AWS Compute Blog

Category: AWS Batch*

Building High-Throughput Genomics Batch Workflows on AWS: Workflow Layer (Part 4 of 4)

Aaron Friedman is a Healthcare and Life Sciences Partner Solutions Architect at AWS Angel Pizarro is a Scientific Computing Technical Business Development Manager at AWS This post is the fourth in a series on how to build a genomics workflow on AWS. In Part 1, we introduced a general architecture, shown below, and highlighted the […]

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Building High-Throughput Genomic Batch Workflows on AWS: Batch Layer (Part 3 of 4)

Aaron Friedman is a Healthcare and Life Sciences Partner Solutions Architect at AWS Angel Pizarro is a Scientific Computing Technical Business Development Manager at AWS This post is the third in a series on how to build a genomics workflow on AWS. In Part 1, we introduced a general architecture, shown below, and highlighted the […]

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Deep Learning on AWS Batch

Thanks to my colleague Kiuk Chung for this great post on Deep Learning using AWS Batch. —- GPU instances naturally pair with deep learning as neural network algorithms can take advantage of their massive parallel processing power. AWS provides GPU instance families, such as g2 and p2, which allow customers to run scalable GPU workloads. You […]

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Creating a Simple “Fetch & Run” AWS Batch Job

Dougal Ballantyne, Principal Product Manager – AWS Batch Docker enables you to create highly customized images that are used to execute your jobs. These images allow you to easily share complex applications between teams and even organizations. However, sometimes you might just need to run a script! This post details the steps to create and […]

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