AWS HPC Blog
Category: Technical How-to
On-demand visual login nodes – using RES with AWS Parallel Computing Service
Running large-scale modeling and simulations just got easier. Check out our new post on integrating AWS Parallel Computing Service with Research and Engineering Studio for individualized access to HPC resources.
Building a secure and compliant HPC environment on AWS following NIST SP 800-223
Check out our latest blog post to learn how AWS enables building secure, compliant high performance computing (HPC) environments aligned with NIST SP 800-223 guidelines. We walk through the key components, security considerations, and steps for deploying a zone-based HPC architecture on AWS.
Improve engineering productivity using AWS Engineering License Management
This post was contributed by Eran Brown, Principal Engagement Manager, Prototyping Team, Vedanth Srinivasan, Head of Solutions, Engineering & Design, Edmund Chute, Specialist SA, Solution Builder, Priyanka Mahankali, Senior specialist SA, Emerging Domains For engineering companies, the cost of Computer Aided Design and Engineering (CAD/CAE) tools can as high as 20% of product development cost. […]
Create a Slurm cluster for semiconductor design with AWS ParallelCluster
If you work in the semiconductor industry with electronic design automation tools and workflows, this guide will help you build an HPC cluster on AWS specifically configured for your needs. It covers AWS ParallelCluster and customizations specifically to cater to EDA.
Explore costs of AWS Batch jobs run on Amazon EKS using pod labels and Kubecost
Today we show you how to get insights into the costs of running AWS Batch workloads on Amazon EKS using Kubernetes pod labels with Kubecost.
Install optimized software with Spack configs for AWS ParallelCluster
Today, we’re announcing the availability of Spack configs for AWS ParallelCluster. You can use these configurations to install optimized HPC applications quickly and easily on your AWS-powered HPC clusters.
Building a Scalable Predictive Modeling Framework in AWS – Part 2
In the first part of this three-part blog series, we introduced the aws-do-pm framework for building predictive models at scale in AWS. In this blog, we showcase a sample application for predicting the life of batteries in a fleet of electric vehicles, using the aws-do-pm framework.
Optimize your Monte Carlo simulations using AWS Batch
Introduction Monte Carlo methods are a class of methods based on the idea of sampling to study mathematical problems for which analytical solutions may be unavailable. The basic idea is to create samples through repeated simulations that can be used to derive approximations about a quantity we’re interested in, and its probability distribution. In this […]
Integrating OKTA identity service provider with NICE EnginFrame
This post by Roberto Meda and Salvo Maccarone covers how you can configure NICE EnginFrame to leverage OKTA as an identity service provider to support SAML 2.0 single sign on authentication and several other features like multi-factor verification, API access management and multi-device support.
Running Windows HPC Workloads using HPC Pack in AWS
This blog post shows you how to deploy an HPC cluster for Windows workloads. We have provided an AWS CloudFormation template that automates the creation process to deploy an HPC Pack 2019 Windows cluster. This will help you get started quickly to run Windows-based HPC workloads, while leveraging highly scalable, resilient, and secure AWS infrastructure. As an example, we show how to run a sample parametric sweep for EnergyPlus, an open source energy simulation tool maintained by the U.S. Department of Energy’s Building Technology Office.