Get Free Shipping on orders over $79
Applied Parallel Computing : State of the Art in Scientific Computing - Jack Dongarra

Applied Parallel Computing

State of the Art in Scientific Computing

By: Jack Dongarra (Editor), Kaj Madsen (Editor), Jerzy Wasniewski (Editor)

Paperback | 3 March 2006

At a Glance

Paperback


$249.00

or 4 interest-free payments of $62.25 with

 or 

Ships in 5 to 7 business days

Introduction The PARA workshops in the past were devoted to parallel computing methods in science and technology. There have been seven PARA meetings to date: PARA'94, PARA'95 and PARA'96 in Lyngby, Denmark, PARA'98 in Umea, ? Sweden, PARA 2000 in Bergen, N- way, PARA 2002 in Espoo, Finland, and PARA 2004 again in Lyngby, Denmark. The ?rst six meetings featured lectures in modern numerical algorithms, computer science, en- neering, and industrial applications, all in the context of scienti?c parallel computing. This meeting in the series, the PARA 2004 Workshop with the title "State of the Art in Scienti?c Computing", was held in Lyngby, Denmark, June 20-23, 2004. The PARA 2004 Workshop was organized by Jack Dongarra from the University of Tennessee and Oak Ridge National Laboratory, and Kaj Madsen and Jerzy Was ?niewski from the Technical University of Denmark. The emphasis here was shifted to high-performance computing (HPC). The ongoing development of ever more advanced computers provides the potential for solving increasingly dif?cult computational problems. However, given the complexity of modern computer architectures, the task of realizing this potential needs careful attention. For example, the failure to exploit a computer's memory hi- archy can degrade performance badly. A main concern of HPC is the development of software that optimizes the performance of a given computer. The high cost of state-of-the-art computers can be prohibitive for many workplaces, especially if there is only an occasional need for HPC.

More in Algorithms & Data Structures

Addiction by Design : Machine Gambling in Las Vegas - Natasha Dow Schull
Learning Algorithms : A Programmer's Guide to Writing Better Code - George Heineman
Python for Algorithmic Trading : From Idea to Cloud Deployment - Yves Hilpisch
How to Prove It : A Structured Approach - Daniel J. Velleman

RRP $73.95

$70.75

Code Dependent : Living in the Shadow of AI - Madhumita Murgia

RRP $24.99

$21.75

13%
OFF
Python Using GPT-5 and Gemini - Oswald Campesato
Recursion : Mathematics and Python - George K.  Thiruvathukal
Hacker's Delight - Henry Warren

RRP $97.60

$76.75

21%
OFF
Reset : Reclaiming the Internet for Civil Society - Ronald J. Deibert
Quick Data Structures : Quick Programming - David Matuszek