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​Reactor core simulation

​Fuel Pin simulation and equations​

​Nuclear fuel microstructure simulation

​​​High-Performance Computing

Nuclear Science User Facility (NSUF) High-Performance Computing (HPC) resources offered through Idaho National Laboratory provide scientific computing capabilities to support efforts in advanced modeling and simulation. These resources support a wide range of research activities, including performance of materials in harsh environments (including the effects of irradiation and high temperatures), performance of existing light water and advanced nuclear reactors, and multiscale multiphysics analysis of nuclear fuel performance. Current HPC resources include:

  • Falcon: a SGI ICE-X distributed memory system with 34,992 cores, 121 TB of memory and a LINPACK rating of 1 Petaflop/s. Falcon's network is a seven-dimensional enhanced hypercube utilizing FDR InfiniBand. Individual compute nodes contain dual Xeon E5-2695 v4 processors with 18 cores each and 128 GB of memory. Falcon came online in Fall 2014 and ranked #97 on the November 2014 TOP500 list.
  • Lemhi: a Dell 6420-based system with 20,160 cores, 94 TB of memory and a LINPACK rating of 1 Petaflop/s. Lemhi's network is an OmniPath fat tree. Individual compute nodes contain dual Xeon Gold 6148 processors with 20 cores each and 192 GB of memory. Lemhi came online in Fall 2018 and ranked #427 on the November 2018 TOP500 list.

HPC Access Request

To request access to the high performance computing resources, please apply here:

Acknowledge in Publications

External researchers who make use of INL's HPC resources should include the following standard acknowledgment in their publications and reports:

This research made use of the resources of the High Performance Computing Center at Idaho National Laboratory, which is supported by the Office of Nuclear Energy of the U.S. Department of Energy and the Nuclear Science User Facilities under Contract No. DE-AC07-05ID14517.


High Performance Computing Ticket Submission Form

To report problems accessing or using the INL HPC environment, please contact the INL Help Desk at
(208) 526-1000.