Exascale Computing Project Contributes to Accelerating Cancer Research
The Exascale Computing Project's CANDLE application will improve cancer research techniques and clinical outcomes
The Exascale Computing Project's CANDLE application will improve cancer research techniques and clinical outcomes
Exascale to Model Fusion Energy
ALCC Program Seeks Proposals for 2024
The Exascale Era is here.
Exascale Computing Project to be Highlighted in a Panel Discussion on the Impact of Exascale to Industry
Aurora Early Science Program: Speeding Up Discovery of New Catalysts for Clean Energy
Lawrence Livermore National Laboratory’s Lori Diachin will take over as director of the Department of Energy’s Exascale Computing Project on June 1
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.
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.
Osni Marques, a staff scientist at Lawrence Berkeley National Laboratory, has been tapped to lead ECP Training & Productivity.
Ashley Barker will step down as lead of ECP's Training & Productivity for new duties at the Oak Ridge Leadership Computing Facility.
ECP's Birds-of-a-Feather Days, May 10–12, will give developers the chance to learn about leading-edge software and performance-analysis tools.
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.
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.