Paul Messina from Argonne presented this talk at the HPC User Forum in Santa Fe. “The Exascale Computing Project (ECP) was established with the goals of maximizing the benefits of HPC for the United States and accelerating the development of a capable exascale computing ecosystem. 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).”
Today the Department of Energy’s Innovative and Novel Computational Impact on Theory and Experiment (INCITE) program announced it is accepting proposals for high-impact, computationally intensive research campaigns in a broad array of science, engineering, and computer science domains. DOE’s Office of Science plans to award over 6 billion supercomputer processor-hours at Argonne National Laboratory and […]
“In this keynote, Al Geist will discuss the need for future Department of Energy supercomputers to solve emerging data science and machine learning problems in addition to running traditional modeling and simulation applications. The ECP goals are intended to enable the delivery of capable exascale computers in 2022 and one early exascale system in 2021, which will foster a rich exascale ecosystem and work toward ensuring continued U.S. leadership in HPC. He will also share how the ECP plans to achieve these goals and the potential positive impacts for OFA.”
A team of researchers at Berkeley Lab, PNNL, and Intel are working hard to make sure that computational chemists are prepared to compute efficiently on next-generation exascale machines. Recently, they achieved a milestone, successfully adding thread-level parallelism on top of MPI-level parallelism in the planewave density functional theory method within the popular software suite NWChem. “Planewave codes are useful for solution chemistry and materials science; they allow us to look at the structure, coordination, reactions and thermodynamics of complex dynamical chemical processes in solutions and on surfaces.”
“I’m pleased to have the opportunity to lead this important Council,” said Dr. J. Michael McQuade of United Technologies Corporation, who will serve as the first Chair of the ECP Industry Council. “Exascale level computing will help industry address ever more complex, competitively important problems, ones which are beyond the reach of today’s leading edge computing systems. We compete globally for scientific, technological and engineering innovations. Maintaining our lead at the highest level of computational capability is essential for our continued success.”
HPC4Mfg will host their first annual High Performance Computing for Manufacturing Industry Engagement Day on March 2-3 in San Diego. With a theme of “Spurring Innovation in U.S. Manufacturing Through Advanced Computing,” the conference will bring together representatives from U.S. manufacturing, national laboratories, universities, and consortiums to discuss the recent advancements in manufacturing realized through the application of HPC and how leveraging HPC expertise through public-private partnerships has lowered the risk of adoption.
Ian Foster and other researchers in CODAR are working to overcome the gap between computation speed and the limitations in the speed and capacity of storage by developing smarter, more selective ways of reducing data without losing important information. “Exascale systems will be 50 times faster than existing systems, but it would be too expensive to build out storage that would be 50 times faster as well,” said Foster. “This means we no longer have the option to write out more data and store all of it. And if we can’t change that, then something else needs to change.”
A new study led by a research scientist at the Department of Energy’s Lawrence Berkeley National Laboratory (Berkeley Lab) highlights a literally shady practice in plant science that has in some cases underestimated plants’ rate of growth and photosynthesis, among other traits. “More standardized fieldwork, in parallel with new computational tools and theoretical work, will contribute to better global plant models,” Keenan said.
Today the DOE Exascale Computing Project announced the following changes to their strategic plan. The ECP project now plans to deploy the first Exascale system in the U.S. in 2021, a full 1-2 years earlier than previously planned. This system will be built from a “novel architecture” that will be put out for bid in the near future. According to Argonne’s Paul Messina, Director, Exascale Computing Project, “It won’t be something out there like quantum computing, but we are looking for new ideas in terms of processing and networking technologies for the machine.”
Today the Department of Energy’s Exascale Computing Project (ECP) today announced that it has selected four co-design centers as part of a 4 year, $48 million funding award. The first year is funded at $12 million, and is to be allocated evenly among the four award recipients. “By targeting common patterns of computation and communication, known as “application motifs”, we are confident that these ECP co-design centers will knock down key performance barriers and pave the way for applications to exploit all that capable exascale has to offer.”