AWS Public Sector Blog
Tag: AWS ParallelCluster
Emory University supports AI.Humanity initiative with high-performance computing on AWS
In 2022, Emory launched the AI.Humanity initiative to explore the societal impacts of artificial intelligence (AI) and influence its future development to serve humanity. Emory aims to be a leading advocate for ethical use of AI and a top destination for students and faculty seeking to understand and apply its transformative technologies. Read this blog post to learn how Emory uses Amazon Web Services (AWS) to support the computing needs of AI.Humanity.
How to put a supercomputer in the hands of every scientist
The AWS Cloud gives you access to virtually unlimited infrastructure suitable for high performance computing (HPC) workloads. With HPC, you can remove long queues and waiting times so you don’t have to choose availability over performance. In this technical guide, learn how to use AWS ParallelCluster to set up and manage an HPC cluster in a flexible, elastic, and repeatable way.
Modeling clouds in the cloud for air pollution planning: 3 tips from LADCO on using HPC
In the spring of 2019, environmental modelers at the Lake Michigan Air Directors Consortium (LADCO) had a new problem to solve. Emerging research on air pollution along the shores of the Great Lakes in the United States showed that to properly simulate the pollution episodes in the region we needed to apply our models at a finer spatial granularity than the computational capacity of our in-house HPC cluster could handle. The LADCO modelers turned to AWS ParallelCluster to access the HPC resources needed to do this modeling faster and scale for our member states.
A new key to unlocking drug discovery
Be it aspirin for headache, or statin for cholesterol, or amoxicillin as an antibiotic, there are small molecules that we refer to as drugs that can offer therapeutic remedy. Given the range of possible molecule to protein combinations, finding the right small molecule that is able to bind strongly to a certain target site and inhibit its function is a time-intensive and challenging feat. Enter VirtualFlow, a new open-source software that performs screens, essentially matchmaking between molecules and proteins. Harvard Medical School researchers developed the VirtualFlow platform that tests compounds through computer simulations. Using AWS and an AWS Cloud Credit for Research grant, the researchers demonstrated that VirtualFlow is able to run on the cloud.