AWS Compute Blog

Tag: AWS Batch

Introducing Spot Blueprints, a template generator for frameworks like Kubernetes and Apache Spark

This post is authored by Deepthi Chelupati, Senior Product Manager for Amazon EC2 Spot Instances, and Chad Schmutzer, Principal Developer Advocate for Amazon EC2 Customers have been using EC2 Spot Instances to save money and scale workloads to new levels for over a decade. Launched in late 2009, Spot Instances are spare Amazon EC2 compute […]

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Introducing retry strategies for AWS Batch

This post is contributed by Christian Kniep, Sr. Developer Advocate, HPC and AWS Batch. Scientists, researchers, and engineers are using AWS Batch to run workloads reliably at scale, and to offload the undifferentiated heavy lifting in their day-to-day work. But even with a slight chance of failure in the stack, the act of mitigating these […]

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DCV Client connected to a running session

How to run 3D interactive applications with NICE DCV in AWS Batch

This post is contributed by Alberto Falzone, Consultant, HPC and Roberto Meda, Senior Consultant, HPC. High Performance Computing (HPC) workflows across industry verticals such as Design and Engineering, Oil and Gas, and Life Sciences often require GPU-based 3D/OpenGL rendering. Setting up drivers and applications for these types of workflows can require significant effort. Similar GPU […]

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application using AWS Batch

Orchestrating an application process with AWS Batch using AWS CloudFormation

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 […]

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Creating an AWS Batch environment for mixed CPU and GPU genomics workflows

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 […]

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GPU workloads on AWS Batch

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 […]

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Building a tightly coupled molecular dynamics workflow with multi-node parallel jobs in AWS Batch

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 […]

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Using Cromwell with AWS Batch

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 […]

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Deploy an 8K HEVC pipeline using Amazon EC2 P3 instances with AWS Batch

Update – April 14, 2020: AWS Elemental MediaConvert now supports 8K UHD video encoding. 8K encoding is available in the MediaConvert on-demand, professional tier, for resolutions up to 8192 x 4320 using HEVC encoding at 10-bit including HDR. To learn more, please visit https://aws.amazon.com/about-aws/whats-new/2019/11/8k-resolution-encoding-now-available-with-aws-elemental-media-convert/. Contributed by Amr Ragab, HPC Application Consultant, AWS Professional Services AWS provides several […]

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