Topic: HPC Systems and Software

Splitting memory resources in HPC between local nodes and a larger shared remote pool can help better support computational applications.

As CTO of Livermore Computing, de Supinski is responsible for formulating, overseeing, and implementing LLNL’s large-scale computing strategy, requiring managing multiple collaborations with the HPC industry and academia.

Updating a compiler can affect how code runs, leading to inconsistencies in outputs and creating problems for scientists. A new tool automatically finds the sources of these inconsistencies.

LLNL participates in the ISC High Performance Conference (ISC23) on May 21–25.

An LLNL Distinguished Member of Technical Staff, Gokhale is considered an expert in her field, and continues to enjoy the fast pace of innovation and change in computing.

LC’s adaptation of OpenZFS software provides high performance parallel file systems with better performance and scalability.

LLNL’s archives recount the contributions of women who developed code during the Lab's early decades.

LLNL’s archives provide a glimpse into the career and contributions of a computing pioneer.

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.

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.

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.

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.

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.

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

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.