Graphics Processing Unit (GPU) Infrastructure for Massively Parallel Computing Research

Abstract

The GPU infrastructure will support general-purpose graphics processing unit (GPGPU) research in five DOD mission-critical thematic areas: computational fluid dynamics, nanostructured materials, machine learning, unstructured meshing, and materials chemistry. The proposed infrastructure will enhance the quality of research and research-related education that is currently supported by the Department of Defense, is under review at the Department of Defense, and establishment of novel research capabilities in areas of research of interest to the Department of Defense. The proposed infrastructure will enable several research projects including: large eddy simulation; optical interactions in nanostructured materials; modal decomposition, reduced-order modeling, andphase topology of complex flows; machine learning for unmanned aircraft systems (UAS) and parallel planning;parallel moving meshes; parallel high-order meshes; simulations of solid-liquid interfaces, gas separations, and gas expanded liquids.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Dec 20, 2021
Accession Number
AD1208875

Entities

People

  • Alessandro Salandrino
  • Brian B Laird
  • Michael S. Branicky
  • Suzanne M. Shontz
  • Weizhang Huang
  • Z.j. Wang
  • Zhongquan Charlie Zheng

Organizations

  • University of Kansas

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Aircrafts
  • Chemical Engineering
  • Chemistry
  • Computational Fluid Dynamics
  • Contracts
  • Density Functional Theory
  • Department Of Defense
  • Fluid Dynamics
  • Government Procurement
  • Governments
  • Graphics Processing Unit
  • High Performance Computing
  • Information Systems
  • Large Eddy Simulation
  • Machine Learning
  • Molecular Dynamics
  • Neural Networks
  • Perchlorates
  • Physical Chemistry
  • Standards
  • Unmanned Aerial Systems
  • Unmanned Aerial Vehicles

Readers

  • Computational Fluid Dynamics (CFD)
  • Research Science/Academic Research

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • Autonomy
  • Microelectronics