The newest NERSC supercomputer Cori is a Cray XC40 system consisting of 2,388 Intel Xeon Haswell nodes and 9,688 Intel Xeon-Phi “Knights Landing” (KNL) nodes. Compared to the Xeon-based clusters NERSC users are familiar with, optimal performance on Cori requires consideration of KNL mode settings; process, thread, and memory affinity; fine-grain parallelization; vectorization; and use of the high-bandwidth MCDRAM memory. This paper describes our efforts preparing NERSC users for KNL through the NERSC Exascale Science Application Program, Web documentation, and user training. We discuss how we configured the Cori system for usability and productivity, addressing programming concerns, batch system configurations, and default KNL cluster and m...
National Energy Research Scientific Computing Center (NERSC) provides researchers with high-performa...
This dataset contains the power variation data for NERSC Cori collected in 2020. It also has the job...
This report documents parallel scaling characteristics of NERSC user project codes between Fiscal Ye...
The newest NERSC supercomputer Cori is a Cray XC40 system consisting of 2,388 Intel Xeon Haswell nod...
NERSC has partnered with 20 representative application teams to evaluate performance on the Xeon-Phi...
There are many potential issues associated with deploying the Intel Xeon PhiTM (code named Knights L...
The Knights Landing (KNL) release of the Intel Many Integrated Core (MIC) Xeon Phi line of processor...
Abstract: Over the last few years, many physics experiments migrated their computations from custom...
The Knights Landing (KNL) release of the Intel Many Integrated Core (MIC) Xeon Phi line of processor...
The Cori system at NERSC has two compute partitions with different CPU architectures: a 2,004 node H...
The National Energy Research Scientific Computing (NERSC) Center is the primary computing facility f...
IThe National Energy Research Scientific Computing Center (NERSC) is the primary computing center fo...
The Solenoidal Tracker at RHIC (STAR) is a multi-national supported experiment located at the Brookh...
The Roofline Performance Model is a visually intuitive method used to bound the sustained peak float...
NVRAM-based Burst Buffers are an important part of the emerging HPC storage landscape. The National ...
National Energy Research Scientific Computing Center (NERSC) provides researchers with high-performa...
This dataset contains the power variation data for NERSC Cori collected in 2020. It also has the job...
This report documents parallel scaling characteristics of NERSC user project codes between Fiscal Ye...
The newest NERSC supercomputer Cori is a Cray XC40 system consisting of 2,388 Intel Xeon Haswell nod...
NERSC has partnered with 20 representative application teams to evaluate performance on the Xeon-Phi...
There are many potential issues associated with deploying the Intel Xeon PhiTM (code named Knights L...
The Knights Landing (KNL) release of the Intel Many Integrated Core (MIC) Xeon Phi line of processor...
Abstract: Over the last few years, many physics experiments migrated their computations from custom...
The Knights Landing (KNL) release of the Intel Many Integrated Core (MIC) Xeon Phi line of processor...
The Cori system at NERSC has two compute partitions with different CPU architectures: a 2,004 node H...
The National Energy Research Scientific Computing (NERSC) Center is the primary computing facility f...
IThe National Energy Research Scientific Computing Center (NERSC) is the primary computing center fo...
The Solenoidal Tracker at RHIC (STAR) is a multi-national supported experiment located at the Brookh...
The Roofline Performance Model is a visually intuitive method used to bound the sustained peak float...
NVRAM-based Burst Buffers are an important part of the emerging HPC storage landscape. The National ...
National Energy Research Scientific Computing Center (NERSC) provides researchers with high-performa...
This dataset contains the power variation data for NERSC Cori collected in 2020. It also has the job...
This report documents parallel scaling characteristics of NERSC user project codes between Fiscal Ye...