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 104: Siting the El Capitan Exascale Supercomputer at Lawrence Livermore Lab.

May 24th, 2023 31m 33s

Episode notes: Lawrence Livermore National Lab is preparing for El Capitan, the National Nuclear Security Administration’s first exascale supercomputer.

Episode 103: Revisiting the CANcer Distributed Learning Environment (CANDLE) Project

May 3rd, 2023 21m 41s

Episode notes: The CANcer Distributed Learning Environment (CANDLE) project provides deep-learning computing methodologies for accelerating cancer research.

Episode 102: Delivering Impactful Science, Deploying Aurora, and Partnering with ECP at the ALCF

Feb 27th, 2023 31m 29s

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 101: Discussing NERSC's Unique Global Role and Close Collaboration with ECP

Jan 13th, 2023 29m 39s

Episode notes: Richard Gerber ensures the National Energy Research Scientific Computing Center remains responsive to the needs of scientific researchers.

Episode 100: Reflecting on the ‘Why’ behind Supercomputing Simulations: Advancing Science

Dec 16th, 2022 28m 3s

Episode notes: Bronson Messer, director of science for the Oak Ridge Leadership Computing Facility, has an expert perspective on supercomputing for science.

Episode 99: ECP's WarpX Team Successfully Models Promising Laser Plasma Accelerator Technology

Nov 16th, 2022 32m 14s

Episode notes: ECP research could remove a major limitation of laser plasma accelerators, a technology that may improve many walks of life.

Episode 98: Providing Exascale-Class Multiphysics Simulation Capability to Multiple Science Domains

Oct 20th, 2022 29m 55s

Episode notes: Flash-X, a multiphysics simulation software package, integrates tools that provide a performance portability solution for exascale computing.

Episode 97: Enabling Highly Accurate and Reliable Predictions of the Basic Properties of Materials

Jul 28th, 2022 22m 27s

Episode notes: The QMCPACK project intends to provide the capability to find, predict, and control materials and properties at the quantum level.

Episode 96: Leveraging Machine Learning for Computational and Experimental Science and Engineering

Jun 16th, 2022 18m 26s

Episode notes: Machine learning technologies are creating inspiring new opportunity vistas for scientific discovery and research at the exascale.

Episode 95: Enabling Cross-Project Research to Strengthen Math Libraries for Scientific Simulations

May 3rd, 2022 24m 23s

Episode notes: Project teams can improve the capabilities of math libraries, the foundation of scientific simulations, via cross-project research.

Episode 94: Revisiting the E4S Software Ecosystem Upon Release of Version 22.02

Mar 30th, 2022 16m 34s

Episode notes: The Extreme-scale Scientific Software Stack (E4S) continues to evolve as a broad collection of software capabilities for scientific research.

Episode 93: Preparing the PETSc/TAO Software Suite to Support Exascale Scientific Applications

Mar 9th, 2022 23m 15s

Episode notes: An Exascale Computing Project team is getting the longtime open-source PETSc/TAO software suite ready to support exascale applications.

Episode 92: Helping Users Deploy High-Performance Computing Tools and Libraries

Dec 14th, 2021 10m 4s

Episode notes: The latest version of the Extreme-scale Scientific Software Stack (E4S) provides support for three different GPU architectures.

Episode 91: Let's Talk Exascale Code Development: CANcer Distributed Learning Environment (CANDLE)

Dec 7th, 2021 15m 42s

Episode notes: ECP plays key support roles in the CANDLE project, which is addressing three significant science challenge problems in cancer research.

Episode 90: Frontier: Designing the Electrical Infrastructure for Unprecedented Power Demands

Nov 2nd, 2021 12m 17s

Episode Notes: Effective communications, humble problem-solving, lessons learned, and synergy are success factors in realizing the Frontier supercomputer.

Episode 89: Helping Large-Scale Multiphysics Engineering and Scientific Applications

Oct 29th, 2021 25m 54s

Episode Notes: Trilinos, a federated group of software packages with guiding principles, offers much autonomy in solving engineering and science problems.

Episode 88: Frontier: Guiding the Design and Construction of the Mechanical Systems

Oct 22nd, 2021 13m 26s

Episode Notes: Engineer David Grant must check and recheck many important design details before Frontier, the nation’s first exascale supercomputer, is powered on.

Episode 87: Frontier: ORNL’s Justin Whitt on Deploying the Nation’s First Exascale Supercomputer

Oct 18th, 2021 9m 37s

Episode Notes: Justin Whitt describes what Frontier will do, why it's unique, progress with deployment, what’s special about exascale computing, and more.

Episode 86: An Interview with Exascale Computing Project Director Doug Kothe

Oct 17th, 2021 24m 1s

Episode Notes: Doug Kothe explains the need for ECP, the why and how of its origin, its unique team dynamics, and its enduring legacy.

Episode 85: Sunita Chandrasekaran on Teaching Supercomputing and Leading the ECP SOLLVE Project

Oct 4th, 2021 18m 52s

Episode Notes: As principal investigator of the ECP SOLLVE project, Sunita Chandrasekaran emphasizes the development of sustainable software.

Episode 84: The Flux Software Framework Manages and Schedules Modern Supercomputing Workflows

Sep 13th, 2021 35m 4s

Episode Notes: Flux manages and schedules scientific workflows to optimize computing and other resources and enable applications to run faster and better.

Episode 83: Optimizing North American Power Grid to Improve Reliability and Grid Decarbonization

Jul 29th, 2021 13m 21s

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 82: Let’s Talk Exascale Code Development: WDMapp—XGC, GENE, GEM

Jul 9th, 2021 49m 13s

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.