In this Let’s Talk Exascale podcast, researchers involved with the Scalable Checkpoint/Restart (SCR) Framework describe how it will enable users of high-performance computing systems to roll with the rapid pace of change.

At the annual supercomputing conference, SC19 in Denver, Colorado, there were Spack events each day of the conference.

A panel of judges at the International Conference for High Performance Computing, Networking, Storage and Analysis (SC19) on Thursday awarded a multi-institutional team led by Lawrence Livermore National Laboratory computer scientists with the conference’s Best Paper award.

Lawrence Livermore National Laboratory (LLNL) is collaborating with Penguin Computing Inc. and graphics card manufacturer AMD to upgrade its unclassified computing cluster Corona to roughly double the amount of graphics processors (GPUs) the system previously had. The upgrade will provide significantly greater performance and bring additional capabilities in artificial intelligence and machine learning to the LLNL user community, according to Lab researchers.

Lawrence Livermore National Laboratory (LLNL) is welcoming the newest addition to its already powerful supercomputing lineup, a commodity cluster system built by Penguin Computing Inc. that will perform vital calculations for the National Nuclear Security Administration (NNSA).

Computational Scientist Ramesh Pankajakshan came to LLNL in 2016 directly from the University of Tennessee at Chattanooga. But unlike most recent hires from universities—students, grad students, or postdocs—Ramesh made a mid-career switch from research professor to professional researcher.

Energy Secretary Rick Perry (center) emphasized the importance of advancing high performance computing and artificial intelligence to take on a number of transformative science opportunities during a special round-table discussion held Monday at Lawrence Livermore.