Source: Google Cloud for Electronic Design Automation: new partners from Google Cloud Platform
By Adam Massey, Director, Strategic Technology Partners
A popular enterprise use case for Google Cloud is electronic design automation (EDA)—designing electronic systems such as integrated circuits and printed circuit boards. EDA workloads, like simulations and field solvers, can be incredibly computationally intensive. They may require a few thousand CPUs, sometimes even a few hundred thousand CPUs, but only for the duration of the run. Instead of building up massive server farms that are oversubscribed during peak times and sit idle for the rest of the time, you can use Google Cloud Platform (GCP) compute and storage resources to implement large-scale modeling and simulation grids.
Our partnerships with software and service providers make Google Cloud an even stronger platform for EDA.These solutions deliver elastic infrastructure and improved time-to-market for customers like eSilicon, as described here.
This week at Design Automation Conference, we’re showcasing a first-of-its-kind implementation of EDA in the cloud: our implementation of the Synopsys VCS simulation solution for internal EDA workloads on Google Cloud, by the Google Hardware Engineering team. We also have several new partnerships to help you achieve operational and engineering excellence through cloud computing, including:
If you’d like to learn more about EDA offerings on Google Cloud, we encourage you to visit us at booth 1251 at DAC 2018. And if you’re interested in learning more about how our Hardware Engineering team’s used Synopsys VCS on Google Cloud for internal Google workloads, please stop by Design Infrastructure Alley on Tuesday for a talk by team members Richard Ho and Ravi Rajamani. Hope to see you there!