Getting Computing Luminary Jack Dongarra’s Perspective on the Exascale Computing Project
Jack Dongarra says ECP has been a great success in terms of human and technical accomplishments but post-project follow-on is critical.
Jack Dongarra says ECP has been a great success in terms of human and technical accomplishments but post-project follow-on is critical.
Lawrence Livermore National Lab is preparing for El Capitan, the National Nuclear Security Administration’s first exascale supercomputer.
The CANcer Distributed Learning Environment (CANDLE) project provides deep-learning computing methodologies for accelerating cancer research.
Katherine Riley leads a team of computational science experts who work with facility users to maximize their use of ALCF computing resources.
Richard Gerber ensures the National Energy Research Scientific Computing Center remains responsive to the needs of scientific researchers.
Bronson Messer, director of science for the Oak Ridge Leadership Computing Facility, has an expert perspective on supercomputing for science.
ECP research could remove a major limitation of laser plasma accelerators, a technology that may improve many walks of life.
Flash-X, a multiphysics simulation software package, integrates tools that provide a performance portability solution for exascale computing.
The QMCPACK project intends to provide the capability to find, predict, and control materials and properties at the quantum level.
Machine learning technologies are creating inspiring new opportunity vistas for scientific discovery and research at the exascale.
Project teams can improve the capabilities of math libraries, the foundation of scientific simulations, via cross-project research.
The Extreme-scale Scientific Software Stack (E4S) continues to evolve as a broad collection of software capabilities for scientific research.
An Exascale Computing Project team is getting the longtime open-source PETSc/TAO software suite ready to support exascale applications.
As the US Department of Energy’s (DOE) Exascale Computing Project (ECP) has evolved since its inception in 2016, what’s known as containers technology
The latest version of the Extreme-scale Scientific Software Stack (E4S) provides support for three different GPU architectures.
ECP plays key support roles in the CANDLE project, which is addressing three significant science challenge problems in cancer research.
Effective communications, humble problem-solving, lessons learned, and synergy are success factors in realizing the Frontier supercomputer.
Trilinos, a federated group of software packages with guiding principles, offers much autonomy in solving engineering and science problems.
Engineer David Grant must check and recheck many important design details before Frontier, the nation’s first exascale supercomputer, is powered on.
Justin Whitt describes what Frontier will do, why it's unique, progress with deployment, what’s special about exascale computing, and more.