blog_posts: 49787d5700
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id | createdDate | title | link | postExcerpt | featuredImageUrl | hash | contributors | modifiedDate | displayDate |
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blog-posts#53-10549 | 2022-03-17 22:29:46 | Hummingbird – a tool for effective prediction of performance and costs of genomics workloads on AWS | https://aws.amazon.com/blogs/industries/hummingbird-a-tool-for-effective-prediction-of-performance-and-costs-of-genomics-workloads-on-aws/ | Blog guest authored by Utsab Ray, Amir Alavi, Amit Dixit, Vandhana Krishnan, and Amir Bahmani from Stanford University. Genomics researchers often face challenges in accurately estimating the compute and memory resources required for their workloads as they work to migrate their data processing to the cloud. AWS cloud computing infrastructure offers scalable and cost-effective solutions [...] | https://d2908q01vomqb2.cloudfront.net/c5b76da3e608d34edb07244cd9b875ee86906328/2022/03/14/Feature-page.jpg | 49787d5700 | Sujaya Srinivasan, Goutam Nistala, Paul Saxman | 2022-03-17 22:29:46 | 17 Mar 2022 |
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