AWS HPC Blog
Category: Uncategorized
Application deep-dive into the AWS Graviton3E-based Amazon EC2 Hpc7g instance
In this post we’ll show you application performance and scaling results from Hpc7g, a new instance powered by AWS Graviton3E across a wide range of HPC workloads and disciplines.
Accelerating the shift towards a sustainable economy using HPC on AWS
The transition to a sustainable economy is a major goal of many organizations today. HPC plays a pivotal role and in this post we’ll explore how HPC on AWS is enabling the shift towards a sustainable future.
The benefits of computational chemistry for the circular economy
In this blog post, we’ll explore the benefits of computational chemistry for the circular economy, how it can help reduce waste, and describe the potential for new innovative materials.
AWS ParallelCluster 3.3.0 now supports On-Demand Capacity Reservations
With #AWS #ParallelCluster 3.3, you can now easily take advantage of #EC2 On-Demand Capacity Reservations to help ensure your jobs have the capacity they need when they need it. This post describes the new feature and how you can benefit from it.
Building deep learning models for geoscience using MATLAB and NVIDIA GPUs on Amazon EC2 (Part 2 of 2)
This is the second of a two-part post.Part 1 discussed the workflow for developing AI models using MATLAB for seismic interpretation. Today, we will discuss the various compute resources leveraged from AWS and NVIDIA for developing the models.
Building deep learning models for geoscience using MATLAB and NVIDIA GPUs on Amazon EC2 (Part 1 of 2)
In this blog post, we discuss how geoscientists can use shallow RNN-based algorithms with MATLAB to automatically recognize distinct geologic features in seismic images. We discuss the workflow for developing the AI models using MATLAB for seismic interpretation. In a second post will introduce the various compute resources leveraged from AWS and NVIDIA for developing the models.
Launch self-supervised training jobs in the cloud with AWS ParallelCluster
In this post we describe the process to launch large, self-supervised training jobs using AWS ParallelCluster and Facebook’s Vision Self-Supervised Learning (VISSL) library.
Bridging research and HPC to tackle grand challenges
Today we announced the AWS Impact Computing Project at the Harvard Data Science Initiative (HDSI) to identify potential solutions that can improve the lives of humans, other species, and natural ecosystems. Deb Goldfarb describes its goals and our joint vision.
Hyper Metal: Scaling AWS Instances Up with TidalScale
In this post we show you how to scale large-memory, high CPU-count single system-image environments on AWS with HyperMetal-powered instances by TidalScale.
Easing your migration from SGE to Slurm in AWS ParallelCluster 3
This post will help you understand the tools available to ease the stress of migrating your cluster (and your users) from SGE to Slurm, which is necessary since the HPC community is no longer supporting SGE’s open-source codebase.







