Mar 12, 2021 NERSC's next supercomputer will be an HPE Cray system named “Perlmutter” in honor of Saul Perlmutter, an astrophysicist at Berkeley Lab

Oct 30, 2019 “NERSC will deploy the new ClusterStor E1000 on Perlmutter as our fast all flash storage tier, which will be capable of over four terabytes per

Perlmutter has been a NERSC user for many years, and part of his Nobel Prize-winning work was carried out on NERSC machines and the system name reflects and highlights NERSC's commitment to advancing scientific research. Perlmutter will be deployed at NERSC in two phases: the first set of 12 cabinets, featuring GPU-accelerated nodes, will arrive in late 2020; the second set, featuring CPU-only nodes, will arrive in mid-2021. A 35-petabyte all-flash Lustre-based file system using HPE’s ClusterStor E1000 hardware will also be deployed in late 2020. 1 Perlmutter Access, Allocations, & User Environment 2020 NERSC User Group Annual Meeting Rebecca Hartman-Baker User Engagement Group Lead August 17, 2020 At the end of 2020, NERSC will be receiving the first phase of Perlmutter, a Cray/HPE system that will include more than 6,000 recently announced NVIDIA A100 (Ampere) GPUs.

The A100 GPUs sport a number of new and novel features we think the scientific community will be able to harness for accelerating discovery. Perlmutter includes several tools available for profiling CPU and GPU applications. Nsight Systems : low-overhead sampling-based tool for collecting "timelines" of CPU and GPU activity. Nsight Compute : higher-overhead profiling tool which provides a large amount of detail about GPU kernels; works best with short-running kernels. Perlmutter (also known as NERSC-9) is a supercomputer scheduled to be delivered to the National Energy Research Scientific Computing Center of the United States Department of Energy in late 2020 as the successor to Cori. Using Python at NERSC ; Parallel Python ; Profiling Python ; Preparing your Python code for Perlmutter ; FAQ and Troubleshooting ; Libraries Libraries . Libraries ; FFTW ; LAPACK ; MKL ; LibSci ; HDF5 ; NetCDF ; PETSc ; Developer Tools In October 2018, the U.S. Department of Energy (DOE) announced that NERSC had signed a contract with Cray for a pre-exascale supercomputer named “Perlmutter,” in honor of Berkeley Lab’s Nobel Prize-winning astrophysicist Saul Perlmutter.

After clicking “Watch Now” you will be prompted to login or join. WATCH NOW Click “Watch Now” to login or join the NVIDIA Developer Program. WATCH NOW Accelerating Applications for the NERSC Perlmutter Supercomputer Using OpenMPAnnemarie Southwell , NVIDIA | Christopher Daley, Lawrence Berkeley National Laboratory GTC 2020Learn about the NERSC/NVIDIA effort to support OpenMP

The Knights Landing processor supports 68 cores per node, each supporting four hardware threads and possessing two 512-bit wide vector processing units. Perlmutter will have a mixture of CPU-only nodes and CPU + GPU nodes.

Perlmutter (also known as NERSC-9) will be delivered by American supercomputing company Cray, featuring future generation AMD Epyc CPUs and Nvidia Tesla GPUs, and will be based on Cray's forthcoming supercomputing platform 'Shasta.'

3-4x Cori . CPU and GPU nodes.

A foundation of Perlmutter’s data processing capabilities will be its 30 PB, all-ﬂash Lustre ﬁle system. NERSC has unveiled the mural that will grace the cabinets of the Perlmutter supercomputer that will be installed at Berkeley Lab in 2020. "The mural pays tribute to the system's namesake, Nobel Laureate Saul Perlmutter. The Berkeley Lab physicist led the team whose work at NERSC contributed to the Nobel prize-winning insight that the universe’s expansion is speeding up. The resulting efforts NERSC and Nvidia are collaborating on software tools for Perlmutter's GPU processors, testing early versions on the existing Cori's Volta GPUs.

Oct 30, 2018 Perlmutter, featuring Nvidia GPUs, will be NERSC's first large-scale GPU system. Earlier in the year, the DOE unveiled Summit and Sierra, two Perlmutter - A 2020 Pre-Exascale. GPU-accelerated System for NERSC.
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Perlmutter will be deployed at NERSC in two phases: the first set of 12 cabinets, featuring GPU-accelerated nodes, will arrive in late 2020; the second set, featuring CPU-only nodes, will arrive in mid-2021. A 35-petabyte all-flash Lustre-based file system using HPE’s ClusterStor E1000 hardware will also be deployed in late 2020.

Named “Perlmutter,” in honor of Berkeley Lab’s Nobel Prize winning astrophysicist Saul Perlmutter, it is the first NERSC system specifically designed to meet the needs of large-scale simulations as well as data analysis from experimental and observational facilities. Perlmutter will be deployed at NERSC in two phases: the first set of 12 cabinets, featuring GPU-accelerated nodes, will arrive in late 2020; the second set, featuring CPU-only nodes, will arrive in mid-2021. A 35-petabyte all-flash Lustre-based file system using HPE’s ClusterStor E1000 hardware will also be deployed in late 2020. The Knights Landing processor supports 68 cores per node, each supporting four hardware threads and possessing two 512-bit wide vector processing units. Perlmutter will have a mixture of CPU-only nodes and CPU + GPU nodes.