Author Archives: Douglas Edwardson

Cleaner-Burning Gasoline Engines, Cities Powered by Wind, Nuclear Reactors that Fit on a Tabletop—Soon They Could All be within Reach

By Matt Lakin, Oak Ridge National Laboratory When the US Department of Energy (DOE) boots up the world’s first generation of exascale supercomputers next year, researchers hope to find some of the most elusive questions of modern science suddenly closer to being solved. The two machines—Frontier at Oak Ridge National Laboratory (ORNL) in Tennessee and […]

Exascale Computing Project (ECP) Names Berkeley Lab’s Katie Antypas as New Director for Hardware and Integration

The US Department of Energy’s (DOE’s) Exascale Computing Project (ECP) has selected Lawrence Berkeley National Laboratory’s (Berkeley Lab’s) Katie Antypas as its new Director for the project’s Hardware & Integration (HI) Focus Area, effective May 11, 2020. Katie will be replacing Terri Quinn, who is returning to her full-time responsibilities as Deputy Associate Director for […]

Flexible Package Manager Automates the Deployment of Software on Supercomputers

Exascale Computing Project · Episode 67: Flexible Package Manager Automates the Deployment of Software on Supercomputers By Scott Gibson Spack is an open-source product that has become very well known in the high-performance computing (HPC) community because of the value it adds to the software deployment process. It is a flexible package manager for HPC […]

ECP Names New Team Lead for Earth and Space Science

Carol Pott of Lawrence Berkeley National Laboratory writes that Dan Martin, a computational scientist and group lead for the Applied Numerical Algorithms Group in Berkeley Lab’s Computational Research Division, is the new team lead for the Earth and Space Science portfolio within the US Department of Energy’s Exascale Computing Project Application Development focus area. Martin […]

ECP’s ExaWind Project is Featured in Renewable Energy Magazine

ExaWind is addressing the difficulty of developing new simulation capabilities to more accurately predict the complex flow physics of wind farms. A story in Renewable Energy Magazine, written by Jennifer Huber of NERSC, delves into the ExaWind project’s specific science challenge problem, its use of the computational code called Nalu-Wind, and its collaborative team and activities. Read more.

Reducing the Memory Footprint and Data Movement on Exascale Systems

By Scott Gibson As computers have become increasingly powerful and capable of doing ever-greater computations per second, the technology for transferring data and moving it around the memory hierarchy has not kept pace. Consequently, one of the main hurdles to achieving high performance at exascale—the next big leap in computing—is determining how to limit data […]

Collaboration Aims to More Accurately Predict Wind Farm Flow Physics

Jennifer Huber of the National Energy Research Scientific Computing Center (NERSC) writes about how ExaWind, an effort within the US Department of Energy’s Exascale Computing Project (ECP), is advancing our basic understanding of the flow physics that govern wind-plant performance. ExaWind is a collaboration between the National Renewable Energy Laboratory (NREL), Sandia National Laboratories, Oak […]

Stony Brook University Researchers Developing Computer Models to Combat Coronavirus

The work of a team at Stony Brook University could help speed the discovery of drugs to fight the novel coronavirus responsible for COVID-19. The effort involves collaboration with scientists at the US Department of Energy’s Brookhaven National Laboratory and Argonne National Laboratory. Read more at Stony Brook University News.

Developing Predictor Models to Move Fusion Energy Closer to Reality

John Spizzirri at Argonne National Laboratory writes that researchers are combining computer muscle and AI to eliminate disruption of fusion reactions in the production of sustainable clean energy. Read more.

Creating the Ability to Design Smaller, Cheaper Particle Accelerators

By Scott Gibson Particle accelerators—big, expensive machines that produce beams of charged particles—have impacted many areas of fundamental research for decades, supporting Nobel Prize–winning work and advancing the pace of scientific discovery. But soon, smaller and less-expensive particle accelerators could be designed. These improvements would enable the production of tens of thousands of the devices […]

ECP Application Development Milestone Report is Released

The US Department of Energy’s Exascale Computing Project (ECP) has published a milestone report that summarizes the status of all 30 ECP Application Development (AD) subprojects (24 applications and six co-design centers) at the end of fiscal year 2019. ECP leadership and a team of external subject-matter experts in August and September of 2019 conducted a comprehensive assessment of […]

Hewlett Packard Enterprise (HPE) Delves into the Expected Impact of Exascale Computing

An article from HPE in CRSwire  examines the many ways exascale computing is anticipated to solve problems previously out of reach with advances in myriad areas important to society.

Delivering Exascale Machine Learning Algorithms and Tools for Scientific Research

By Scott Gibson Experiments, observations, and computer simulations enable scientists to ask questions and form hypotheses about the natural world that lead to breakthroughs. Now machine learning (ML), artificial intelligence, and data analytics are converging with high-performance computing (HPC) to open up new opportunities for scientific discovery on upcoming exascale computing systems and to influence […]

Collaborative Community Impacts High-Performance Computing Programming Environments

By Scott Gibson LLVM within the US Department of Energy’s (DOE) Exascale Computing Project (ECP) is an open-source collaboration project that develops a compiler infrastructure. Compilers are tools that transform code written by human programmers into the kind of code that computers can run. The LLVM project is complicated and requires an intensive effort from […]

Livermore and HPE to Partner with AMD on El Capitan

Lawrence Livermore National Laboratory (LLNL) and Hewlett Packard Enterprise (HPE) have announced that AMD will be node supplier for the El Capitan supercomputer, which is to be deployed in 2023. The system’s peak performance is expected to exceed 2 exaflops, meaning it will be 10X faster than today’s most powerful supercomputer. The announcement states that […]

Record-Fast System Coming to Support Nation’s Nuclear Security Missions

Hewlett Packard Enterprise (HPE) and AMD have announced that the El Capitan supercomputer to be delivered in 2023 for the National Nuclear Security Administration (NNSA) will clock in at a record-breaking 2-exaflops speed to power complex scientific discovery. This is 10X faster than today’s most powerful system. El Capitan will be used by three NNSA laboratories: […]

Exascale Computing Project Announces Three New Leaders for the Project’s Hardware and Integration Group

Oak Ridge, TN, Feb. 28, 2020—The US Department of Energy’s Exascale Computing Project (ECP) has announced three leadership staff changes within the Hardware and Integration (HI) group. Over the past several months, ECP’s HI team has been adapting its organizational structure and key personnel to prepare for the next phase of exascale hardware and software […]

Helping Applications Leverage Future Computing Architectures with First-Rate Discretization Libraries

By Scott Gibson The Center for Efficient Exascale Discretizations (CEED), one of six co-design centers within the US Department of Energy’s (DOE) Exascale Computing Project (ECP), is a research partnership involving more than thirty computational scientists from two DOE national laboratories and five universities. The co-design centers target crosscutting algorithmic methods that capture the most common patterns of […]

Simplifying the Deployment of High-Performance Computing Tools and Libraries

By Scott Gibson The Extreme-scale Scientific Software Stack (E4S) is a community effort to provide open-source software packages for developing, deploying, and running scientific applications on high-performance computing (HPC) platforms. Sameer Shende of the University of Oregon helps develop E4S under the US Department of Energy’s Exascale Computing Project (ECP) Software Technology (ST) Programming Models and Runtimes […]

Article Offers Recap of Recent Interview with Doug Kothe

An article by Jeffrey Burt in the high-end computing publication The Next Platform analyzes the recent interview by Exascale Computing Project (ECP) Communications Manager Mike Bernhardt with ECP Director Doug Kothe. The piece recaps Kothe’s description of the complex efforts required to develop the components of the software stack and the science applications of the exascale […]

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