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Podcast: ECP Team Achieves Huge Performance Gain on Materials Simulation Code

The Exascale Atomistics for Accuracy, Length, and Time (EXAALT) project within the US Department of Energy’s Exascale Computing Project (ECP) has made a big step forward by delivering a five-fold performance advance in addressing its fusion energy materials simulations challenge problem. “Summit is at roughly 200 petaflops, so by the time we go to the exascale, we should have another factor of five. That starts to be a transformative kind of change in our ability to do the science on these machines.”

ISC 2019 Recap from Glenn Lockwood

In this special guest feature, Glenn Lockwood from NERSC shares his impressions of ISC 2019 from an I/O perspective. “I was fortunate enough to attend the ISC HPC conference this year, and it was a delightful experience from which I learned quite a lot. For the benefit of anyone interested in what they have missed, I took the opportunity on the eleven-hour flight from Frankfurt to compile my notes and thoughts over the week.”

GPU Hackathon gears up for Future Perlmutter Supercomputer

NERSC recently hosted its first user hackathon to begin preparing key codes for the next-generation architecture of the Perlmutter system. Over four days, experts from NERSC, Cray, and NVIDIA worked with application code teams to help them gain new understanding of the performance characteristics of their applications and optimize their codes for the GPU processors in Perlmutter. “By starting this process early, the code teams will be well prepared for running on GPUs when NERSC deploys the Perlmutter system in 2020.”

NERSC taps NVIDIA compiler team for Perlmutter Supercomputer

NERSC has signed a contract with NVIDIA to enhance GPU compiler capabilities for Berkeley Lab’s next-generation Perlmutter supercomputer. “We are excited to work with NVIDIA to enable OpenMP GPU computing using their PGI compilers,” said Nick Wright, the Perlmutter chief architect. “Many NERSC users are already successfully using the OpenMP API to target the manycore architecture of the NERSC Cori supercomputer. This project provides a continuation of our support of OpenMP and offers an attractive method to use the GPUs in the Perlmutter supercomputer. We are confident that our investment in OpenMP will help NERSC users meet their application performance portability goals.”

NERSC Hosts GPU Hackathon in Preparation for Perlmutter Supercomputer

NERSC recently hosted a successful GPU Hackathon event in preparation for their next-generation Perlmutter supercomputer. Perlmutter, a pre-exascale Cray Shasta system slated to be delivered in 2020, will feature a number of new hardware and software innovations and is the first supercomputing system designed with both data analysis and simulations in mind. Unlike previous NERSC systems, Perlmutter will use a combination of nodes with only CPUs, as well as nodes featuring both CPUs and GPUs.

GPU-Powered Perlmutter Supercomputer coming to NERSC in 2020

Today NERSC announced plans for Perlmutter, a pre-exascale system to be installed in 2020. With thousands of NVIDIA Tesla GPUs, the system is expected to deliver three times the computational power currently available on the Cori supercomputer at NERSC. “Optimized for science, the supercomputer will support NERSC’s community of more than 7,000 researchers. These scientists rely on high performance computing to build AI models, run complex simulations and perform data analytics. GPUs can speed up all three of these tasks.”