity and size, which has resulted in additional transistors driving a need for greater processing power and memory. Greater silicon complexity makes physical verification with electronic design automation (EDA) applications more essential as any delays close to tape-out significantly impact production timelines.

Silicon designers now require increased CPU and memory resources to verify their advanced processor designs. Design rule checking (DRC) and layout versus schematic (LVS) jobs for sophisticated designs can now span several days for a full-chip design and require hundreds or thousands of CPU cores to complete in a reasonable time. Enabling designers with a fast and efficient way to verify their designs helps reduce verification time and costs (including hardware, software, and engineering hours).

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.