AWS Public Sector Blog

Tag: HPC

Sacramento California

California uses open source solutions and the cloud to create a model of models

Governments, like the state government of California, are in the midst of a transition to a new way of delivering vital information, services and programs using technology and the cloud. Government organizations are adopting approaches pioneered in the technology industry, including user-centered design, agile development, data science, modular contracting, and the use of modern technology platforms. Many of these governments, like the state of California, are using Amazon Web Services (AWS) to respond quickly and scale to battle unprecedented challenges, like COVID-19, and help them quickly make decisions about how to protect their constituents.

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tube train speeding past in a blur at station at night

Mission: Delivering at speed

From speeding the time to science to accelerating the delivery of critical citizen services, our customers are migrating to the AWS Cloud to successfully deliver on their missions. Our current environment has pushed us all into new ways of learning, working, and even socializing. And the cloud has made these recent changes and innovations possible. These customer examples can offer a playbook and inspiration for how organizations can leverage the cloud to innovate quickly and deliver on behalf of citizens.

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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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