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Exascale Computing Project Update

Doug Kothe from the Exascale Computing Project gave this talk at the HPC User Forum. “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.”

Exascale CANDLE Project to Fight Against Cancer

The CANcer Distributed Learning Environment, or CANDLE, is a cross-cutting initiative of the Joint Design of Advanced Computing Solutions for Cancer collaboration and is supported by DOE’s Exascale Computing Project (ECP). CANDLE is building a scalable deep learning environment to run on DOE’s most powerful supercomputers. The goal is to have an easy-to-use environment that can take advantage of the full power of these systems to find the optimal deep-learning models for making predictions in cancer.

Podcast: ExaStar Project Seeks Answers in Cosmos

In this podcast, Daniel Kasen from LBNL and Bronson Messer of ORNL discuss advancing cosmology through EXASTAR, part of the Exascale Computing Project. “We want to figure out how space and time get warped by gravitational waves, how neutrinos and other subatomic particles were produced in these explosions, and how they sort of lead us down to a chain of events that finally produced us.”

Video: Update on the Exascale Computing Project

In this video, ECP Director Doug Kothe provides an update on the Exascale Computing Project. ECP has mission to ensure that a capable exascale computing ecosystem will come to fruition with the arrival of the nation’s first exascale systems. “Enduring legacy translates to having dozens of application technologies that will be used to tackle some of the toughest problems in DOE and the nation, and so the applications are now going to be positioned to address their challenge problems and in many cases help solve them or be a part of the solution.”

Podcast: How Exascale Computing Could Help Boost Energy Production

In this podcast, Tom Evans, technical lead for ECP’s Energy Applications projects, shares about the motivations, progress, and aspirations on the path to the exascale. “Evans describes the unprecedented calculations expected at the exascale, the example of taking wind energy simulations much further, and the movement toward the use of more-general-purpose programming tools.”

Video: Readying Quantum Chromodynamics for Exascale

In this video, Fermilab scientist Andreas Kronfeld discusses the LatticeQCD project for Quantum Chromodynamics. As part of the Exascale Computing Project, LatticeQCD is increasing the precision of QCD calculations to understand the properties of quarks and gluons in the Standard Model of particle physics, a theory that clarifies the basic building blocks (or fundamental particles) of the universe and how they are related.

Video: The Exascale Computing Project and the Future of HPC

Doug Kothe from ORNL presented this ACM Tech Talk in April, 2019. “The ECP is designing the software infrastructure to enable the next generation of supercomputers—systems capable of more than 1018 operations per second—to effectively and efficiently run applications that address currently intractable problems of strategic importance. The ECP is creating and deploying an expanded and vertically integrated software stack on DOE HPC exascale and pre-exascale systems, thereby defining the enduring US exascale ecosystem.”

ExaLearn: The ECP Co-Design Center for Machine Learning

In this video from the HPC User Forum, Frank Alexander from Brookhaven National Laboratory presents: ExaLearn – ECP Co-Design Center for Machine Learning. “It is increasingly clear that advances in learning technologies have profound societal implications and that continued U.S. economic leadership requires a focused effort, both to increase the performance of those technologies and to expand their applications. Linking exascale computing and learning technologies represents a timely opportunity to address those goals.”

Exascale Computing Project Software Activities

Mike Heroux from Sandia National Labs gave this talk at the HPC User Forum. “The Exascale Computing Project is accelerating delivery of a capable exascale computing ecosystem for breakthroughs in scientific discovery, energy assurance, economic competitiveness, and national security.The goal of the ECP Software Technology focus area is to develop a comprehensive and coherent software stack that will enable application developers to productively write highly parallel applications that can portably target diverse exascale architectures.”

Podcast: How the EZ Project is Providing Exascale with Lossy Compression for Scientific Data

In this podcast, Franck Cappello from Argonne describes EZ, an effort to effort to compress and reduce the enormous scientific data sets that some of the ECP applications are producing. “There are different approaches to solving the problem. One is called lossless compression, a data-reduction technique that doesn’t lose any information or introduce any noise. The drawback with lossless compression, however, is that user-entry floating-point values are very difficult to compress: the best effort reduces data by a factor of two. In contrast, ECP applications seek a data reduction factor of 10, 30, or even more.”