Monthly Archives: September 2018

AMRex Co-Design Center Helps Five Application Projects Reach Performance Goals

ECP's AMReX Co-Design Center makes available a state-of-the-art AMR infrastructure with the functionality that five ECP application projects and other AMR applications use to be able to effectively take advantage of current and future architectures.

Spotlight on ECP’s Cancer Distributed Learning Environment (CANDLE) Project

In a video chat, Rick Stevens, principal investigator for the Cancer Distributed Learning Environment (CANDLE) project within ECP, shares information about, and highlights from, CANDLE, a collaborative effort involving four US Department of Energy national laboratories.

Spack, a Lab-Developed ‘App Store for Supercomputers,’ Becoming Standard-Bearer

Spack, a Lawrence Livermore National Laboratory-developed open source package manager optimized for high performance computing (HPC), is making waves throughout the HPC community, including internationally, as evidenced by a recent tour of European HPC facilities by the tool’s developers.

2019 ECP Annual Meeting to Highlight Technical Successes, Emphasize Collaboration and Integration

January 14–18, 2019, at the Royal Sonesta Houston Galleria, Houston, TX, the 2019 Exascale Computing Project (ECP) Annual Meeting will convene to highlight technical accomplishments that are being enabled by interactions and collaborations within the ECP community.

Converging and Consolidating Algorithmic and Technology Innovation in Dense Linear Algebra Software

Jakub Kurzak, a research assistant professor at the University of Tennessee’s Innovative Computing Laboratory, discusses the Software for Linear Algebra Targeting Exascale (SLATE) project on the Let's Talk Exascale podcast.

A Discussion with ECP’s Director—August 2018

Exascale Computing Project (ECP) Director Doug Kothe talks with ECP Communications Manager Mike Bernhardt about some of the project’s most recent accomplishments.

How Exascale Computing Will Enable Born-Qualified AM Parts

ExaAM, a high-fidelity simulation tool, promises to reduce trial-and-error in additive manufacturing and help create metal 3D-printed parts that are qualified from the beginning.

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