Enhance GPU/CPU Hybrid Parallel Computation for Parachute Simulation with Machine Learning

Abstract

The DURIP grant W911NF-20-1-0159 Enhance GPU/CPU Hybrid Parallel Computation for Parachute Simulation with Machine Learning awarded by the Army Research Office strengthens the computing power for the numerical computation and software development of the parachute simulation platform. In addition, it provides the computational resource to several other research projects associated with our research team.

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Document Details

Document Type
Technical Report
Publication Date
Aug 30, 2021
Accession Number
AD1208842

Entities

People

  • Hongshik Ahn
  • Xiaolin Li

Organizations

  • State University of New York

Tags

Communities of Interest

  • Autonomy
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Cauchy Problem
  • Computational Fluid Dynamics
  • Computational Science
  • Computations
  • Covid-19
  • Differential Equations
  • Equations
  • Fluid Dynamics
  • Machine Learning
  • Navier Stokes Equations
  • Operating Systems
  • Parallel Computing
  • Partial Differential Equations
  • Poisson Equation
  • Simulations
  • Software Development
  • Two Dimensional

Fields of Study

  • Computer science

Readers

  • Aerospace Test and Evaluation
  • Computational Fluid Dynamics (CFD)
  • Research Science/Academic Research

Technology Areas

  • AI & ML