Focus Area: Application Development

ECP Application Will Deliver Molecular Movies in Minutes

ExaFEL will enable quicker analysis of data from SLAC’s x-ray laser to help understand everything from viruses to materials.

ECP Advances the Science of Atmospheric Convection Modeling

Researchers have developed a multiscale modeling framework to refine cloud renderings in E3SM climate simulations on GPU-accelerated machines.

2021 Application Development Milestone Report

The Exascale Computing Project milestone report summarizes the status of all 30 ECP Application Development subprojects at the end of FY20.

The History of the Exascale Project and How Frontier Solves the Four Exascale Challenges

Al Geist on the history of the Exascale Computing Project

Let’s Talk Exascale Code Development: WDMapp—XGC, GENE, GEM

The latest in the code-for-Aurora series explores an app aimed at high-fidelity whole device modeling of magnetically confined fusion plasmas.

Applying Graph Algorithms to Solve Key Science Problems of Importance to the Nation

ExaGraph aims to leave a lasting legacy of algorithms, implementations, and graph-enabled applications for scientific discovery.

Exascale Computing Project Portfolio Presentation Videos

The Exascale Computing Project has made available a compilation of brief, high-level presentations about some of its project portfolios.

More-Effective Medicines, Better Batteries, and Greater Control over 3D Parts Creation Could Come in the Era of Exascale Computing

The Exascale Computing Project is building scientific instruments for the gamut of computing devices to advance scientific knowledge and materials design and energy generation.

Developing a Codebase for Deep Learning on Supercomputers to Fight Cancer

Gina Tourassi discusses the Oak Ridge National Laboratory effort within the Exascale Deep Learning–Enabled Precision Medicine for Cancer (CANDLE) project.

Aiming to be among the First Applications to Run at Exascale

The ExaSky project conducts extreme-scale simulations to further our understanding of the makeup and evolution of the universe.

ECP Researcher Earns Esteemed Presidential Early Career Award

Jordan Musser of the National Energy Technology Laboratory and ECP is among more than 300 early-career researchers to earn a White House award.

Exascale Computing Could Drastically Boost the Capabilities of Energy Applications

Tom Evans, technical lead for ECP's Energy Applications projects, shares about the motivations, progress, and aspirations on the path to the exascale.

The Anticipated Scientific Impact of Exascale: Fusion Energy, X-Ray Free-Electron Lasers, Quantum Chromodynamics

A few research project leaders share what they hope exascale computing will make possible.

Recent Success Snapshots: Application Highlight Roundup

Narrative snapshots in time chronicle highlights of some of the Application Development efforts within ECP.

ECP Speakers at User Forum

April 1–3 at the HPC User Forum in Santa Fe, NM, team members from the Exascale Computing Project (ECP) gave talks on the ExaLearn Co-Design Center and activities in the development of software technologies. The videos were captured and published by the high-performance computing Industry blog insideHPC.

Exawind Project Demonstrates Blade-Resolved Simulation of NREL 5 MW Reference Wind Turbine

HPCwire October 25, 2018 https://www.hpcwire.com/off-the-wire/exawind-project-demonstrates-blade-resolved-simulation-of-nrel-5-mw-reference-wind-turbine/

AMRex Co-Design Center Helps Five Application Projects Reach Performance Goals

ECP's AMReX Co-Design Center makes available a state-of-the-art AMR infrastructure with the functionality that five ECP application projects and other

Spotlight on ECP’s Cancer Distributed Learning Environment (CANDLE) Project

In a video chat, Rick Stevens, principal investigator for the Cancer Distributed Learning Environment (CANDLE) project within ECP, shares information about, and highlights from, CANDLE, a collaborative effort involving four US Department of Energy national laboratories.

ECP Announces New Co-Design Center to Focus on Exascale Machine Learning Technologies

New ExaLearn Co-Design Center to be led by Brookhaven National Laboratory's Francis (Frank) Alexander. The Exascale Computing Project has initiated its sixth Co-Design Center, ExaLearn, to be led by Principal

ECP: Shaking Things up With Earthquake Simulation

Lawrence Livermore and Lawrence Berkeley national laboratory scientists have used some of the world’s most powerful supercomputers to model ground

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