Sept. 21, 2022 — Today, the U.S. Department of Energy (DOE) announced $30 million in funding for five projects in computation and simulation techniques and tools to understand the universe via collaborations that enable effective use of DOE high-performance computers. The Scientific Discovery through Advanced Computing (SciDAC) partnership in high energy physics brings together applied mathematicians and […]
DOE SciDAC: $30M Awarded to 5 National Labs for Research on High Energy Physics through Advanced Computing
September 21, 2022 by
DOE: $35M for Scientific Discovery through Advanced Computing Partnership in Nuclear Physics
September 6, 2022 by
Sept. 6, 2022 — Today, the U.S. Department of Energy (DOE) announced $35 million for three joint projects in Nuclear Physics (NP) and Advanced Scientific Computing Research (ASCR) via a partnership program of Scientific Discovery through Advanced Computing (SciDAC). The NP SciDAC program brings together experts in nuclear physics research with experts in software development, applied […]
DOE Picks Los Alamos Lab for $9.25M Nuclear Energy Research HPC Project
August 10, 2022 by
The U.S. Department of Energy (DOE) has announced the selection of Los Alamos National Laboratory (LANL) to lead a $9.25 million, five-year collaborative project in nuclear energy research through the Scientific Discovery through Advanced Computing (SciDAC) program. SciDAC brings together researchers in science and energy with those in software development, applied mathematics, and computer science […]
DOE: $9.25M for Research through Advanced Computing (SciDAC) Partnership in Nuclear Energy
December 15, 2021 by
The U.S. Department of Energy (DOE) has announced $9.25 million for research in the behavior and properties of structural materials under molten salt reactor conditions, via collaborations that enable effective use of DOE’s high performance computers. Scientific Discovery through Advanced Computing (SciDAC) brings together experts in key areas of science and energy research with experts […]
DOE: Applications Open for $70M for Scientific Discovery through Advanced Computing (SciDAC)
November 23, 2021 by
Nov. 23, 2021 — Today, the U.S. Department of Energy (DOE) announced plans to provide $70 million for research in earth system model development, which will contribute to further development of the Energy Exascale Earth System Model (E3SM) through collaborations that will use DOE high performance computers (HPC) to enable advanced modeling via mathematical and computational solutions. […]
SciDAC: DOE Funding $30M Opportunity Using HPC for High Energy Physics Research
November 3, 2021 by
Today, the U.S. Department of Energy (DOE) announced $30 million for research in computation and simulation techniques and tools “to understand the universe via collaborations that enable effective use of DOE high performance computers.” Scientific Discovery through Advanced Computing (SciDAC) brings together researchers in areas of science and energy with experts in software development, applied mathematics, […]
DOE Funds $28M for Scientific Supercomputing Research Projects
July 16, 2021 by
The U.S. Department of Energy (DOE) today announced $28 million in funding for five research projects to develop software designed to better leverage DOE supercomputers in fields such as quantum information science and chemical reactions for clean energy applications. A list of projects can be found here. The projects are sponsored by the Offices of Advanced Scientific Computing […]
SUPER Project Aims at Efficient Supercomputing for Scientists
August 21, 2015 by
“SUPER builds on past successes and now includes research into performance auto-tuning, energy efficiency, resilience, multi-objective optimization, and end-to-end tool integration. Leading the project dovetails neatly with Oliker’s research interests, which include optimization of scientific methods on emerging multi-core systems, ultra-efficient designs of domain-optimized computational platforms and performance evaluation of extreme-scale applications on leading supercomputers.”
