The Exascale Computing Project (ECP) is accelerating delivery of a capable exascale computing ecosystem to provide breakthrough solutions that will address America's most critical challenges in scientific discovery, energy assurance, economic competitiveness, and national security. Let’s Talk Exascale explores Application Development, Software Technology, and Hardware and Integration—focus areas of the ECP.
Episode notes: Jack Dongarra says ECP has been a great success in terms of human and technical accomplishments but post-project follow-on is critical.
Episode notes: Lawrence Livermore National Lab is preparing for El Capitan, the National Nuclear Security Administration's first exascale supercomputer.
Episode notes: The CANcer Distributed Learning Environment (CANDLE) project provides deep-learning computing methodologies for accelerating cancer research.
Episode notes: Katherine Riley leads a team of computational science experts who work with facility users to maximize their use of ALCF computing resources.
Episode notes: Richard Gerber ensures the National Energy Research Scientific Computing Center remains responsive to the needs of scientific researchers.
Episode notes: Bronson Messer, director of science for the Oak Ridge Leadership Computing Facility, has an expert perspective on supercomputing for science.
Episode notes: ECP research could remove a major limitation of laser plasma accelerators, a technology that may improve many walks of life.
Episode notes: Flash-X, a multiphysics simulation software package, integrates tools that provide a performance portability solution for exascale computing.
Episode notes: The QMCPACK project intends to provide the capability to find, predict, and control materials and properties at the quantum level.
Episode notes: Machine learning technologies are creating inspiring new opportunity vistas for scientific discovery and research at the exascale.
Episode notes: Project teams can improve the capabilities of math libraries, the foundation of scientific simulations, via cross-project research.
Episode notes: The Extreme-scale Scientific Software Stack (E4S) continues to evolve as a broad collection of software capabilities for scientific research.
Episode notes: An Exascale Computing Project team is getting the longtime open-source PETSc/TAO software suite ready to support exascale applications.
Episode notes: The latest version of the Extreme-scale Scientific Software Stack (E4S) provides support for three different GPU architectures.
Episode notes: ECP plays key support roles in the CANDLE project, which is addressing three significant science challenge problems in cancer research.
Episode Notes: Effective communications, humble problem-solving, lessons learned, and synergy are success factors in realizing the Frontier supercomputer.
Episode Notes: Trilinos, a federated group of software packages with guiding principles, offers much autonomy in solving engineering and science problems.
Episode Notes: Engineer David Grant must check and recheck many important design details before Frontier, the nation's first exascale supercomputer, is powered on.
Justin Whitt describes what Frontier will do, why it's unique, progress with deployment, what's special about exascale computing, and more.
Doug Kothe explains the need for ECP, the why and how of its origin, its unique team dynamics, and its enduring legacy.
Episode Notes: As principal investigator of the ECP SOLLVE project, Sunita Chandrasekaran emphasizes the development of sustainable software.
Episode Notes: Flux manages and schedules scientific workflows to optimize computing and other resources and enable applications to run faster and better.
Episode Notes: The ExaSGD project wants to enable the day-to-day operation of the national power grid to hold a large number of renewable power sources.
Episode Notes: The latest in the code-for-Aurora series explores an app aimed at high-fidelity whole device modeling of magnetically confined fusion plasmas.
Episode Notes: ExaGraph aims to leave a lasting legacy of algorithms, implementations, and graph-enabled applications for scientific discovery.
Episode Notes: Exascale Computing Project Director Doug Kothe discusses the state of the project, the recent Annual Meeting, and other topics.
Episode Notes: This time, ECP's special podcast series on preparing code for the Aurora exascale supercomputer takes a look at the cosmological code HACC.
Episode Notes: The Exascale Computing Project Software Deployment at Facilities project tests and verifies software functionality and efficiency.
Episode Notes: ECP’s podcast series on preparing code for the Aurora exascale system begins by focusing on an earthquake risk assessment application.
Episode Notes: Simulating earthquake processes from end to end is key to being able to design bridges and buildings to be more resilient to earthquakes.
Episode Notes: ECP's Data and Visualization portfolio is delivering data management software to store, save state, share, and facilitate the analysis of exascale data.
The EXAALT project could bring atomistic materials predictions to the engineering scale and demystify materials design and synthesis.
Episode Notes: Intel executive Trish Damkroger shares her excitement over exascale computing and the design of the Aurora supercomputer.
Episode Notes: Members of the Exascale Computing Project leadership team summarize the state of the project and delve into the major accomplishments.
Episode Notes: Exascale computing could help researchers prepare promising carbon-capture and storage technologies to go from the lab to commercial settings.
Episode Notes: By exploiting the power and performance advantages of GPUs and exascale computing, researchers aim to better predict changes to Earth’s water cycles.
Episode Notes: The Center for Efficient Exascale Discretizations (CEED) recently released version 4.1 of its MFEM software, with features for exascale.
Episode Notes: John Turner of Oak Ridge National Laboratory provides a look at additive manufacturing and the ExaAM project from different angles.
Episode Notes: Spack (Supercomputer PACKage manager) is an R&D 100–Award winner because of its worldwide impact on high-performance computing.
Episode Notes: The ZFP software development effort is tackling the critical task of overcoming the performance cost of data movement for exascale computing.
Episode Notes: Container technology has provided greater software flexibility, reliability, ease of deployment, and portability—an ECP project aims to deliver it for exascale computing systems.
Episode Notes: The WarpX project is developing an exascale application for plasma accelerator research to pave the way for new virtual experiments.
Episode Notes: Machine learning, artificial intelligence, and data analytics are converging with high-performance computing to advance scientific discovery.
Episode Notes: LLVM within the US Department of Energy’s Exascale Computing Project is an open-source collaboration project that develops a compiler infrastructure.
Episode Notes: The Center for Efficient Exascale Discretizations (CEED) is a hub for high-order mathematical methods to increase application efficiency and performance.
The Extreme-scale Scientific Software Stack (E4S) lowers barriers by accelerating the development, deployment, and use of software.
Episode Notes: CODAR, an Exascale Computing Project co-design center, aims to produce an infrastructure for online data analysis and reduction.
Episode Notes: Disciplined and tailored project management led to very impressive results for ECP in a comprehensive independent review.
Episode Notes: DTK and ArborX technologies enable researchers to focus more on their science rather than on low-level algorithms in simulations.
Episode Notes: ECP Earth and Space Science teams are producing sophisticated tools for large-scale scientific discoveries.
Episode Notes: A collaborative team is working to get NWChem ready to run on exascale machines and to provide a starting point for future code development.
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