Topic: HPC Systems and Software

LLNL will provide significant computing resources to students and faculty from 9 universities that were newly selected for participation in the Predictive Science Academic Alliance Program (PSAAP).

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This summer, the Computing Scholar Program welcomed 160 undergraduate and graduate students into virtual internships. The Lab’s open-source community was already primed for student participation.

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When it comes to solving complex technical issues for GPU-accelerated supercomputers, the national labs have found that tackling them is “better together.”

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An interview with Todd Gamblin from the LLNL about the Spack project, discussing his current research project along with his involvement in Spack.

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Computing’s summer hackathon was held virtually on August 6–7 and featured presentations from teams who tested software technologies, expanded project features, or explored new ways of analyzing data.

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Computing’s fourth annual Developer Day was held as a virtual event on July 30 with 8 speakers and 90 participants.

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Members of the leadership team of the DOE’s Exascale Computing Project cover the state of the project on the "Let's Talk Exascale" podcast. Episode 72 runs 1:26:54 and includes a transcript.

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LLNL computer scientist Stephen Herbein discusses the open-source Flux Framework HPC software on this video episode of Next Platform TV. His segment begins at 27:34.

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In this issue featuring LLNL's R&D 100 Award winners from 2019, the versatile Scalable Checkpoint/Restart framework offers more reliable simulation performance.

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In this issue featuring LLNL's R&D 100 Award winners from 2019, software deployment is faster and easier with the Spack package management tool.

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Ian Karlin on AI hardware integration into HPC systems, workflows, followed by a talk about software integration of AI accelerators in HPC with Brian Van Essen.

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Scheduled for completion in 2022, the project will expand the Livermore Computing Center's power and cooling capacity in preparation for exascale supercomputing hardware.

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The Center for Efficient Exascale Discretizations recently released MFEM v4.1, which introduces features important for the nation’s first exascale supercomputers. LLNL's Tzanio Kolev explains.

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LLNL participates in the digital ISC High Performance Conference (ISC20) on June 22 to 25.

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LLNL's latest HPC system, aptly nicknamed “Magma," delivers 5.4 petaflops of peak performance crammed into 760 compute nodes.

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Elaine Raybourn interviews LLNL's Todd Gamblin about the Spack project's experience working remotely.

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The Maestro Workflow Conductor is a lightweight, open-source Python tool that can launch multi-step software simulation workflows in a clear, concise, consistent, and repeatable manner.

Project

The Exascale Computing Project's Let's Talk Exascale podcast has a new episode featuring LLNL's Todd Gamblin, who talks about the package manager Spack. Episode 67 runs 5:54 and includes a transcript.

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AMD will supply upgraded GPUs for the Corona supercomputing cluster, which will be used by scientists working on discovering potential antibodies and antiviral compounds for SARS-CoV-2.

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The White House announced the COVID-19 HPC Consortium to provide access to the world’s most powerful HPC resources that can advance the pace of scientific discovery in the fight to stop the virus.

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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 processors.

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With its advanced CPUs/GPUs developed by AMD, El Capitan’s peak performance is expected to exceed 2 exaFLOPS, which would make it the fastest supercomputer in the world when it is deployed in 2023.

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On January 31, 2020, the Sequoia supercomputer and its file system were decommissioned after nearly 8 years of remarkable service and achievements.

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New year, new hackathon! The January 30–31 event was Computing’s 23rd hackathon and the 1st scheduled in the winter season.

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