Topic: HPC Systems and Software

LLNL is home to the world’s largest Spectra TFinity^TM system, which offers the speed, agility, and capacity required to take LLNL into the exascale era.

Combining specialized software tools with heterogeneous HPC hardware requires an intelligent workflow performance optimization strategy.

Highlights include MFEM community workshops, compiler co-design, HPC standards committees, and AI/ML for national security.

As Computing’s sixth Fernbach Fellow, postdoctoral researcher Chen Wang will work on a new I/O programming paradigm and improve HPC storage consistency models under the mentorship of Kathryn Mohror.

LLNL is participating in the 34th annual Supercomputing Conference (SC22), which will be held both virtually and in Dallas on November 13–18, 2022.

This 2021 R&D 100 award-winning software solves data center bottlenecks by enabling resource types, schedulers, and framework services to be deployed as data centers evolve.

An LLNL Distinguished Member of Technical Staff, Todd Gamblin leads the Spack project, an open-source package manager with a rapidly growing global community that has changed the way people use HPC software.

LLNL participates in the CMD-IT/ACM Richard Tapia Celebration of Diversity in Computing Conference (Tapia2022) on September 7–10.

Since 2018, software developer Trevor Smith has been putting his education and computing skills to good use supporting the Lab's HPC environment. He helps develop, deploy, and manage systems software that enables effective and secure use of computing resources.

Livermore’s archive leverages a hierarchical storage management application that runs on a cluster architecture that is user-friendly, extremely scalable, and lightning fast.

LLNL participates in the International Parallel and Distributed Processing Symposium (IPDPS) on May 30 through June 3.

Winning the best paper award at PacificVis 2022, a research team has developed a resolution-precision-adaptive representation technique that reduces mesh sizes, thereby reducing the memory and storage footprints of large scientific datasets.

LLNL participates in the ISC High Performance Conference (ISC22) on May 29 through June 2.

LLNL’s Python 3–based ATS tool provides scientific code teams with automated regression testing across HPC architectures.

The RADIUSS project aims to lower cost and improve agility by encouraging adoption of our core open-source software products for use in institutional applications.

As group leader and application developer in the Global Security Computing Applications Division, Jarom Nelson develops intrusion detection and access control software.

From molecular screening, a software platform, and an online data to the computing systems that power these projects.

The MAPP incorporates multiple software packages into one integrated code so that multiphysics simulation codes can perform at scale on present and future supercomputers.

El Capitan will have a peak performance of more than 2 exaflops—roughly 16 times faster on average than the Sierra system—and is projected to be several times more energy efficient than Sierra.

Highlights include power grid challenges, performance analysis, complex boundary conditions, and a novel multiscale modeling approach.

With a history of student participation and committee service, LLNL computer scientist Kathleen Shoga chaired this year’s competition.

LLNL is participating in the 33rd annual Supercomputing Conference (SC21), which will be held both virtually and in St. Louis on November 14–19, 2021.

Each new season brings another hackathon, and Computing’s 2021 summer event took place on August 12–13.

A Livermore-developed programming approach helps software to run on different platforms without major disruption to the source code.

Supported by the Advanced Simulation and Computing program, Axom focuses on developing software infrastructure components that can be shared by HPC apps running on different platforms.