Episode 105: Computing Luminary Jack Dongarra’s Perspective On The Exascale Computing Project Exascale Computing Project podcast

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Episode 105: Computing Luminary Jack Dongarra’s Perspective on the Exascale Computing Project

2 jaar geleden 22:15

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Inhoud geleverd door Exascale Computing Project. Alle podcastinhoud, inclusief afleveringen, afbeeldingen en podcastbeschrijvingen, wordt rechtstreeks geüpload en geleverd door Exascale Computing Project of hun podcastplatformpartner. Als u denkt dat iemand uw auteursrechtelijk beschermde werk zonder uw toestemming gebruikt, kunt u het hier beschreven proces https://nl.player.fm/legal volgen.

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.

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105 afleveringen

#Science #Exascale Computing Project

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Episode 105: Computing Luminary Jack Dongarra’s Perspective on the Exascale Computing Project

Exascale Computing Project Podcast

14 subscribers

published 2 jaar geleden

Delen

MP3•Thuis aflevering

Inhoud geleverd door Exascale Computing Project. Alle podcastinhoud, inclusief afleveringen, afbeeldingen en podcastbeschrijvingen, wordt rechtstreeks geüpload en geleverd door Exascale Computing Project of hun podcastplatformpartner. Als u denkt dat iemand uw auteursrechtelijk beschermde werk zonder uw toestemming gebruikt, kunt u het hier beschreven proces https://nl.player.fm/legal volgen.

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.

… continue reading

105 afleveringen

#Science #Exascale Computing Project

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Episode 105: Computing Luminary Jack Dongarra’s Perspective on the Exascale Computing Project 22:15

2 years geleden22:15

22:15

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.

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Episode 104: Siting the El Capitan Exascale Supercomputer at Lawrence Livermore Lab. 31:33

2 years geleden31:33

31:33

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

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Episode 103: Revisiting the CANcer Distributed Learning Environment (CANDLE) Project 21:41

2 years geleden21:41

21:41

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

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Episode 102: Delivering Impactful Science, Deploying Aurora, and Partnering with ECP at the ALCF 31:29

2 years geleden31:29

31:29

Episode notes: Katherine Riley leads a team of computational science experts who work with facility users to maximize their use of ALCF computing resources.

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Episode 101: Discussing NERSC's Unique Global Role and Close Collaboration with ECP 29:39

2 years geleden29:39

29:39

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

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Episode 100: Reflecting on the ‘Why’ behind Supercomputing Simulations: Advancing Science 28:03

2 years geleden28:03

28:03

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

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Episode 99: ECP's WarpX Team Successfully Models Promising Laser Plasma Accelerator Technology 32:14

2 years geleden32:14

32:14

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

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Episode 98: Providing Exascale-Class Multiphysics Simulation Capability to Multiple Science Domains 29:55

2 years geleden29:55

29:55

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

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Episode 97: Enabling Highly Accurate and Reliable Predictions of the Basic Properties of Materials 22:27

3 years geleden22:27

22:27

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

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Episode 96: Leveraging Machine Learning for Computational and Experimental Science and Engineering 18:26

3 years geleden18:26

18:26

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

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Episode 95: Enabling Cross-Project Research to Strengthen Math Libraries for Scientific Simulations 24:23

3 years geleden24:23

24:23

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

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Episode 94: Revisiting the E4S Software Ecosystem Upon Release of Version 22.02 16:34

3 years geleden16:34

16:34

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

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Episode 93: Preparing the PETSc/TAO Software Suite to Support Exascale Scientific Applications 23:15

3 years geleden23:15

23:15

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

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Episode 92: Helping Users Deploy High-Performance Computing Tools and Libraries 10:04

3 years geleden10:04

10:04

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

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Episode 91: Let's Talk Exascale Code Development: CANcer Distributed Learning Environment (CANDLE) 15:42

3 years geleden15:42

15:42

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

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