A Deep-Learning Approach towards Auto-Tuning CFD Codes
Abstract
To investigate the potential of deep-learning techniques to optimize code execution on various architectures (hardware and software). The approach is platform-agnostic and could be applied across a very wide range of computational problems.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- May 02, 2017
- Source ID
- FA95501710205
Entities
People
- Wu-chun Feng
Organizations
- Air Force Office of Scientific Research
- United States Air Force
- Virginia Tech