Controlling Memory Access Concurrency in Efficient Fault-Tolerant Parallel Algorithms,

Abstract

The CRCW PRAM under dynamic fail-stop (no restart) processor behavior is a fault-prone multiprocessor model for which it is possible to both guarantee reliability and preserve efficiency. To handle dynamic faults some redundancy is necessary in the form of many processors concurrently performing a common read or write task. In this paper we show how to significantly decrease this concurrency by bounding it in terms of the number of actual processor faults. We describe a low concurrency, efficient and fault-tolerant algorithm for the Write-All primitive: 'using less than or equal to N processors, write 1's into N locations'. This primitive can serve as the basis for efficient fault-tolerant simulations of algorithms written for fault-free PRAMs on fault-prone PRAMs. For any dynamic failure pattern F, our algorithm has total write concurrency less than or equal to /F/ and total read concurrency less than or equal to 7/F/log N, where /F/ is the number of processor faults (for example, there is no concurrency in a run without failures); note that, previous algorithms used Omega(N log N) concurrency even in the absence of faults. We also describe a technique for limiting the per step concurrency and present an optimal fault- tolerant EREW PRAM algorithm for Write-All, when all processor faults are initial.

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Document Details

Document Type
Technical Report
Publication Date
May 16, 1994
Accession Number
ADA280909

Entities

People

  • Alex A. Shvartsman
  • Dimitrios Michailidis
  • Paris C. Kanellakis

Organizations

  • Brown University

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Additives (Chemicals)
  • Algorithms
  • Arrays
  • Asynchronous Computation
  • Broadcasting
  • Computations
  • Efficiency
  • Fault Tolerance
  • Instructions
  • Iterations
  • Measurement
  • Multithreading
  • Parallel Computing
  • Redundancy
  • Sequences
  • Simulations
  • Trees (Data Structures)

Fields of Study

  • Computer science
  • Engineering

Readers

  • Applied Combinatorial Optimization and Logic Circuit Design.
  • Database Systems and Applications
  • Graph Algorithms and Convex Optimization.