Electronic CAD News
Electronic CAD Resources
July 27, 2021
Ansys announces that, together with Arm, the company is providing simulation solutions based AWS Graviton2 processors as part of its cloud offerings enabled by Amazon Web Services (AWS). It makes the first availability of Ansys' electronic design automation (EDA) semiconductor simulation solutions on the Arm Neoverse architecture.
Beginning with Ansys' APL (Apache Power Library) characterization tool, Ansys will offer more semiconductor analysis software products that can run on AWS Graviton2-powered Amazon Elastic Compute Cloud (EC2) instances, the announcement states.
“We designed Arm Neoverse to deliver the performance and efficiency required for workloads in cloud environments,” said Philippe Moyer, vice president of Design Enablement, Physical Design Group at Arm. “By collaborating with Ansys and AWS to make APL available for the Arm architecture, we are continuing to enable the EDA ecosystem on Arm, ensuring Ansys' semiconductor tools portfolio runs effectively on optimized hardware.”
The deployment of Ansys' APL characterization tool on Arm Neoverse affordably expedites the development and verification of technology solutions for Ansys customers on AWS, according to Ansys.
“This port makes the Arm architecture and AWS more attractive to chip design customers, empowering them to improve productivity and cost savings across their organizations,” said John Lee, VP and GM at Ansys. “Access to cloud computing has become vital to our customers as their chip designs keep getting bigger. By making more of Ansys' semiconductor simulation portfolio available on this new platform, we give our customers broader access to the cloud.”
The Graviton2 processor built on the Arm Neoverse architecture delivers up to 40% better price performance over comparable current generation instances for a wide variety of workloads, Ansys points out.
According to the announcement, the collaboration lays the foundation for deploying more of Ansys' comprehensive semiconductor simulation portfolio on processors built in Arm architectures.