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EXAALT and Kokkos: Making Exascale Simulations of Material Behavior a “SNAP”

Molecular dynamics has become a cornerstone of computational science and is a key component of developing materials with enhanced properties.

Building a Capable Computing Ecosystem for Exascale and Beyond

The Exascale Era is here.

EXAALT-ing Molecular Dynamics to the Power of Exascale

New methods maximizing the accuracy, length, and time space on exascale machines could revolutionize molecular dynamics simulations.

Siting the El Capitan Exascale Supercomputer at Lawrence Livermore National Laboratory

Lawrence Livermore National Lab is preparing for El Capitan, the National Nuclear Security Administration’s first exascale supercomputer.

Revisiting the CANcer Distributed Learning Environment (CANDLE) Project

The CANcer Distributed Learning Environment (CANDLE) project provides deep-learning computing methodologies for accelerating cancer research.

ECP and ALCF to Host Twitter Chat June 21

June 21 at 2 p.m. Eastern, ECP and the Argonne Leadership Computing Facility will host a Twitter Chat on the Extreme-scale Scientific Software Stack.

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.

Supporting Scientific Discovery and Data Analysis in the Exascale Era

ECP's Data and Visualization portfolio is delivering data management software to store, save state, share, and facilitate the analysis of exascale data.

Collaborative Strength Enables the EXAALT Project to Optimize GPU Performance

The EXAALT project could bring atomistic materials predictions to the engineering scale and demystify materials design and synthesis.

ExaAM Project Aims to Transform Additive Manufacturing through Exascale Simulation

In the latest episode of the Let's Talk Exascale podcast, John Turner of Oak Ridge National Laboratory provides a look at additive manufacturing and the ExaAM project from different angles.

Delivering Exascale Machine Learning Algorithms and Tools for Scientific Research

Machine learning, artificial intelligence, and data analytics are converging with high-performance computing to advance scientific discovery.

Livermore and HPE to Partner with AMD on El Capitan

Lawrence Livermore National Laboratory and Hewlett Packard Enterprise (HPE) have announced that AMD will be node supplier for the El Capitan supercomputer, and that the system is expected to exceed 2 exaflops.

Record-Fast System Coming to Support Nation’s Nuclear Security Missions

Hewlett Packard Enterprise (HPE) and AMD have announced that the El Capitan supercomputer, planned for 2023, will have a speed of 2 exaflops to power complex scientific discovery for the US Department of Energy's National Nuclear Security Administration (NNSA).

Better Scientific Productivity through Better Scientific Software: The IDEAS Report

A newly released report introduces work to advance software productivity and sustainability for extreme-scale computational science.

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.

Method Enables Collaborative Software Teams to Enhance Effectiveness and Efficiency

Productivity Sustainability Improvement Planning enables software developers to identify development bottlenecks and track progress to overcome them.

ECP Team Reengineers Materials Simulation Code, Achieves Atypical Performance Increase

The EXAALT project has made a big step forward with a five-fold performance advance in addressing its fusion energy materials simulations challenge problem.

Recent Success Snapshots: Application Highlight Roundup

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

Codes to Solve Multiphysics Problems

The Ristra project, which is creating a set of codes targeting national-security-relevant multiphysics problems, is making solid progress both in terms of the physics needs and in demonstrating new computer science technologies.

Comprehensive Molecular Dynamics Capability

The EXAALT project is working to improve molecular dynamics codes and prepare them to exploit the power and performance of exascale.

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