AWS Public Sector Blog

Tag: HPC

The Water Institute of the Gulf runs compute-heavy storm surge and wave simulations on AWS

The Water Institute of the Gulf runs its storm surge and wave analysis models on Amazon Web Services (AWS)—a task that sometimes requires large bursts of compute power. These models are critical in forecasting hurricane storm surge event (like Hurricane Laura in August 2020), evaluating flood risk for the Louisiana and other coastal states, helping governments prepare for future conditions, and managing the coast proactively.

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genomic makeup data

Stanford researchers accelerate autism research by sharing genomic data in the cloud

In 2014, the Wall Lab at Stanford University sought to answer one of the most pressing questions in neuroscience: What genes influence autism spectrum disorder (ASD)? According to the Centers for Disease Control (CDC), this neurodevelopmental disorder affects roughly one in 54 children in America and is on the rise—nearly tripling since 1992. In the lab’s study of ASD genetics, they chose the cloud—and a unique experimental approach—to speed the time to science.

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Five ways researchers can use the cloud

Five ways to use AWS for research (starting right now)

If you are a scientific researcher, you are likely more interested in getting your research done than in the computational resources that you use to do it. You may think about ways to continue your research remotely with the rise in remote work. Did you know the cloud and Amazon Web Services (AWS) can accelerate your research and time to science? Here are five ways.

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Photo by person on computer looking COVID-19; Patrick Assalé on Unsplash

Updates and early lessons from our COVID-19 HPC Consortium research partners

The concept of a COVID-19 High Performance Computing (HPC) Consortium emerged from a roundtable discussion at the White House in March and included input from industry, government, and academic leaders. Following the announcement of the consortium, AWS has been collaborating with teams on a growing number of projects to provide cloud computing resources from AWS. I want to share three early learnings and insights into some of the innovative projects on which we are collaborating with the world’s leading researchers.

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pFaces targets heterogenous hardware configurations (HWCs) combining compute nodes (CNs) of CPUs, GPUs and hardware accelerators (HWAs). A web-based interface helps developers design parallel algorithms and run them on targeted HWCs.

TUM researcher finds new approach to safety-critical systems using parallelized algorithms on AWS

Mahmoud Khaled, a PhD student at TUM and a research assistant at LMU, researches how to improve safety-critical systems that require large amounts of compute power. Using AWS, Khaled’s research project, pFaces, accelerates parallelized algorithms and controls computational complexity to speed the time to science. His project findings introduce a new way to design and deploy verified control software for safety-critical systems, such as autonomous vehicles.

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Dr. Nicholas Chilton and his research group at The University of Manchester’s Department of Chemistry in the School of Natural Sciences.

How researchers at The University of Manchester explore magnetic properties of molecules with the AWS Cloud

Dr. Nicholas Chilton and his research group at The University of Manchester’s Department of Chemistry in the School of Natural Sciences investigate the magnetic properties of molecules for high-density storage, quantum computing, and applications like MRI contrast agents. He turned to the cloud when the university’s onsite HPC cluster couldn’t provide the high-throughput compute power needed to answer his research questions.

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Amazon EC2 Spot Instances now available in AWS GovCloud (US) Regions

Amazon EC2 Spot Instances are now available in Amazon Web Services (AWS) GovCloud (US) Regions. AWS GovCloud (US) is Amazon’s isolated cloud infrastructure and services designed to address specific regulatory and compliance requirements of US Government agencies, as well as contractors, educational institutions, and other US customers that run sensitive workloads in the cloud. With Amazon EC2 Spot Instances, AWS GovCloud (US) customers can take advantage of the largest pool of cost-effective compute capacity in the world, while realizing savings up to 90% compared to on-demand prices. Spot Instances provide acceleration, scale, and cost savings that are ideal for fault-tolerant, flexible, loosely coupled, and stateless workloads.

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Unleashing Seismic Modeling at Scale: We Can’t Stop Quakes, But We Can Be Better Prepared

The terrible headlines are all too familiar. A major earthquake strikes, with a devastating impact on lives, economies, and the environment. The initial event often triggers additional disasters, such as fires or tsunamis that unleash substantial damage. The 2004 Indian Ocean undersea earthquake spawned a tsunami that took more than 225,000 lives. More than 100,000 people were lost as a result of a 7.0 temblor in Haiti in 2010. In some cases, the impact of a major seismic event will continue for decades or longer, as we’ve seen in the Fukushima Daiichi nuclear disaster of 2011.

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Finding Answers in the Cloud: MIT’s Wright Brothers Wind Tunnel Re-design

MIT is replacing the Wright Brothers Wind Tunnel (WBWT) with a new, state-of-the-art facility. And they’re relying on AWS to do it. Post-refresh, the WBWT, first commissioned in 1938, will be the largest and most advanced wind tunnel to reside in a U.S. academic setting. But first, it helps to understand why the re-design is happening in the first place.

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