Perlmutter - A 2020 Pre-Exascale. GPU-accelerated System for NERSC. Architecture and Early Application. Performance Optimization Results. Jack Deslippe.

NERSC’s next supercomputer Perlmutter will be an NVIDIA GPU-accelerated Cray supercomputer with AMD EPYC host CPUs and an Ethernet-compatible Slingshot network. Although NERSC users are generally familiar with performance optimization on Intel and AMD CPUs, there are a number of new facets of performance optimization

NERSC supercomputers are used for scientific research by researchers working in diverse areas such as alternative energy, environment, high-energy and nuclear physics, advanced computing, materials science, and chemistry. Edison is scheduled to be replaced by Perlmutter in late 2020. NERSC's now retired system is Edison, a Cray XC30 named in honor of American inventor and scientist Thomas Edison, which has a peak performance of 2.57 petaflop/s. NERSC's next system is Perlmutter.

Perlmutter nersc

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.

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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

2018-10-30 · Perlmutter, a pre-exascale system coming in 2020 to the DOE’s National Energy Research Scientific Computing Center (NERSC), will feature NVIDIA Tesla GPUs. The system is expected to deliver three times the computational power currently available on the Cori supercomputer at NERSC. GPU-Powered Perlmutter Supercomputer coming to NERSC in 2020. Today NERSC announced plans for Perlmutter, a pre-exascale system to be installed in 2020.

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.

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Perlmutter will have a mixture of CPU-only nodes and CPU + GPU nodes. Each CPU + GPU nodes will have 4 GPUs per CPU node. NERSC's Perlmutter supercomputer will include more than 6,000 NVIDIA A100 Tensor Core GPU chips May 14, 2020 The U.S. Department of Energy’s National Energy Research Scientific Computing Center (NERSC) is among the early adopters of the new NVIDIA A100 Tensor Core GPU processor announced by NVIDIA today. 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.
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NERSC's newest system, Perlmutter, is an upcoming Cray system with heterogeneous nodes including AMD CPUs and NVIDIA Volta-Next GPUs. It will be the 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. NERSC's new Perlmutter system will be a heterogeneous system comprising both CPU-only and GPU-accelerated nodes, with a performance of more than 3 times Cori, NERSC’s current platform.

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.
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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.

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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. Each CPU + GPU nodes will have 4 GPUs per CPU node.

Center (NERSC) will be deploying the Perlmutter HPC system which has been specifically designed May 14, 2020 DYK that NERSC is one of the early adopters of the new NVIDIA for the GPU- accelerated Perlmutter #supercomputer being deployed later NVIDIA GPU: er kommer att driva Perlmutter, en nästa generations superdator vid Lawrence Berkeley National Laboratory som idag tillkännagavs av den MIT Political Science. Högskola och universitet. NERSC. Myndighetsbyggnad. TRIUMF.

2020-04-02 · The GPU partition on Cori was installed to help prepare applications for the arrival of Perlmutter, NERSC’s next-generation system that is scheduled to begin arriving later this year and will rely on GPUs for much of its computational power. The National Energy Research Scientific Computing Center (NERSC) is the mission HPC center for the U.S. Department of Energy Office of Science and supports the needs of 800+ projects and 7,000+ scientists with advanced HPC and data capabilities.