Category: High Performance Computing

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.

We recently launched two new Amazon EC2 instance families based on Intel’s Ice Lake – the C6i and M6i. These instances provide higher core counts and take advantage of generational performance improvements on Intel’s Xeon scalable processor family architectures. In this post we show how GROMACS performs on these new instance families. We use similar methodologies as for previous posts where we characterized price-performance for CPU-only and GPU instances (Part 1, Part 2, Part 3), providing instance recommendations for different workload sizes.

Today we’re announcing the release of AWS ParallelCluster 3.1 which now supports multiuser authentication based on Active Directory (AD). Starting with v3.1.1 clusters can be configured to use an AD domain managed via one of the AWS Directory Service options like Simple AD or AWS Managed Microsoft AD (MSAD). This blog post describes the new feature, and gives an example of a configuration block for ParallelCluster 3 configuration files.

The Met Office is the UK’s National Meteorological Service, providing 24×7 world-renowned scientific excellence in weather, climate and environmental forecasts and severe weather warnings for the protection of life and property. They provide forecasts and guidance for the public, to our government and defence colleagues as well as the private sector. As an example, if you’ve been on a plane over Europe, Middle East, or Africa; that plane took off because the Met Office (as one of two World Aviation Forecast Centres) provided a forecast. This article explains one of the ways they use AWS to collect these observations, which has freed them to focus more on top quality delivery for their customers.

It’s often difficult to keep track of all the announcements AWS is making around HPC. Come and join us on Feb. 9th for a quick overview of the latest and greatest AWS HPC products and services launched over the past year. You will hear directly from the AWS HPC engineers and product managers who have built these exciting new offerings.

ParallelCluster 3 was a major release with several changes and a lot of new features. To help get you started migrating your clusters, we describe the config file converter tool which is part of the ParallelCluster (>= v3.0.1) command line interface (CLI).

Processing large amounts of complex data often requires leveraging a mix of different Amazon EC2 instance types. These types of computations also benefit from shared, high performance, scalable storage like Amazon FSx for Lustre. A way to save costs on your analysis is to use Amazon EC2 Spot Instances, which can help to reduce EC2 costs up to 90% compared to On-Demand Instance pricing. This post will guide you in the creation of a fault-tolerant cluster using AWS ParallelCluster. We will explain how to configure ParallelCluster to automatically unmount the Amazon FSx for Lustre filesystem and resubmit the interrupted jobs back into the queue in the case of Spot interruption events.

This blog post shows how you can create and manage custom AMI images for AWS ParallelCluster 3 using the new AMI creation and management process, which is built using EC2 Image Builder.

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.

We have been working with a team of researchers at the Max Planck Institute, helping them adopt the AWS cloud for drug research applications in the pharmaceutical industry. In this post, we’ll focus on how the team at Max Planck obtained thousands of EC2 Spot Instances spread across multiple AWS Regions for running their compute intensive simulations in a cost-effective manner, and how their solution will be enhanced further using the new Spot Placement Score API.