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AWS HPC

Resources

Whitepapers, eBooks, and Infographics

Automations

Solution Brief: Driving energy efficiency for HPC workloads with accelerated computing from AWS and NVIDIA

Organizations around the world are using AWS and NVIDIA to run their HPC and AI/ML workloads. Powered by the latest NVIDIA GPUs and accelerated by various tools and services, organizations can gain insights faster while improving energy efficiency. Read this solution brief for an energy efficient approach to running these workloads at scale.

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Automations

Solution Brief: Leverage HPC on AWS, powered by NVIDIA GPUs, to solve your most complex workload challenges

High performance computing (HPC) continues to fuel advances in various industries, from healthcare and drug discovery, to energy with more efficient operations, to transporation with autonomous driving.

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Automations

Infographic: Simplify deployment and management of HPC workloads

As the first cloud-based product to be verified as an Intel Select Solution, AWS ParallelCluster enables customers to easily deploy HPC workloads on AWS. Learn more about how to configure resources with a single parameter or by using pre-built templates.

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Automations

Infographic: Five Reasons to Run Your CAE Workloads on AWS

Today, nearly all industries are using computer-aided engineering (CAE) in product development, including: automotive, aerospace, plant engineering, electronics, energy, and consumer goods. In this infographic, learn five reasons why AWS is a great choice to run your CAE workloads.

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Automations

Whitepaper: The Cloud Steps up to Tightly Coupled HPC Codes

In this Technology Spotlight, Hyperion Research discusses how the cloud has evolved to support tightly coupled HPC codes.

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Automations

Whitepaper: Lowering Time-to-Results with Elastic Fabric Adapter

Learn how you tightly coupled HPC or distributed ML codes can now scale to thousands of cores using Elastic Fabric Adapter, thereby providing you with results faster.

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Automations

Analyst Spotlight: Computational Evaluation of Commercial Cloud HPC with a Global Atmospheric Model

This Hyperion Research paper discusses the US Naval Research Laboratory’s use of HPC and cloud capabilities for atmospheric modelling and forecasting. The paper highlights the performance gains and higher scalability obtained with the use of Amazon EC2 C5n instances and Elastic Fabric Adapter.

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Automations

Hyperion Research Technology Spotlight: Smart Orchestration Speeds HPC Workflows in the Cloud

This paper discusses the importance of cloud orchestration in the context of expanding HPC cloud usage and workflow heterogeneity. In this paper Amazon Web Service (AWS) llustrates how sophisticated cloud orchestration can lead to effieient HPC workflows in the cloud.

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Reference architecture documents

Reference architecture : HPC Lens - Well Architected Framework

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Blogs

AWS HPC Blog channel

You can learn a lot from AWS HPC engineers by following the high performance computing (HPC) blog channel.
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HPC Tech Shorts

You can learn a lot from AWS HPC engineers by subscribing to the high performance computing (HPC) Tech Short YouTube channel
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reInvent Sessions - 2023

reInvent Sessions 2021-2022

reInvent Sessions - 2019-2020

Public data sets

When organizations make data open on AWS, scientists can access and analyze it, delivering innovative solutions to big challenges. AWS makes a variety of Public Data Sets available to researchers and the public, including:

  • Landsat 8: All Landsat 8 scenes from 2015 and onward are made available each day, often within hours of production.
  • NASA NEX: A collection of Earth science data sets maintained by NASA, including climate change projections and satellite images of the Earth's surface.
  • NEXRAD on AWS: Real-time and archival data from the Next Generation Weather Radar (NEXRAD) network.
  • 1000 Genomes Project: This dataset contains the full genomic sequence of 1,700 individuals.
  • The Cancer Genome Atlas (TCGA): Raw and processed genomic, transcriptomic, and epigenomic data from The Cancer Genome Atlas (TCGA) available to qualified researchers via the Cancer Genomics Cloud.
  • The International Cancer Genome Consortium (ICGC): Whole genome sequence data available to qualified researchers via The International Cancer Genome Consortium (ICGC).

See a complete list of Public Datasets available in the AWS Cloud.

AWS Research Initiative

AWS helps researchers process complex workloads by providing the cost-effective, scalable and secure compute, storage, analytics, and artificial intelligence/machine learning capabilities needed to accelerate time-to-science. In addition to cutting edge technology services, AWS provides researchers with access to open data sets, funding resources, and the training critical to stand up their research and accelerate the pace of innovation globally.  Learn more >>

Peering with Global Research Networks

By peering with Global Research Networks, AWS gives researchers robust network connections to the AWS cloud. These network connections allow for reliable movement of data between your home institution, distributed data collection sites, and AWS.

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AWS Cloud Credits for Research Program

The AWS Cloud Credits for Research Program supports researchers who seek to build cloud-hosted publicly available science-as-a-service applications and tools, perform proof of concept tests in the cloud, or train communities on the usage of the cloud for research workloads.

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AWS Global Data Egress Waiver Program

AWS makes cloud budgeting more predictable by waiving data egress fees in the AWS Cloud, for qualified researchers and academic customers. These are fees associated with “data transfer out from AWS to the Internet." Contact your AWS representative to learn more about this program

Next Steps

Learn more about AWS services for HPC

Learn about all the AWS services you can use to build an HPC solution on AWS.
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Get started with HPC on AWS

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