Parallel Computing: A Tutorial for Statisticians,

Abstract

The purpose of this article is to provide statisticians a brief introduction to parallel computing. We begin by discussing a few basic notions which are fundamental to parallel processing. Next some important aspects of hardware for parallel computers are reviewed. We then provide a brief analysis of system performance including a statistical approach to the performance of one kind of distributed computing system. Next there is a discussion of a particular form of parallel iteration which we have found generally useful followed by a discussion of several statistical applications. We conclude with a review of some of the difficulties of programming parallel systems and mention one programming system we have used which helps overcome these problems. We recommend Bertsekas and Tsitsiklis (1989) for the reader who is interested in further details on many of these topics.

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1992
Accession Number
ADP007196

Entities

People

  • Mark J. Schervish
  • William F. Eddy

Organizations

  • Carnegie Mellon University

Tags

DTIC Thesaurus Topics

  • Computational Processes
  • Computer Programming
  • Computer Science
  • Computers
  • Computing-Related Activities
  • Distributed Computing
  • Engineering
  • Iterations
  • Parallel Computing
  • Parallel Processing
  • Statistics
  • Theoretical Computer Science

Fields of Study

  • Computer science
  • Mathematics

Readers

  • Academic Conference Management
  • Parallel and Distributed Computing.
  • Systems Analysis and Design