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.
Lawrence Berkeley National Laboratory's David McCallen, a researcher from the Exascale Computing Project, on April 17 spoke at the 69th HPC User Forum in Tucson, Arizona, about exascale simulations for regional-scale earthquake hazard and risk.
Responsible for delivering science-based applications able to exploit exascale for high-confidence insights and answers to critical problems in national security, energy assurance, economic competitiveness, and health care.
Concentrates on developing a comprehensive and coherent software stack that will enable application developers to productively write highly parallel applications that can portably target diverse exascale architectures.
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.