Google Cloud and AMD today announced a partnership in which AMD will run electronic design automation (EDA) for its chip-design workloads on Google Cloud, extending the on-premises capabilities of AMD data centers. AMD will also leverage Google Cloud’s global networking, storage, artificial intelligence, and machine learning capabilities to improve upon its hybrid and multicloud strategy […]
Six Smarter Scheduling Techniques For Optimizing EDA Productivity
April 20, 2022 by
[SPONSORED POST] Workload management plays a crucial role in helping design teams share limited resources, boost simulation throughput, and maximize productivity. In this white paper, “Six Smarter Scheduling Techniques For Optimizing EDA Productivity,” Altair discusses six valuable techniques to help improve design center productivity. By adopting these techniques and products in the Altair® Accelerator™ portfolio, organizations can realize higher levels of efficiency and performance and dramatically improve productivity with smarter workload scheduling.
Six Smarter Scheduling Techniques For Optimizing EDA Productivity
April 18, 2022 by Leave a Comment
Workload management plays a crucial role in helping design teams share limited resources, boost simulation throughput, and maximize productivity. In this paper, Altair discusses six valuable techniques to help improve design center productivity. By adopting these techniques and products in the Altair® Accelerator™ portfolio, organizations can realize higher levels of efficiency and performance and dramatically improve productivity with smarter workload scheduling.
On the Front Lines of AI Automation: Life Sciences and Chip Design
September 9, 2021 by
Given the right task, AI-driven machines can be empowered with supercharged IQs that make the smartest humans look dumb, or at least inefficient. As we watch advances made in task automation, we see it burgeoning into fields previously (last week) thought unimaginable. Two recent reports underline the trend. In one, Carnegie Mellon University is teaming […]
