From HPCwire: LBL’s Kathy Yelick on the Promise and Progress of Exascale Science
LBL's Kathy Yelick on the Promise and Progress of Exascale Science
LBL's Kathy Yelick on the Promise and Progress of Exascale Science
Summit is the next leap in leadership-class computing systems for open science.
Scientists developing applications for exascale systems depend on an intricate set of software that makes the computing system usable and the job of the application developer easier. The broad services this software provides are often collectively referred to as the software stack.
Working with its lab colleagues and partners, Argonne National Laboratory is using its experience and perspective to help frame and support the Exascale Computing Project.
Researchers from Berkeley Lab are co-authors of a paper receiving a best paper award at the June 22 Intel Xeon Phi User's Group workshop.
A team of researchers from the Lawrence Berkeley National Laboratory has developed a new algorithmic framework called multi-tiered iterative phasing that utilizes advanced mathematical techniques to determine 3D molecular structure from very sparse sets of noisy, single-particle data.
A mathematical, or numerical, software library is a collection of algorithms and software that can make the development of scientific applications better, faster, and cheaper. The Extreme-Scale Scientific Software Development Kit project coordinates and enables dependable mathematical software libraries designed and developed for exascale platforms.
Exascale will allow for a new generation of nuclear that works smart on the electric grid and help maximize the efficiency and increase the lifespan of current US nuclear reactors.
Wind is an abundant and secure energy resource and could one day supply up to 30 percent of electrical power in the United States. Scientists have made great improvements in wind turbine efficiency, but to advance wind energy and harness its full potential, they need exascale computing.
Severe weather events are driven by the physics of convection. By simulating convective storms at a high resolution of one kilometer, scientists can improve predictions of regional water cycles.
Featured ECP Lab Partner Update Oak Ridge National Laboratory (ORNL) in Tennessee is the largest US Department of Energy (DOE) science and energy lab and has been home to some
An exascale software discussion with HPC veteran Jack Dongarra Professor Jack Dongarra is one of the distinguished SC Perennials, a group of 13 individuals who have attended each SC conference
HPCwire Covers the Exascale Computing Project: A Presentation by ECP Director, Paul Messina. John Russell provided this thorough recap of ECP Director Paul Messina's opening presentation at the Hyperion Research
In this podcast, the team at Radio Free HPC discusses the Exascale Computing Project. This update is based on a presentation by ECP Director, Paul Messina at the HPC User
LBNL, PNNL Researchers Make NWChem’s Planewave “Purr” on Intel’s Knights Landing Architectures A team of researchers at the Lawrence Berkeley National Laboratory (Berkeley Lab), Pacific Northwest National Laboratory (PNNL)
Remarks Presented at the First ECP Annual Meeting Dr. J. Michael McQuade ECP Industry Council Chair The Exascale Computing Project Knoxville, TN February 1, 2017 (Transcript of Discussion) Why
This presentation was given by ECP Director, Paul Messina, at the first meeting of the ECP Industry Council on March 7, 2017. More information on the ECP Industry Council can
ECP has selected its fifth co-design center. It will focus on graph analytics, combinatorial kernels that play a crucial enabling role in many data analytic computing application areas as well as several ECP applications.
A federally-funded effort to deliver HPC systems 50 times faster than today's supercomputers has added a business perspective to the multi-year development project, which one industry observer said could reduce
The ECP Industry Council is an external advisory group of executives from some of the nation’s most prominent companies with a collaborative interest in bringing the potential of exascale computing