Topic: HPC Systems and Software

Computing relies on engineers like Stephanie Brink to keep the legacy codes running smoothly. “You’re only as fast as your slowest processor or your slowest function,” says Brink, who works in CASC. By analyzing a legacy code’s performance, Brink and her team can reduce the amount of time it takes to run and allow for more critical science to be accomplished.

LLNL is looking for participants and attendees from industry, research institutions and academia for the first-ever Machine Learning for Industry Forum (ML4I), a three-day virtual event starting Aug. 10.

The latest issue of LLNL's Science & Technology Review magazine showcases Computing in the cover story alongside a commentary by Bruce Hendrickson.

LLNL has turned to AMD and Penguin Computing to upgrade a supercomputer to help in the fight against the novel coronavirus. The computer's name is... Corona.

Highlights include scalable deep learning, high-order finite elements, data race detection, and reduced order models.

The hypre team's latest work gives scientists the ability to efficiently utilize modern GPU-based extreme scale parallel supercomputers to address many scientific problems.

BUILD tackles the complexities of HPC software integration with dependency compatibility models, binary analysis tools, efficient logic solvers, and configuration optimization techniques.

The HPC industry publication HPCwire named Bronis R. de Supinski, LLNL’s chief technology officer for Livermore Computing, as one of its People to Watch for 2021.

COVID-19 HPC Consortium scientists and stakeholders met virtually to mark the consortium’s one-year anniversary, discussing the progress of research projects and the need to pursue a broader organization to mobilize supercomputing access for future crises.

In his opening keynote address at the AI Systems Summit, LLNL CTO Bronis de Supinski described integration of two AI-specific systems to achieve system level heterogeneity.

In recognition of March as International Women’s History Month, SC21 profiled six women doing trailblazing work, including LLNL's Hiranmayi Ranganathan.

CTO Bronis de Supinski discusses the integrated storage strategy of the future El Capitan exascale supercomputing system, which will have in excess of 2 exaflops of raw computing power spread across nodes.

Our researchers will be well represented at the virtual SIAM Conference on Computational Science and Engineering (CSE21) on March 1–5. SIAM is the Society for Industrial and Applied Mathematics with an international community of more than 14,500 individual members.

A near node local storage innovation called Rabbit factored heavily into LLNL’s decision to select Cray’s proposal for its CORAL-2 machine, the lab’s first exascale-class supercomputer, El Capitan.

Proxy apps serve as specific targets for testing and simulation without the time, effort, and expertise that porting or changing most production codes would require.

A team of current and former LLNL and IBM scientists won the annual “Test of Time” award at the 2020 Supercomputing Conference on November 19 for a paper outlining LLNL’s Blue Gene/L supercomputer.

The latest issue of LLNL's Science & Technology Review magazine highlights the work already accomplished with the Sierra supercomputer and what's to come.

LLNL is home to advanced tech at the high end of compute, networking, and storage. The article includes a video featuring Robin Goldstone, HPC strategist in the Lab's Advanced Technologies Office.

LLNL can lay claim to housing 4 of the world’s 100 most powerful supercomputers, more than any other institution according to the TOP500 List announced during SC20.

Ruby, a 6-petaflop cluster, will be used for the stockpile stewardship mission, open science, and the search for therapeutic drugs and antibodies against SARS-CoV-2.

The Next Platform's Nicole Hemsoth writes that LLNL's addition of new hardware kept us at the front of the supercomputing news cycle throughout most of the year.

The scientific computing and networking leadership of 17 DOE national labs will be showcased at SC20, taking place Nov. 9-19 for the first time via a completely virtual format.

Funded by the CARES Act, LLNL's new computing cluster, Mammoth, will be used to perform genomics analysis, nontraditional simulations, and graph analytics required by scientists working on COVID-19.

A team of LLNL computer scientists and a collaborator from Argonne National Laboratory (ANL) won the Best Paper Award at the International Workshop on OpenMP (IWOMP) 2020 in September.

LLNL’s Computing Directorate heads to the 32nd annual Supercomputing Conference (SC20) held virtually on November 9–19. Although the format is different this year, we’re turning out in full force.