The quest to develop a capable exascale ecosystem is a monumental effort that requires the collaboration of government, academia, and industry.
Achieving exascale will have profound effects on the American people and the world—improving the nation’s economic competitiveness, advancing scientific discovery, and strengthening our national security.
The Exascale Computing Project (ECP) is focused on accelerating the delivery of a capable exascale computing ecosystem that delivers 50 times more computational science and data analytic application power than possible with DOE HPC systems such as Titan (ORNL) and Sequoia (LLNL). With the goal to launch a US exascale ecosystem by 2021, the ECP will have profound effects on the American people and the world.
The ECP is a collaborative effort of two U.S. Department of Energy organizations – the Office of Science (DOE-SC) and the National Nuclear Security Administration (NNSA).
ECP is chartered with accelerating delivery of a capable exascale computing ecosystem to provide breakthrough modeling and simulation solutions to address the most critical challenges in scientific discovery, energy assurance, economic competitiveness, and national security.
This role goes far beyond the limited scope of a physical computing system. ECP’s work encompasses the development of an entire exascale ecosystem: applications, system software, hardware technologies and architectures, along with critical workforce development.
Spack, a Lawrence Livermore National Laboratory-developed open source package manager optimized for high performance computing (HPC), is making waves throughout the HPC community, including internationally, as evidenced by a recent tour of European HPC facilities by the tool’s developers.
January 14–18, 2019, at the Royal Sonesta Houston Galleria, Houston, TX, the 2019 Exascale Computing Project (ECP) Annual Meeting will convene to highlight technical accomplishments that are being enabled by interactions and collaborations within the ECP community.
Jakub Kurzak, a research assistant professor at the University of Tennessee’s Innovative Computing Laboratory, discusses the Software for Linear Algebra Targeting Exascale (SLATE) project on the Let's Talk Exascale podcast.
Scientific applications for high-performance and data analytic computing impact nearly every corner of research and development, from the physics of star explosions to squeezing the last percent of efficiency out of a jet engine.
Accelerate the design and commercialization of next-generation small modular reactors.
Accurately assess the regional impact of climate change.
Increase efficiency and reduce cost of turbine wind plants sited in complex terrains.
Design high-efficiency, low-emission combustion engines and gas turbines.
Biofuel catalysts design; stress-resistant crops.
Accelerate and translate cancer research in RAS pathways, drug responses, and treatment strategies.
Cosmological probe of standard model (SM) of particle physics: inflation, dark matter, and dark energy.
Demystify origin of chemical elements
(> Fe); confirm LIGO gravitational wave and DUNE neutrino signatures.
The ECP is a collaborative effort of the U.S. Department of Energy Office of Science (DOE-SC), and the National Nuclear Security Administration (NNSA) that encompasses applications, system software, hardware technologies and architectures, and workforce development to meet the scientific and national security mission needs of the DOE.
ECP’s leadership team includes some of the brightest minds from the DOE national laboratories, with diverse, collective experience of almost 300 years.
Accelerator complex and central utility building as seen from the top of Wilson Hall at Fermi National Accelerator Laboratory. Photo courtesy of the U.S. Department of Energy.
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