AWS HPC Blog
Category: Application Services
Deploying and running HPC applications on AWS Batch
In this post AWS Professional Services describes how they recommend using AWS Batch and Amazon Elastic Container Service (Amazon ECS) managed services for running HPC applications like GROMACS and RELION.
Building a 4x faster and more scalable algorithm using AWS Batch for Amazon Logistics
In this post, AWS Professional Services highlights how they helped data scientists from Amazon Logistics rearchitect their algorithm for improving the efficiency of their supply-chain by making better planning decisions. Leveraging best practices for deploying scalable HPC applications on AWS, the teams saw a 4X improvement in run time.
How to manage HPC jobs using a serverless API
HPC systems are traditionally access through a Command Line Interface (CLI) where the users submit and manage their computational jobs. Depending on their experience and sophistication, the CLI can be a daunting experience for users not accustomed in using it. Fortunately, the cloud offers many other options for users to submit and manage their computational jobs. In this blog post we will cover how to create a serverless API to interact with an HPC system in the the cloud built with AWS ParallelCluster.
Using AWS Batch Console Support for Step Functions Workflows
Last year, we published the Genomics Secondary Analysis Using AWS Step Functions and AWS Batch solution as a companion solution to the Genomics Data Transfer, Analytics, and Machine Learning Using AWS Services whitepaper. Since then, many customers have used the secondary analysis solution to automate their bioinformatics pipelines in AWS. A common pain point expressed […]
High Burst CPU Compute for Monte Carlo Simulations on AWS
Playtech mathematicians and game designers need accurate, detailed game play simulation results to create fun experiences for players. While software developers have been able to iterate on code in an agile manner for many years, for non-analytical solutions, mathematicians have had to rely on slow CPU-bound Monte-Carlo simulations, waiting, as software engineers once did, many hours or overnight to get the results of their latest changes. These statistics are also required as evidence of game fairness in the highly regulated online gaming business. Playtech has developed an AWS Lambda Serverless based solution that provides massive burst compute performance that allows game simulations in minutes rather than hours. This post goes into the details of the architecture, as well as some examples of using the system in our development and operations.