Topic: HPC Systems and Software

LLNL and the United Kingdom’s Hartree Centre are launching a new webinar series intended to spur collaboration with industry through discussions on computational science, HPC, and data science.

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

Technologies developed through the Next-Generation High Performance Computing Network project are expected to support mission-critical applications for HPC, AI and ML, and high performance data analytics. Applications could include stockpile stewardship, fusion research, advanced manufacturing, climate research and other open science on future ASC HPC systems.

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.

The Exascale Computing Project (ECP) 2022 Community Birds-of-a-Feather Days will take place May 10–12 via Zoom. The event provides an opportunity for the HPC community to engage with ECP teams to discuss our latest development efforts.

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

The Livermore Computing–developed Flux project addresses challenges posed by complex scientific research supercomputing workflows.

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

LC sited two different AI accelerators in 2020: the Cerebras wafer-scale AI engine attached to Lassen; and an AI accelerator from SambaNova Systems into the Corona cluster.

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.

For the first time ever, SC21 went hybrid, with dozens of both in-person and virtual workshops, technical paper presentations, panels, tutorials and “birds of a feather” sessions.

SC21's inaugural Best Reproducibility Advancement Award went to an LLNL team for a benchmark suite aimed at simplifying the evaluation process of approximation techniques for scientific applications.

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.

“We’re very excited about the program content. It’s going to be one of the best SC programs ever,” said SC21 General Chair Bronis R. de Supinski, chief technology officer for Livermore Computing at LLNL.

In this IDEAS-ECP webinar, Jean Shuler, who joined LLNL in 1972, shares her stories providing support on a range of computing architectures. The video is an hour long.

The DOE's Exascale Computing Project compiled a video playlist for Exascale Day on October 18 (10¹⁸).

The renowned worldwide competition announced the winners of the 2021 R&D 100 Awards, among them LLNL's Flux workload management software framework in the Software/Services category.

Though the arrival of the exascale supercomputer El Capitan at LLNL is still almost two years away, teams of code developers are busy working on predecessor systems to ensure critical applications are ready for Day One.

To prepare for the next generation of power-hungry supercomputers, LLNL crews have been working throughout the pandemic on a $100 million Exascale Computing Facility Modernization project.

LLNL and partners have awarded a subcontract to Dell Technologies for additional supercomputing systems to support the NNSA's nuclear deterrent mission.

A newly funded project involving LLNL computer scientist Ignacio Laguna will examine numerical aspects of porting scientific applications to different HPC platforms.

From studying radioactive isotope effects to better understanding cancer metastasis, the Laboratory’s relationship with cancer research endures some 60 years after it began, with historical precedent underpinning exciting new research areas.