Category: Customer Solutions

Supporting climate model simulations to accelerate climate science

The Amazon Sustainability Data Initiative (ASDI), AWS is donating cloud resources, technical support, and access to scalable infrastructure and fast networking providing high performance computing solutions to support simulations of near-term climate using the National Center for Atmospheric Research (NCAR) Community Earth System Model Version 2 (CESM2) and its Whole Atmosphere Community Climate Model (WACCM). In collaboration with ASDI, AWS, and SilverLining, a nonprofit dedicated to ensuring a safe climate, the National Center for Atmospheric Research (NCAR) will run an ensemble of 30 climate-model simulations on AWS. The climate runs will simulate the Earth system over the period of years 2022-2070 under a median scenario for warming and make them available through the AWS Open Data Program. The simulation work will demonstrate the ability to use cloud infrastructure to advance climate models in support of robust scientific studies by researchers around the world and aims to accelerate and democratize climate science.

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High Burst CPU Compute for Monte Carlo Simulations on AWS

Playtech mathematicians and game designers need accurate, detailed game play simulation results to create fun experiences for players. While software developers have been able to iterate on code in an agile manner for many years, for non-analytical solutions, mathematicians have had to rely on slow CPU-bound Monte-Carlo simulations, waiting, as software engineers once did, many hours or overnight to get the results of their latest changes. These statistics are also required as evidence of game fairness in the highly regulated online gaming business. Playtech has developed an AWS Lambda Serverless based solution that provides massive burst compute performance that allows game simulations in minutes rather than hours. This post goes into the details of the architecture, as well as some examples of using the system in our development and operations.

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Stion – a Software as a Service for Cryo-EM data processing on AWS

This post was written by Swapnil Bhatkar, Cloud Engineer, NREL in collaboration with Edward Eng Ph.D. and Micah Rapp Ph.D, both SEMC/NYSBC, and Evan Bollig Ph.D. and Aniket Deshpande, both AWS. Introduction Cryo-electron microscopy (Cryo-EM) technology allows biomedical researchers to image frozen biological molecules, such as proteins, viruses and nucleic acids, and obtain structures of […]

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Accelerating research and development of new medical treatments with HPC on AWS

Today, more than 290,000 researchers in France are working to provide better support and care for patients through modern medical treatment. To fulfill their mission, these researchers must be equipped with powerful tools. At AWS, we believe that technology has a critical role to play in medical research. Why? Because technology can take advantage of the significant amount of data generated in the healthcare system and in the research community to enable opportunities for more accurate diagnoses, and better treatments for many existing and future diseases. To support elite research in France, we are proud to be a sponsor of two French organizations:  Gustave Roussy and Sorbonne University. AWS is providing them with the computing power and machine learning technologies needed to accelerate cancer research and develop a treatment for COVID-19.

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Figure 1. A map of the USA showing the location of RITC participants and instructors for the Spring 2021 RITC Workshops.

Training forecasters to warn severe hazardous weather on AWS

Training users on how to use high performance computing resources — and the data that comes out as a result of those analyses — is an essential function of most research organizations. Having a robust, scalable, and easy-to-use platform for on-site and remote training is becoming a requirement for creating a community around your research mission. A great example of this comes from the NOAA National Weather Service Warning Decision Training Division (WDTD), which develops and delivers training on the integrated elements of the hazardous weather warning process within a National Weather Service (NWS) forecast office. In collaboration with the University of Oklahoma’s Cooperative Institute for Mesoscale Meteorological Studies (OU/CIMMS), WDTD conducts its flagship course, the Radar and Applications Course (RAC), for forecasters issuing warnings for flash floods, severe thunderstorms, and tornadoes. Trainees learn the warning process, the science and application of conceptual models, and technical aspects of analyzing radar and other weather data in the Advanced Weather Interactive Processing System (AWIPS). 

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GROMACS price-performance optimizations header image

GROMACS price-performance optimizations on AWS

Molecular dynamics (MD) is a simulation method for analyzing the movement and tracing trajectories of atoms and molecules where the dynamics of a system evolve over time. MD simulations are used across various domains such as material sciences, biochemistry, biophysics and are typically used in two broad ways to study a system. The importance of […]

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Running finite element analysis using Simcenter Nastran on AWS

This post was written by Dnyanesh Digraskar, Sr. Partner Solutions Architect for HPC at AWS and co-authored by Wei Zhang and Ravi Gupta, Sr Software Engineers for Simcenter Nastran at Siemens. Introduction In this blog, we demonstrate the deployment, performance, and price comparisons of Simcenter Nastran for three finite element analysis (FEA) based use cases […]

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Simplify HPC cluster usage with AWS Cloud9 and AWS ParallelCluster

This post was written by Benjamin Meyer, AWS Solutions Architect When companies and labs start their high performance computing (HPC) journey in the AWS Cloud, it’s not only because they’re in search of elasticity and scale – they’re also in search of new tools and environments. Initially this can appear challenging as there are many […]

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