HPC News

Upgrades for LLNL supercomputer from AMD, Penguin Computing aid COVID-19 research

April 21, 2020

Under a new agreement, AMD will supply upgraded graphics accelerators for Lawrence Livermore National Laboratory’s Corona supercomputing cluster, expected to nearly double the system’s peak compute power. 

read more about supercomputer upgrades aiding COVID-19 research

Coronavirus model

New partnership to Unleash U.S. Supercomputing Resources in the Fight Against COVID-19

March 23, 2020

The White House announced the launch of the COVID-19 HPC Consortium to provide COVID-19 researchers worldwide with access to the world’s most powerful high performance computing resources that can significantly advance the pace of scientific discovery in the fight to stop the virus.

read more about our COVID-19 response

Magma Supercomputer

LLNL Highlights Magma’s Role in NNSA’s Computing Arsenal

March 11, 2020

This week, LLNL highlighted one of the latest additions to its computing arsenal: Magma. Magma is a Penguin Computing “Relion” system comprised of 752 nodes with Intel Xeon Platinum 9242 (Cascade Lake-AP) processors. The cluster has 293 terabytes of memory, liquid cooling provided by CoolIT Systems and an Intel Omni-Path interconnect.

read more about Magma

LLNL and HPE to partner with AMD on El Capitan, Projected as World’s Fastest Supercomputer

March 4, 2020

Lawrence Livermore National Laboratory (LLNL), Hewlett Packard Enterprise (HPE) and Advanced Micro Devices Inc. (AMD) today announced the selection of AMD as the node supplier for El Capitan, projected to be the world’s most powerful supercomputer when it is fully deployed in 2023.

read more about—El Capitan

Cosmin Petra and Ignacio Aravena

Lab Team Sizzles at DOE Grid Optimization Competition

February 27, 2020

LLNL bested more than two dozen teams to place first overall in Challenge 1 of the DOE Grid Optimization Competition, aimed at developing a more reliable, resilient, and secure U.S. electrical grid.

read more about—Lab Team Sizzles at DOE Grid Optimization Competition

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Podcast: Future Architectures, First-Rate Discretization Libraries

February 26, 2020

Led by LLNL's Tzanio Kolev, the Center for Efficient Exascale Discretizations (CEED) is a hub for high-order mathematical methods to increase application efficiency and performance.

read more about—new architectures and high-order discretizations

TFinity Spectra Tape Library

Upgraded Data Archives Position Lab for Exascale Era

January 30, 2020

LLNL is now home to the world’s largest Spectra TFinity system, following a complete replacement of the tape library hardware that supports Livermore’s data archives.

read more about our newest archive

Ulrike Meier Yang being interviewed

Optimizing Math Libraries to Prepare for Exascale Computing

January 2, 2020

This episode of Let’s Talk Exascale takes a brief look at the xSDK4ECP and hypre projects within the Software Technology research focus area of the US Department of Energy’s Exascale Computing Project (ECP).

read more about—Math Libraries for Exascale

Spack session

On the Spack Track

December 5, 2019

At the annual supercomputing conference, SC19 in Denver, Colorado, there were Spack events each day of the conference.

read more about Spack

Kathryn Mohror and fellow researcher in front of scientific poster

Software Enables Use of Distributed In-System Storage and Parallel File System

December 5, 2019

A software product from the Exascale Computing Project (ECP) called UnifyFS can provide I/O performance portability for applications, enabling them to use distributed in-system storage and the parallel file system.

read more about UnifyFS

Kathryn and Elsa at R&D100 awards

Podcast: SCR Scalable Checkpoint/Restart Paves the Way for Exascale

December 8, 2019

In this Let’s Talk Exascale podcast, researchers involved with the Scalable Checkpoint/Restart (SCR) Framework describe how it will enable users of high-performance computing systems to roll with the rapid pace of change.

read more about SCR

DOE booth

LLNL’s presence in HPC shines bright at SC19

December 4, 2019

The 2019 International Conference for High Performance Computing, Networking, Storage, and Analysis— better known simply as SC19 — returned to Denver, and once again Lawrence Livermore National Laboratory (LLNL) made its presence known as a force in supercomputing.

read more about—LLNL's presence at SC19

Awards ceremony for Best Paper

LLNL-led team awarded Best Paper at SC19 for modeling cancer-causing protein interactions

November 22, 2019

A panel of judges at the International Conference for High Performance Computing, Networking, Storage and Analysis (SC19) on Thursday awarded a multi-institutional team led by Lawrence Livermore National Laboratory computer scientists with the conference’s Best Paper award.

read more about—SC19 paper award winner

Bronis accepts HPCWire Award

LLNL wins 2019 HPCwire Readers’ and Editors’ Choice Awards for El Capitan

November 20, 2019

Lawrence Livermore National Laboratory (LLNL), along with the Oak Ridge and Argonne national laboratories and Cray Inc., garnered HPCwire Readers’ and Editors’ Choice Awards for Top Supercomputing Achievement for 2019.

read more about—LLNL wins 2019 HPCwire Readers’ and Editors’ Choice Awards for El Capitan


Upgrades coming to LLNL’s Corona computing cluster

November 19, 2019

Lawrence Livermore National Laboratory (LLNL) is collaborating with Penguin Computing Inc. and graphics card manufacturer AMD to upgrade its unclassified computing cluster Corona to roughly double the amount of graphics processors (GPUs) the system previously had. The upgrade will provide significantly greater performance and bring additional capabilities in artificial intelligence and machine learning to the LLNL user community, according to Lab researchers.

read more about—Upgrades coming to LLNL’s Corona computing cluster

penguin logo

Penguin/Intel 'Magma' computing cluster coming to LLNL

November 18, 2019

Lawrence Livermore National Laboratory (LLNL) is welcoming the newest addition to its already powerful supercomputing lineup, a commodity cluster system built by Penguin Computing Inc. that will perform vital calculations for the National Nuclear Security Administration (NNSA).

read more about—Penguin/Intel 'Magma' computing cluster coming to LLNL

top500 announcement by Eric Strohmaier

New TOP500 List unveiled: Sierra stays No. 2 and more

November 18, 2019

The latest TOP500 List of the world's most powerful computers was released today at the 2019 International Supercomputing Conference for High Performance Computing, Networking, Storage and Analysis (SC19) in Denver. Lawrence Livermore National Laboratory’s (LLNL's) IBM/NVIDIA Sierra supercomputer held steady at the No. 2 spot, one of seven Lab systems to crack the top 100, including a brand-new arrival.

read more about the 2019 Top500 list

LLNL to receive DOE funding for new HPC4EI projects

November 12, 2019

The U.S. Department of Energy (DOE) today announced the 12 projects awarded funding under the latest solicitation for the High Performance Computing for Energy Innovation Program (HPC4EI), a public/private collaboration that seeks to leverage DOE’s high performance computing facilities at national labs for industry to improve energy efficiency and streamline manufacturing processes.

read more about—LLNL to receive DOE funding for new HPC4EI projects

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Video: HPC at CASC

July 30, 2019

In this video, researchers describes activities at Lawrence Livermore National Laboratory’s Center for Applied Scientific Computing (CASC). Director Jeffrey Hittinger and Teresa Bailey discuss how CASC uses high-performance computing for research in the interest of national security.

watch—Video: HPC at CASC

Ramesh Pankajakshan: From Research Professor to Professional Researcher

September 11, 2019

Computational Scientist Ramesh Pankajakshan came to LLNL in 2016 directly from the University of Tennessee at Chattanooga. But unlike most recent hires from universities—students, grad students, or postdocs—Ramesh made a mid-career switch from research professor to professional researcher.

read more about—Ramesh Pankajakshan