AWS Public Sector Blog
Author: Mark Schreiber
Mark Schreiber is a senior genomics consultant working in the Amazon Web Services (AWS) health artificial intelligence (AI) team. Mark specializes in genomics and life sciences applications and data. Prior to joining AWS, he worked for several years with pharmaceutical and biotech companies. Mark is also a frequent contributor to open-source projects.
A generalized approach to benchmarking genomics workloads in the cloud: Running the BWA read aligner on Graviton2
The AWS Cloud gives genomics researchers access to a wide variety of instance types and chip architectures and this elasticity allows us to rethink genomics workflows when running workloads in the cloud. Given the increased performance of the Graviton2 instances, we wanted to explore if they can be used for cost-effective and performant genomics workloads. Read on to learn about our generalized approach for determining the most effective instance type for running genomics workloads in the cloud.