Ala Abunijem

AWS Parallel Computing Service (PCS) is helping teams modernize their HPC infrastructure by making it easier to migrate off legacy schedulers without disrupting engineering velocity.

High throughput compute workloads or loosely coupled high performance compute (HPC) workloads are essential to solving problems such as parametric sweeps, financial simulations, and genomics.

In this chalk talk, learn how to efficiently and cost-effectively run your high-scale, compute-intensive workloads using the capabilities of AWS Batch. Scaling containers for batch workloads like machine learning training, simulations, and large dataset processing in a timely fashion is challenging.

In this chalk talk, learn about different types of architectures and tools that can help you manage your batch jobs on AWS. Find out architectural best practices for Spot Instance allocation strategies, instance selection, and using events to gather information on workloads.