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Parallel Computing: more books (100)

Parallel and Distributed Computing: A Survey of Models, Paradigms and Approaches by Claudia Leopold, 2000-11-17
Using OpenMP: Portable Shared Memory Parallel Programming (Scientific and Engineering Computation) by Barbara Chapman, Gabriele Jost, et all 2007-10-31
Parallel Optimization: Theory, Algorithms, and Applications (Numerical Mathematics and Scientific Computation) by Yair Censor, Stavros A. Zenios, 1998-01-08
Highly Parallel Computing (The Benjamin/Cummings Series in Computer Science and Engineering) by George S. Almasi, Allan Gottlieb, 1993-10
Parallel Computing in Quantum Chemistry by Curtis L. Janssen, Ida M. B. Nielsen, 2008-04-09
Parallel Programming with MPI by Peter Pacheco, 1996-10-15
Parallel Scientific Computation: A Structured Approach using BSP and MPI by Rob H. Bisseling, 2004-05-06
High Performance Computing: Third International Symposium, ISHPC 2000 Tokyo, Japan, October 16-18, 2000 Proceedings (Lecture Notes in Computer Science)
PVM: Parallel Virtual Machine: A Users' Guide and Tutorial for Network Parallel Computing (Scientific and Engineering Computation) by Al Geist, Adam Beguelin, et all 1994-11-08
High Performance Computing for Computational Science - VECPAR 2002: 5th International Conference, Porto, Portugal, June 26-28, 2002. Selected Papers and ... Talks (Lecture Notes in Computer Science)
Parallel and Distributed Computing Handbook by Albert Y. Zomaya, 1995-12-01
Solutions to Parallel and Distributed Computing Problems: Lessons from Biological Sciences
Introduction to Parallel Algorithms (Wiley Series on Parallel and Distributed Computing) by C. Xavier, S. S. Iyengar, 1998-08-05
High Performance Parallel Database Processing and Grid Databases (Wiley Series on Parallel and Distributed Computing) by David Taniar, Clement H. C. Leung, et all 2008-10-13

lists with details

Proceedings Of The Forum On Parallel Computing Curricula
Proceedings of the First Wellesley Forum on parallel computing Curricula. March 31 April 1, 1995. Sponsored by NECUSE and Wellesley College
http://www.wellesley.edu/CS/forum/pcc.html

Extractions: David Kotz, Dartmouth College: "A Programming Language for Teaching Parallel Computing to First-year Students" [2K HTML with 24K GIF] Greg Wilson, U. Toronto "Teaching Horses to Whistle: Parallel Computing and the Undergraduate Computational Science Curriculum" [51K PostScript] Guy Blelloch and Jonathan Hardwick, Carnegie-Mellon University: "Nesl: A language for teaching parallel algorithms" [1K HTML] Panagiotis T. Metaxas , Wellesley College: Teach Ideas, Not Programming Tricks" [20K PDF] Thomas Braeunl, U. Stuttgart: "Data-Parallel Image Processing in Parallaxis" [4996K PostScript] John Savage, Brown University: "Integrating Parallelism in the First Theory Course." [1K HTML] Alan Edelman, MIT [2K HTML with larger GIF] "Parallel Computing: What the oldtimers have always known and what students really need to know" Arnold L. Rosenberg, UMASS-Amherst: "Thoughts on Parallel Computing in a Computer Science Curriculum" [68K PostScript] Janusz Zalewski, Embry-Riddle Aeronautical University:
ACM Crossroads Parallel Computing With Linux
Article about choosing hardware and configuring a Beowulf.
http://www.acm.org/crossroads/xrds6-1/parallel.html

Extractions: Parallel Computing With Linux By Forrest Hoffman and William Hargrove Linuxis just now making a significant impact on the computing industry, but it has been a powerful tool for computer scientists and computational scientists for a number of years. Aside from the obvious benefits of working with a freely-available, reliable, and efficient open source operating system [ ], the advent of Beowulf-style cluster computingpioneered by Donald Becker, Thomas Sterling, et al. [ ]. If a computational problem can be solved in a loosely-coupled distributed memory environment, a Beowulf clusteror Pile of PCs (POP)may be the answer; and it "weighs in" at a price point traditional parallel computer manufacturers cannot touch. Figure 1: The Stone SouperComputer at Oak Ridge National Laboratory. We became involved in cluster computing more than two years ago, after developing a proposal for the construction of a Beowulf cluster to support a handful of research projects. The proposal was rejected, but because we had already begun development of a new high-resolution landscape ecology application, we decided to build a c lusterout of surplus PCs (primarily Intel 486s) destined for salvage. We began intercepting excess machines at federal facilities in Oak Ridge, Tennessee, and processing them into usable nodes. By September 1997, we had a functional parallel computer system built out of no-cost hardware. Today we have a constantly-evolving 126 node highly heterogeneous Beowulf-style cluster, called the Stone SouperComputer (see
Vls.icm.edu.pl/cgi-bin/sciserv.pl?collection=elsev
ParCo99 Home Pageparallel computing conference. Delft, The Netherlands.
http://vls.icm.edu.pl/cgi-bin/sciserv.pl?collection=elsevier&journal=01678191
CS-551: Parallel Computing: Models, Languages And Architectures
Computer Science Department College of Arts and Sciences CS551 / Fall 1994 parallel computing Models, Languages, and Architectures
http://cs-www.bu.edu/faculty/best/crs/cs551/Home.html

Extractions: Parallel Computing: Models, Languages, and Architectures Course Materials This document has been prepared by Professor Azer Bestavros best@cs.bu.edu > as the WWW Home Page for CS-551 , which is part of the NSF -funded undergraduate curriculum on parallel computing at BU. This page has been created on May 12, 1994 and has been updated last on October 4, 1994.
CFD Resources Online - Parallel Computers
Parallel Info. Internet parallel computing Archive Distributing Computing for Aerosciences Applications Proceedings Supercomputing and Parallel
http://www.cfd-online.com/Resources/cgi-bin/parallel.cgi
Parallel And Distributed Computing Lab Of The VUB
Top/Computers/Parallel_Computing/Projects
http://parallel.vub.ac.be

Extractions: Internet Explorer version 3.0 or , you'll have a much more pleasant experience navigating around this site. Opera Users: Although Opera 3.0 supports JavaScript, there is a bug in their implementation which prevents the menu system on this site from working. Opera 3.2 fixes the problem. Note: If you have any problems with this site, please contact the Webmaster. Click here to see the non-JavaScript version of this site.
WANG'S BOOKSHELF (Parallel Computing)
Welcome to Jonathan Wang s Bookshelf on parallel computing. WELCOME IRIS.umcs.maine.edu Why parallel computing? ( Introduction ) How fast can it be?
http://www.umcs.maine.edu/~shamis/wang.html

Extractions: How fast can it be? (The top 500 super computers, in postscript, size 10M) Contents: Distributed Batch Processing Parallel Computing Message Passing Shared Object Misc (yet to be sorted) Super Computers/labs Compiler/Parallelizer Benchmarks Fault Tolerance and Load Balance Parallel Software Comprehensive Links at Other Institutes Personal Stuff Mail Drop 1. Distributed Batch Processing dqs Distributed Queueing System, Tom Green (green@scri.fsu.edu), Florida State University nqs Network Queueing System, Brent A. Kingsbury, Sterling Software Inc. Another version from CERN. CONDOR Mike Litzkom (mike@cs.wisc.edu), Univeristy of Wisconsin DJM , Distributed Job Manager, University of Minnesota. LSBATCH, Utopia LSF Commercial product, documents only. University of Toronto network batch processing summery by Norbert Juffa (norbert@iit.com) A Comparison of Queueing, Cluster and Distributed Computing Systems
Parallel Computing - Wikipedia, The Free Encyclopedia
parallel computing is the simultaneous execution of the same task (split up It should not be imagined that successful parallel computing is a matter of
http://en.wikipedia.org/wiki/Parallel_computing

Extractions: Parallel computing is the simultaneous execution of the same task (split up and specially adapted) on multiple processors in order to obtain faster results. edit The term parallel processor is sometimes used for a computer with more than one processor , available for parallel processing. Systems with thousands of such processors are known as massively parallel There are many different kinds of parallel computers (or "parallel processors"). They are distinguished by the kind of interconnection between processors (known as "processing elements" or PEs) and between processors and memories. Flynn's taxonomy also classifies parallel (and serial) computers according to whether all processors execute the same instructions at the same time ( single instruction/multiple data SIMD ) or each processor executes different instructions ( multiple instruction/multiple data MIMD ). Parallel processor machines are also divided into symmetric and asymmetric multiprocessors, depending on whether all the processors are capable of running all the operating system code and, say, accessing I/O devices or if some processors are more or less privileged.
Manning: Distributed And Parallel Computing
Distributed and parallel computing is a comprehensive survey of the Many books on parallel computing have been published during the last 10 years or so.
http://www.manning.com/books/el-rewini

Extractions: Home Ordering Info Shopping Cart Manage My Account ... Distributed and Parallel Computing Sample Chapters Table of Contents Index Introduction ... Book Reviews Why small is sweet? Eric Pascarello more... Java .NET Perl XML ... All by Title Manning Contact Us FAQs ebooks ... Jobs Manning Publications Co. 209 Bruce Park Avenue Greenwich, CT 06830 Distributed and Parallel Computing Hesham El-Rewini and Ted G. Lewis ISBN: 1884777511 Hardbound print book: $60.00 Currently Out of Stock Send email to webmaster@manning.com for more information. Distributed and Parallel Computing is a comprehensive survey of the state-of-the-art in concurrent computing. It covers four major aspects: Cutting across these broad topical areas are the various "programming paradigms", e.g., data parallel, control parallel, and distributed programming. After developing these fundamental concepts, the authors illustrate them in a wide variety of algorithms and programming languages. Of particular interest is the final chapter which shows how Java can be used to write distributed and parallel programs. This approach gives the reader a broad, yet insightful, view of the field. Many books on parallel computing have been published during the last 10 years or so. Most are already outdated since the themes and technologies in this area are changing very rapidly. Particularly, the notion that parallel and distributed computing are two separate fields is now beginning to fade away; technological advances have been bridging the gap.
Index Of /~bernard
Indian Institute of Technology, Bombay Information Appliances, Electronic Commerce, Java Security, parallel computing
http://www.it.iitb.ac.in/~bernard/
Mannheim University Linux Homepage
Linux Logo Linux parallel computing at the University of Mannheim. Pentium Farm. Pentium Farm, GO there parallel computing with Linux, Go there
http://suparum.rz.uni-mannheim.de/Linux/

Extractions: Pentium Farm Pentium Farm is a project involving 10 Linux SMP Pentiums connected to act as a cluster for parallel proccessing. The System became operational august 1996. This system is used primarily for research and educational activities. Currently using PVM, MPI,POSIX threads and other tools. The official site (in german) explains the backgrounds and the history of parallel Computing at the University of Mannheim . For more Information about the project please email us or click here IWR - RUM Cooperation Myrinet PentiumPro Cluster A cooperation between the Interdisciplinary Center for Scientific Computing at the University of Heidelberg (IWR) and the Computing Center of the University of Mannheim (RUM). Within this cooperation we provide interessted scientists of the IWR and the University of Mannheim with a Pentium Pro Cluster connected by fast Myrinet communication hardware.
Documentation Library
Online access to AIX version 4.3 reference books, including general user information, system management, product guides, parallel computing, and technical specifications.
http://publib.boulder.ibm.com/cgi-bin/ds_form

Extractions: Documentation Library Catalan Czech Dutch (Belgium) English French German Hungarian Italian Japanese Korean Polish Portuguese Russian Slovakian Spanish Traditional Chinese Search for: Type of Match Required: HELP PHRASE, all words in order ALL these words, any order ONE or MORE of these words, any order TIPS
Related Links
FTP parallel computing stuff from Centre for Intelligent Information Processing Systems Languages, Compilers and Libraries for parallel computing
http://www.ee.uwa.edu.au/~paracomp/links.html
Cluster Computing Info Centre
Links to parallel computing resources.
http://www.buyya.com/cluster
Parallel And Distributed Computing Resources
Related indexes include Nan Schaller s parallel computing Page, A list of Supercomputing Centers and parallel computing is maintained at IEEE s
http://www.scs.carleton.ca/~csgs/resources/pdc.html

Extractions: Resources The Computer Science Bibliography Glimpse Server maintains a searchable list of Bibliographies on Parallel Processing and Bibliographies on Distributed Computing and Networking Among online textbooks are Designing and Building Parallel Programs by Ian Foster, and Parallel Computing Works by Geoffrey C. Fox, Roy D. Williams, and Paul C. Messina. Course notes are available online for Parallel Processing at Cardiff University, and
.::Welcome To HPClab::.
University of Patras High Performance Computing Lab researches system software for parallel computing. Project descriptions and papers.
http://www.hpclab.ceid.upatras.gr/
PCURRIC
An initiative of OSC, promoting parallel computing in undergraduate and graduate The parallel computing in Education Consortium was established in
http://www.osc.edu/education/PCURRIC/index.shtml

Extractions: pcurric@osc.edu ORGANIZATION: The Parallel Computing in Education Consortium was established in February 1996 and comprises educators at Ohio institutions of higher learning who share a common interest in parallel computing and its integration into the undergraduate and graduate curricula. The consortium capitalizes on the central location of OSC for meetings and on the variety of parallel platforms available at OSC for classroom use PREVIOUS INVITED PRESENTATIONS: Using Java to Teach Parallelism , by Nan Schaller Rochester Institute of Technology 10 Years of Parallel Computing and Computational Science at Boston University , by Roscoe Giles Boston University Buffalo's Center for Computational Research: Overview and Education , by Russ Miller and E. Bruce Pitman
PARALLEL COMPUTING LAB AT NMSU
At New Mexico State University. Configuration information and diagrams, research, publications, and links to parallel programming information.
http://www.cs.nmsu.edu/pcl/
ParaDucks Research Group, University Of Oregon
Led by Dr. Allen Malony and Dr. Janice Cuny, we are working on several projects related to parallel computing, performance analysis, computational science,
http://www.cs.uoregon.edu/paracomp/
Parallel Computing On APE Systems
Since many years these kind of massivelyparallel computers have played an important role for simulations of Quantum Chromodynamics (QCD), the theory of
http://www-zeuthen.desy.de/ape/

Extractions: apeNEXT News In February 2004 a first full board of apeNEXT has been put into operation and tested successfully. apeNEXT is the newest generation of APE special purpose high-performance computers developed by INFN, DESY and University of Paris-Sud. A single board with 16 processors operates at a peak speed of about 20 GFlops. In autumn 2004 the APE collaboration plans to commission two prototype machines with 512 processors each at a price of 0.5 Euro/MFlops peak speed. This will be the next milestone on the path towards commissioning large multi-TFlops apeNEXT installations. APE computers are developed to satisfy the huge amounts of compute power in theoretical particle physics in a cost-efficient way. Since many years these kind of massively-parallel computers have played an important role for simulations of Quantum Chromodynamics ( QCD ), the theory of strong interactions. The APE machines are based on the simple but efficient Single Instruction Multiple Data ( SIMD ) architecture. The custom designed

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