Contention-Conscious Transaction Ordering in Embedded Multiprocessors Systems

Abstract

This paper explores the problem of efficiently ordering interprocessor communication operations in statically-scheduled multiprocessors for iterative dataflow graphs. In most digital signal processing applications, the throughput of the system is significantly affected by communication costs. By explicitly modeling these costs within an effective graph-theoretic analysis framework, we show that ordered transaction schedules can significantly outperform self-timed schedules even when synchronization costs are low. However, we also show that when communication latencies are non-negligible, finding an optimal transaction order given a static schedule is an NP-complete problem, and that this intractability holds both under iterative and non-iterative execution. We develop new heuristics for finding efficient transaction orders, and perform an experimental comparison to gauge the performance of these heuristics.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2000
Accession Number
ADA457629

Entities

People

  • Mukul Khandelia
  • Shuvra S. Bhattacharyya

Organizations

  • University of Maryland

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Computations
  • Computer Programming
  • Computers
  • Digital Signal Processing
  • Embedded Systems
  • Energy Consumption
  • Engineering
  • Gantt Charts
  • Genetic Algorithms
  • Iterations
  • Multiprocessors
  • Scheduling (Production)
  • Signal Processing
  • Simulations
  • Specifications
  • Universities

Fields of Study

  • Computer science
  • Engineering

Readers

  • Calculus or Mathematical Analysis
  • Graph Algorithms and Convex Optimization.
  • Parallel and Distributed Computing.