An Instrumentation Request for Upgrading Euler, a CPU-GPU Heterogeneous Cluster Supporting Research and Educational Activities in Multi-Physics Modeling and Simulation

Abstract

The following computer systems were purchased using the funding provided by DOD award #W911NF1810476: 1 IBM POWER9 8335-GTH AC922 System with 4x NVIDIA V100 GPUs, 1 Ace Powerworks GPU Server with 4x NVIDIA V100 GPUs, 2 SuperMicro A+ 4023S-TRT Servers, 1 SuperMicro SYS-2029TP-HTR Chassis with Four Compute Nodes, and 4 NVIDIA Jetson AGX Xavier Development Kits. These systems were integrated into the Euler Cluster, a heterogeneous supercomputer used by Negrut and collaborators at the University of Wisconsin Madison in order to run large scale and high-performance simulations of multibody dynamics, computational fluid dynamics, and computer vision. These systems were selected because they provide modern CPU and GPU hardware accelerators for these types of simulations. They containcomponents which would otherwise not be available to these researchers, e.g., Tensor Core accelerated GPUs, the NVLink interconnect, IBM POWER, AMD EPYC, Intel Xeon Gold CPUs, and NVIDIAs embedded Arm CPU+GPU systems. Additionally, several GPU devices and accessories were purchased in order to replace both obsolete and defective hardware already present in the Euler Cluster.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jan 20, 2020
Accession Number
AD1098067

Entities

People

  • Dan Negrut
  • Radu Serban

Organizations

  • University of Wisconsin–Madison

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Computational Fluid Dynamics
  • Computer Vision
  • Computers
  • Dynamics
  • Fluid Dynamics
  • Information Operations
  • Machine Learning
  • Military Research
  • Physics
  • Simulations
  • Standards
  • Supercomputers
  • Technology Transfer
  • Training
  • Universities
  • Wisconsin
  • Workload

Fields of Study

  • Physics

Readers

  • Computational Fluid Dynamics (CFD)
  • Parallel and Distributed Computing.
  • Quantum Chemistry

Technology Areas

  • AI & ML