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.

NERSC is among the early adopters of the new NVIDIA A100 Tensor Core GPU processor announced by NVIDIA this week. More than 6,000 of the A100 chips will be included in NERSC’s next-generation Perlmutter system, which is based on an HPE Cray Shasta supercomputer that will be deployed at Lawrence Berkeley National Laboratory later this year.

NERSC is the DOE Office of Science’s (SC’s) mission high performance computing facility, supporting more than 7,000 scientists and 700 projects annually. The Perlmutter system represents SC’s ongoing commitment to extreme-scale science, developing new energy sources, improving energy efficiency, discovering new materials and analyzing massive data sets from scientific experimental facilities. Since announcing Perlmutter in October 2018, NERSC has been working to fine-tune science applications for GPU technologies and prepare users for the more than 6,000 next-generation NVIDIA GPU processors that will power Perlmutter alongside the heterogeneous system’s AMD CPUs. 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.

Perlmutter nersc

Sep 30, 2020 Perlmutter @NERSC 3. Frontier @ORNL 4. El Capitan @Livermore_Lab 5. Crossroads @LosAlamosNatLab #HPC #AIpic.twitter.com/ NERSC supports a large number of users and projects from DOE SC's Projectizing data science support at NERSC NESAP program for Cori & Perlmutter.

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.

C Yang, T Kurth, S Williams. Concurrency 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 May 15, 2019 30PFs. Manycore CPU. 4MW.

Hierarchical Roofline Analysis for GPUs: Accelerating Performance Optimization for the NERSC‐9 Perlmutter System. C Yang, T Kurth, S Williams. Concurrency

Similar to CPUs, GPU memory spaces have their own hierarchies. GitLab/NERSC/docs .

Manycore CPU. 4MW. 2013. 2016.
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Earlier in the year, the DOE unveiled Summit and Sierra, two Perlmutter - A 2020 Pre-Exascale. GPU-accelerated System for NERSC. Architecture and Early Application. Performance Optimization Results. Jack Deslippe.

Similar to CPUs, GPU memory spaces have their own hierarchies. GitLab/NERSC/docs . NERSC Documentation .
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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.

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.

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Perlmutter will be deployed at National Energy Research Scientific Computing Center in two phases: the first set of 12 cabinets, featuring GPU-accelerated nodes, will arrive in late 2020 and the second set, featuring CPU-only nodes, will arrive in mid-2021.

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 Development System Documentation. Cori GPU Nodes¶.