“This project will make a substantial contribution to advancing wind energy,” said Steve Hammond, NREL’s Director of Computational Science and the principal investigator on the project. “It will advance our fundamental understanding of the complex flow physics of whole wind plants, which will help further reduce the cost of electricity derived from wind energy.”
Today the Energy Department’s Advanced Manufacturing Office announced up to $3 million in available funding for manufacturers to use high-performance computing resources at the Department’s national laboratories to tackle major manufacturing challenges. The High Performance Computing for Manufacturing (HPC4Mfg) program enables innovation in U.S. manufacturing through the adoption of high performance computing (HPC) to advance applied science and technology in manufacturing, with an aim of increasing energy efficiency, advancing clean energy technology, and reducing energy’s impact on the environment.
“More than just building bigger and faster computers, high-performance computing is about how to build the algorithms and applications that run on these computers,” said School of Computational Science and Engineering (CSE) Associate Professor Edmond Chow. “We’ve brought together the top people in the U.S. with expertise in asynchronous techniques as well as experience needed to develop, test, and deploy this research in scientific and engineering applications.”
“Our collaborative role in these exascale applications projects stems from our laboratory’s long-term strategy in co-design and our appreciation of the vital role of high-performance computing to address national security challenges,” said John Sarrao, associate director for Theory, Simulation and Computation at Los Alamos National Laboratory. “The opportunity to take on these scientific explorations will be especially rewarding because of the strategic partnerships with our sister laboratories.”
Today Argonne announced that the Lab is leading a pair of newly funded applications projects for the Exascale Computing Project (ECP). The announcement comes on the heels of news that ECP has funded a total of 15 application development proposals for full funding and seven proposals for seed funding, representing teams from 45 research and academic organizations.
Paul Messina presented this talk at the HPC User Forum in Austin. “The Exascale Computing Project (ECP) is a collaborative effort of the Office of Science (DOE-SC) and the National Nuclear Security Administration (NNSA). As part of President Obama’s National Strategic Computing initiative, ECP was established to develop a new class of high-performance computing systems whose power will be a thousand times more powerful than today’s petaflop machines.”
Today Lawrence Berkeley National Laboratory announced that LBNL scientists will lead or play key roles in developing 11 critical research applications for next-generation supercomputers as part of DOE’s Exascale Computing Project (ECP).
Charles W. Nakhleh from LANL presented this talk at the 2016 DOE NNSA SSGF Annual Program Review. “This talk will explore some of the future opportunities and exciting scientific and technological challenges in the National Nuclear Security Administration Stockpile Stewardship Program. The program’s objective is to ensure that the nation’s nuclear deterrent remains safe, secure and effective. Meeting that objective requires sustained excellence in a variety of scientific and engineering disciplines and has led to remarkable advances in theory, experiment and simulation.”
“By modeling the power system in depth and detail, NREL has helped reset the conversation about how far we can go operationally with wind and solar in one of the largest power systems in the world,” said the Energy Department’s Charlton Clark, a DOE program manager for the study. “Releasing the production cost model, underlying data, and visualization tools alongside the final report reflects our commitment to giving power system planners, operators, regulators, and others the tools to anticipate and plan for operational and other important changes that may be needed in some cleaner energy futures.”
Miles Lubin from presented this talk at the CSGF Annual Program Review. “JuMP is an open-source software package in Julia for modeling optimization problems. In less than three years since its release, JuMP has received more than 50 citations and has been used in at least 10 universities for teaching. We tell the story of how JuMP was developed, explain the role of the DOE CSGF and high-performance computing, and discuss ongoing extensions to JuMP developed in collaboration with DOE labs.”