AMF304: Optimizing Design and Engineering Performance in the Cloud for Manufacturing

Published: Dec. 1, 2017, midnight

b"Manufacturing companies in all sectors\\u2014including automotive, aerospace, semiconductor, and industrial manufacturing\\u2014rely on design and engineering software in their product development processes. These computationally-intensive applications\\u2014such as computer-aided design and engineering (CAD and CAE), electronic design automation (EDA), other performance-critical applications\\u2014require immense scale and orchestration to meet the demands of today's manufacturing requirements. In this session, you learn how to achieve the maximum possible performance and throughput from design and engineering workloads running on Amazon EC2, elastic GPUs, and managed services such as AWS Batch and Amazon AppStream 2.0. We demonstrate specific optimization techniques and share samples on how to accelerate batch and interactive workloads on AWS. We also demonstrate how to extend and migrate on-premises, high performance compute workloads with AWS, and use a combination of On-Demand Instances, Reserved Instances, and Spot Instances to minimize costs."