Optimization Models for Three On-Chip Network Problems

Abstract

We model three on-chip network design problems—memory controller placement, resource allocation in heterogeneous on-chip networks, and their combination—as mathematical optimization problems. We model the first two problems as mixed integer linear programs. We model the third problem as a mixed integer nonlinear program, which we then linearize exactly. Sophisticated optimization algorithms enable solutions to be obtained much more efficiently. Detailed simulations using synthetic traffic and benchmark applications validate that our designs provide better performance than solutions proposed previously. Our work provides further evidence toward suitability of optimization models in searching/pruning architectural design space.

Document Details

Document Type
Pub Defense Publication
Publication Date
Sep 17, 2016
Source ID
10.1145/2943781

Entities

People

  • David A Wood
  • Michael C. Ferris
  • Nilay Vaish

Organizations

  • Air Force Office of Scientific Research
  • National Science Foundation
  • United States Department of Energy
  • University of Wisconsin–Madison

Tags

Fields of Study

  • Computer science

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Parallel and Distributed Computing.

Technology Areas

  • Space