Accelerating Aprisa RTL-to-GDS with AWS cloud compute
For today’s digital designs, RTL-to-GDS flows are a compute-intensive design stage requiring high-performance machines with high memory capacity. As design flows incorporate more automation, schedule bottleneck shifts from engineering time, to compute time.
One of the ways this bottleneck can be reduced is by utilizing the scalability of cloud compute.
In this session, we will discuss how AWS and Siemens EDA are collaborating and enabling Aprisa users to utilize AWS cloud compute for RTL-to-GDS. We will cover the factors to consider when selecting AWS HPC infrastructure including Amazon EC2 instance types, discuss the different AWS capabilities available for RTL-to-GDS workflows, as well as Aprisa’s cloud-ready features that enable users to take advantage of these AWS capabilities.
À propos de l'intervenant
Dnyanesh Digraskar
Principal HPC Partner Solutions Architect
Dnyanesh Digraskar is a Principal HPC Partner Solutions Architect at AWS. He leads the HPC implementation strategy with the AWS ISV partners to help them build scalable well-architected solutions for our customers. He has more than fifteen years of expertise in the areas of HPC, EDA & HiTech Solutions, and Engineering Design. Dnyanesh holds a Master’s degree in Mechanical Engineering from University of Massachusetts, Amherst.