Mar 23, 2019 To highlight NERSC's commitment to advancing research, the new system will be named “Perlmutter” in honor of Saul Perlmutter, an 

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.

"We are excited to work with NVIDIA to enable OpenMP GPU computing using their PGI compilers,” said Nick Wright, the Perlmutter chief architect. idl_batch.sh will load IDL and execute the procedure that you specified. The key is the idl -e "idl_hello" which allows IDL to execute your procedure via the command line. We set OMP_NUM_THREADS=68 and -c 272 to give IDL the ability to take advantage of multithreading which is availible in some libraries. Perlmutter System and beyond at NERSC Jack Deslippe NERSC September, 2020. 2 Perlmutter: a System Optimized for Science •NVIDIA A100-accelerated and CPU-only NERSC Hosts GPU Hackathon for Future Perlmutter Users May 21, 2019 Over four days (April 30-May 3), 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.

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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. 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.

NERSC's next system is Perlmutter. 1) The Perlmutter GPU partition will have approximately 1500 GPU nodes, each with 4 NVIDIA A100 GPUs and 2) the CPU partition have approximately 3000 CPU nodes, each with 2 AMD Milan CPUs. You can find some general Perlmutter readiness advice here.

Perlmutter will join the existing Cori supercomputer – NERSC Getting prepared To get users ready for the increase in power from Perlmutter and future exascale systems, NERSC has a new testing program called the NERSC Exascale Science Applications Program (NESAP), which involves early access to new hardware and prototype software tools for performance analysis, optimization, and training. 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. 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.

2019年4月24日 NERSCのスパコンには大きな業績を挙げた科学者の名前が付けられており、現在 のNERSCのメインのスパコンはCoriという名前で、 Gerty Cori 

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 PerlmutterはSummitやSierraと並ぶ米国のPre-Exaスパコンである. その中でNERSCとしてはEdison(NERSC-7)、Cori(NERSC-8)に続いて2020年にPerlmutter(NERSC-9)を稼働させる。 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.' NERSC has signed a contract with NVIDIA to enhance GPU compiler capabilities for Berkeley Lab’s next-generation Perlmutter supercomputer. 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. Center (NERSC) will be deploying the Perlmutter HPC system which has been specifically designed to address the needs of emerging data-driven workloads in addition to traditional modeling and simulation. A foundation of Perlmutter’s data processing capabilities will be its 30 PB, all-flash Lustre file system.

Jack Deslippe. Flash未安装或者被禁用. GTC 2020- Accelerating Applications for the NERSC Perlmutter Supercomputer Using.
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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.

Performance Optimization Results. Jack Deslippe.
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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

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. 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. 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.