REVOLUTIONIZING
HIGH-PERFORMANCE COMPUTING
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.
EXASCALE COMPUTING PROJECT
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.
LATEST NEWS AND INFORMATION
ECP Software Leader Mike Heroux on Building and Sustaining Exascale-Class Codes
ECP Software Discussion with Mike Heroux
ExaFEL and CoPA: Rapid Imaging of Molecular Systems
Using CoPA tools, ExaFEL prevents computational data throughput from bottlenecking experimental progress in x-ray free electron laser facilities.
EXAALT and Kokkos: Making Exascale Simulations of Material Behavior a “SNAP”
Molecular dynamics has become a cornerstone of computational science and is a key component of developing materials with enhanced properties.
ECP Research Focus Areas
Application Development
Software Technology
Hardware and Integration
ECP Research Areas
Capable exascale systems will be able to analyze massive volumes of data in less time, and power the advanced models and simulations required for discovering insights and answers to crucial scientific and technology challenges.
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.
Nuclear Energy
Accelerate the design and commercialization of next-generation small modular reactors.
Climate
Accurately assess the regional impact of climate change.
Wind Energy
Increase efficiency and reduce cost of turbine wind plants sited in complex terrains.
Combustion
Design high-efficiency, low-emission combustion engines and gas turbines.
Chemical Sciences
Biofuel catalysts design; stress-resistant crops.
Precision Medicine for Cancer
Accelerate and translate cancer research in RAS pathways, drug responses, and treatment strategies.
Cosmology
Cosmological probe of standard model (SM) of particle physics: inflation, dark matter, and dark energy.
Astrophysics
Demystify origin of chemical elements
(> Fe); confirm LIGO gravitational wave and DUNE neutrino signatures.
MEET THE ECP
LEADERSHIP TEAM
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.
DISCOVER LIFE AT EXASCALE
What does exascale mean anyway? Learn more about the enormous scale and potential of the next frontier of high-performance computing.
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