Category: AWS Batch

This post is written by Sivasubramanian Ramani In many real work applications, you can use custom Docker images with AWS Batch and AWS CloudFormation to execute complex jobs efficiently.   This post provides a file processing implementation using Docker images and Amazon S3, AWS Lambda, Amazon DynamoDB, and AWS Batch. In this scenario, the user […]

This post is contributed by Steve Kendrex, Senior Technical Product Manager, AWS Batch   Introduction   AWS offers a broad range of instances that are advantageous for batch workloads. The scale and provisioning speed of AWS’ compute instances allow you to get up and running at peak capacity in minutes without paying for downtime. Today, I’m […]

Leveraging Elastic Fabric Adapter to run HPC and ML Workloads on AWS Batch  This post is contributed by  Sean Smith, Software Development Engineer II, AWS ParallelCluster & Arya Hezarkhani, Software Development Engineer II, AWS Batch and HPC   On August 2, 2019, AWS Batch announced support for Elastic Fabric Adapter (EFA). This enables you to run highly […]

This post is courtesy of Lee Pang – AWS Technical Business Development  I recently worked with a customer who needed to process a bunch of raw sequence files (FastQs) into Hi-C format (*.hic), which is used for the structural analysis of DNA/chromatin loops and sequence accessibility. The tooling they were interested in using was the Juicer […]

Contributed by Manuel Manzano Hoss, Cloud Support Engineer I remember playing around with graphics processing units (GPUs) workload examples in 2017 when the Deep Learning on AWS Batch post was published by my colleague Kiuk Chung. He provided an example of how to train a convolutional neural network (CNN), the LeNet architecture, to recognize handwritten digits […]

This post is courtesy of Ryan Ulaszek, AWS Genomics Partner Solutions Architect and Aaron Friedman, AWS Healthcare and Life Sciences Partner Solutions Architect In 2017, we published a four part blog series on how to build a genomics workflow on AWS. In part 1, we introduced a general architecture highlighting three common layers: job, batch and […]

Contributed by Amr Ragab, HPC Application Consultant, AWS Professional Services and Aswin Damodar, Senior Software Development Engineer, AWS Batch At Supercomputing 2018 in Dallas, TX, AWS announced AWS Batch support for running tightly coupled workloads in a multi-node parallel jobs environment. This AWS Batch feature enables applications that require strong scaling for efficient computational workloads. Some of […]

Contributed by W. Lee Pang and Emil Lerch, WWPS Professional Services DNA is often referred to as the “source code of life.” All living cells contain long chains of deoxyribonucleic acid that encode instructions on how they are constructed and behave in their surroundings. Genomics is the study of the structure and function of DNA […]

Contributed by Amr Ragab, HPC Application Consultant, AWS Professional Services AWS provides several managed services for file- and streaming-based media encoding options. Amazon Elastic Transcoder and AWS Elemental MediaConvert each provide several options for video/audio transcoding, optimized for various client devices. AWS Elemental Live provides online streaming-based encoding from edge camera devices. Through AWS Greengrass, edge […]

This post courtesy of Arya Hezarkhani. AWS CloudFormation allows developers and systems administrators to easily create and manage a collection of related AWS resources (called a CloudFormation stack) by provisioning and updating them in an orderly and predictable way. CloudFormation users can now deploy and manage AWS Batch resources in exactly the same way that […]