RedHawk-SC’s SeaScape database is fully distributed and thrives on distributed disk access across a network. RedHawk-SC was architected on a purpose-built, cloud-friendly analysis platform called Ansys SeaScape™. The scale and complexity of sign-off makes it an ideal candidate to run on the AWS Cloud. However, because of the demanding requirements of compute for sign-off, even the larger semiconductor development teams can find it challenging to acquire sufficient compute resources to efficiently run this workload at scale. Being able to scale this workload to more systems with the appropriate configuration can help development teams reduce the amount of time spent in sign-off. Since semiconductor development teams are often under very tight schedule restrictions, reducing the time spent running analysis is key to meeting the manufacturing deadline date, also known as the tape-out date. This requires thousands of CPU core hours, hundreds of gigabytes of RAM, and terabytes of high-performance shared file storage.
Analysis tools must simulate the interaction of billions of electrical nodes and interconnects in detail. Given the complexity of modern semiconductor ICs, sign-off analysis is extremely resource intensive. Proper verification and sign-off are critical to the success of successful semiconductor IC development and RedHawk-SC is one of the most trusted solutions for design authentication. This is vital because errors in post-manufacturing functionality often lead to revisions and remanufacturing costs that can exceed $10M for an advanced chip design. Sign-off helps developers validate that their design will work as expected once manufactured. Ansys RedHawk-SC is the industry recognized leader in power integrity and reliability analysis which fills a vital role in the sign-off step of semiconductor development. One of the key elements in the EDA tool chain is Ansys RedHawk-SC. Electronic Design Automation (EDA) describes a category of tools that engineers used to help automate the development process and help manage that complexity. With some modern semiconductor integrated circuits (IC) growing past 50 billion transistors, it is impossible for engineers to manage this level of complexity without the help of modern engineering tools. By combining the capabilities of Ansys RedHawk-SC with being able to scale compute resources on AWS, customers can reduce the overall cost of running sign-off while also accelerating the time to results. The joint investigation outlines how to right-size AWS compute and storage resource for optimal price/performance results while running at scale. This blog discusses the insights Ansys and AWS were able to gain by scaling Ansys RedHawk-SC on the AWS Cloud.
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