blog_posts: 83176fa192
This data as json
id | createdDate | title | link | postExcerpt | featuredImageUrl | hash | contributors | modifiedDate | displayDate |
---|---|---|---|---|---|---|---|---|---|
blog-posts#18-10377 | 2021-02-23 21:54:22 | A generalized approach to benchmarking genomics workloads in the cloud: Running the BWA read aligner on Graviton2 | https://aws.amazon.com/blogs/publicsector/generalized-approach-benchmarking-genomics-workloads-cloud-bwa-read-aligner-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. | https://d2908q01vomqb2.cloudfront.net/9e6a55b6b4563e652a23be9d623ca5055c356940/2021/02/23/genomics-benchmarking.jpg | 83176fa192 | Mark Schreiber, Ankit Malhotra | 2021-05-06 14:15:32 | 23 Feb 2021 |
Links from other tables
- 19 rows from blog_post_hash in blog_post_tags