Handbook of Parallel Computing and Statistics (Statistics, Textbooks and Monographs)

By Erricos J. Kontoghiorghes

Book Overview

Technological improvements continue to push back the frontier of processor speed in modern computers. Unfortunately, the computational intensity demanded by modern research problems grows even faster. Parallel computing has emerged as the most successful bridge to this computational gap, and many popular solutions have emerged based on its concepts, such as grid computing and massively parallel supercomputers. The Handbook of Parallel Computing and Statistics systematically applies the principles of parallel computing for solving increasingly complex problems in statistics research.

This unique reference weaves together the principles and theoretical models of parallel computing with the design, analysis, and application of algorithms for solving statistical problems. After a brief introduction to parallel computing, the book explores the architecture, programming, and computational aspects of parallel processing. Focus then turns to optimization methods followed by statistical applications. These applications include algorithms for predictive modeling, adaptive design, real-time estimation of higher-order moments and cumulants, data mining, econometrics, and Bayesian computation. Expert contributors summarize recent results and explore new directions in these areas.

Its intricate combination of theory and practical applications makes the Handbook of Parallel Computing and Statistics an ideal companion for helping solve the abundance of computation-intensive statistical problems arising in a variety of fields.

• Format: Hardcover
• Language: English
• ISBN: 082474067X
• ISBN13: 9780824740672
• Release Date: December 2005
• Publisher: CRC Press
• Length: 552 Pages
• Weight: 2.48 lbs.
• Dimensions: 1.4" x 7.4" x 9.9"

Customer Reviews

Excellent Overview of the State of the Art

It came as somewhat of a surprise to the industry that coupling together several PC's enabled the construction of what was in effect a supercomputer at a small fraction of the cost. What began twenty or so years ago has now influenced the design of CPU's and the intereconnection 'LANs' that facilitate the transfer of data between the processors. And this clearly hasn't stopped. The AMD Opteron CPU's and Intel's PCI-Express...

brings together a comprehensive review

A sturdy review of the different geometries of parallel machines, and of how to program them. Examples are given of algorithms that can be efficiently ported to these machines. The handbook is useful in summarising a lot of results scattered over conference proceedings and journal papers. The range of applications described is impressive. The text is probably suited for a graduate level course. A bit too specialised for most...