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Parallel Computing Programming: more books (100)

Introduction to Parallel Computing (2nd Edition) by Ananth Grama, George Karypis, et all 2003-01-26
Parallel Scientific Computing in C++ and MPI: A Seamless Approach to Parallel Algorithms and their Implementation by George Em Karniadakis, Robert M. Kirby II, 2003-06-16
Parallel Computing: Theory and Practice by Michael J. Quinn, 1993-09-01
Parallel Programming: for Multicore and Cluster Systems by Thomas Rauber, Gudula Rünger, 2010-03-10
Professional Parallel Programming with C#: Master Parallel Extensions with .NET 4 by Gaston Hillar, 2011-01-11
Scientific Parallel Computing by L. Ridgway Scott, Terry Clark, et all 2005-03-28
Introduction to Parallel Computing: Design and Analysis of Parallel Algorithms by Vipin Kumar, Ananth Grama, et all 1994-01
Principles of Parallel Programming by Calvin Lin, Larry Snyder, 2008-03-07
Parallel Computing: Numerics, Applications, and Trends
Parallel Programming: Techniques and Applications Using Networked Workstations and Parallel Computers (2nd Edition) by Barry Wilkinson, Michael Allen, 2004-03-14
The Sourcebook of Parallel Computing (The Morgan Kaufmann Series in Computer Architecture and Design)
CUDA by Example: An Introduction to General-Purpose GPU Programming by Jason Sanders, Edward Kandrot, 2010-07-29
Patterns for Parallel Programming by Timothy G. Mattson, Beverly A. Sanders, et all 2004-09-25
An Introduction to Parallel Programming by Peter Pacheco, 2011-01-18

lists with details

SAL- Parallel Computing - Programming Languages & Systems - Maisie
SAL Home parallel programming Languages Systems Other Linkshttp//may.cs.ucla.edu (UCLA parallel computing Laboratory)
http://ceu.fi.udc.es/SAL/C/1/MAISIE.html

Extractions: Maisie Maisie is a C-based simulation language that can be used for sequential and parallel execution of discrete-event simulation models. It can also be used as a parallel programming language. An object (also referred to as a PP for physical process) or set of objects in the physical system is represented by a logical process or LP. Interactions among PPs (events) are modeled by timestamped message exchanges among the corresponding LPs. One of the important distinguishing features of Maisie is its ability to execute a discrete-event simulation model using several different asynchronous parallel simulation protocols on a variety of parallel architectures. Maisie is designed to cleanly separate the description of a simulation model from the underlying simulation protocol, sequential or parallel, used to execute it. Maisie has a new generation called Parsec Current Version: License Type: Free for education, research, and non-profit purposes Home Site: http://may.cs.ucla.edu/projects/maisie/ Source Code Availability: Yes Available Binary Packages:
Wolfgang Schreiner
Johannes Kepler University parallel and distributed computing, generic programming, semantics of programming languages, parallel functional languages, symbolic and algebraic computation.
http://www.risc.uni-linz.ac.at/people/schreine/
High Performance Computing UCLA Plasma Simulation Group
Links to papers on ObjectOriented programming in Fortran 90, Optimization techniques forÂ RISC processors, parallel Particle-in-Cell Codes, parallel computing Tutorial, and Modernization of Fortran Legacy Codes.
http://exodus.physics.ucla.edu/high performance computing/high.performance.comp.

Extractions: On this Page: Web pages Publications The Purpose of High Performance Computing is to develop strategies, algorithms, and techniques to enable effective use of high performance computers for the solution of large scale scientific problems. Appleseed: Macintosh Cluster Object-Oriented Programming in Fortran 90 Optimization techniques for RISC processors ... Modernization of Fortran Legacy Codes V. K. Decyk, C. D. Norton, and B. K. Szymanski, "Fortran 90 'Gotchas' (Parts 1-3)," ACM Fortran Forum, vol. 18, no. 2, p. 22, 1999, vol. 18, no. 3, p. 26, 1999, and vol. 19, no. 1, p. 10, 1999. J. Qiang, R. Ryne, S. Habib, and V. Decyk, "An Object-Oriented Parallel Particle-in-Cell code for Beam Dynamics Simulation in Linear Accelerators," Proc. Supercomputing 99, Portland, OR, Nov. 1999, CD-ROM. V. K. Decyk, D. E. Dauger, and P. R. Kokelaar, "Plasma Physics Calculations on a Parallel Macintosh Cluster," Physica Scripta T84, 85 (2000). V. K. Decyk, C. D. Norton, and B. K. Szymanski, "How to support inheritance and run-time polymorphism in Fortran 90", Computer Physics Communications V. K. Decyk, C. D. Norton, and B. K. Szymanski, "How to Express C++ Concepts in Fortran 90,"
Bookpool: Introduction To Parallel Computing, 2nd Edition
Sourcebook of parallel computing; Jack Dongarra, et al, $53.50, 11% Off! OpenMP A Standard for Directive Based parallel programming.
http://www.bookpool.com/sm/0201648652

Extractions: A complete end-to-end source of information on almost all aspects of parallel computing from introduction to architectures to programming paradigms to algorithms to programming standards. The only book to have complete coverage of traditional Computer Science algorithms (FFT, sparse matrix computations, N-body methods), and data intensive algorithms (search, dynamic programming, data-mining). The modular nature of the resentation enables instuctors to teach a variety of undergraduate- and graduate-level courses. By selecting appropriate material from different parts of the book, instructors can use it to teach a variety of courses such as Introduction to Parallel Computing, Parallel Programming, Design and Analysis of Parallel Algorithms, and High Performance Computing.
Foundations Of Multithreaded, Parallel, And Distributed Programming - Addison-We
This book teaches the fundamental concepts of multithreaded, parallel and distributed computing. Emphasizes how to solve problems, with correctness the primary concern and performance an important, but secondary, concern. (Gregory R. Andrews)
http://www.aw-bc.com/catalog/academic/product/0,1144,0201357526,00.html

Extractions: Select a Discipline Chemistry Computer Science Economics Finance Life Science Mathematics Physics / Astronomy Statistics by Keyword by Author by Title by ISBN Advanced Search View Cart ABOUT THIS PRODUCT Description Table of Contents Features Appropriate Courses About the Author(s) PACKAGE OPTIONS Valuepack(s) RESOURCES Discipline-Specific RELATED TITLES Parallel Programming / Concurrent Programming (Computer Science) Parallel Computing (Computer Science) Distributed Systems (Computer Science) Foundations of Multithreaded, Parallel, and Distributed Programming View Larger Image Gregory R. Andrews University of Arizona Add to Cart Instructor Exam Copy Print Product Information Description Foundations of Multithreaded, Parallel, and Distributed Programming covers, and then applies, the core concepts and techniques needed for an introductory course in this subject. Its emphasis is on the practice and application of parallel systems, using real-world examples throughout. Greg Andrews teaches the fundamental concepts of multithreaded, parallel and distributed computing and relates them to the implementation and performance processes. He presents the appropriate breadth of topics and supports these discussions with an emphasis on performance.
Parallel Computing Links
An Introduction to parallel computing, Alan Rea, The Queen s University of BelfastIntroduction to parallel programming with C++, John Steel, Queen Mary and
http://www.indiana.edu/~rac/hpc/links.html
Chilean Computing Week, Punta Arenas, Nov. 5-9, 2001
Including the following events XXI International Conference of the Chilean Computer Science Society; IX Chilean Congress on computing; V Workshop on parallel and distributed systems; III Congress on Higher Education in Computer Science; II Workshop on Artificial Intelligence; I Workshop on Software Engineering; ACM SouthAmerican Region programming Contest; Tutorials and invited talks. University of Magellan, Punta Arenas, Chile; 59 November 2001.
http://www.dcc.uchile.cl/~mmarin/sccc/english.html
IS PARALLEL COMPUTING DEAD?
Is parallel computing really dead? At the very least, it is undergoing a major parallel computing architecture with a new programming interface emerges,
http://www.crpc.rice.edu/newsletters/oct94/director.html
Kyaw Tun
parallel computing toolbox for Matlab. Tutorial for mixed language programming between Fortran and BCB 6.
http://www.geocities.com/kyawtuns/
Buyya, Rajkumar
Monash University Computer Architecture, Operating Systems, Compilers, programming Paradigms, parallel and Distributed computing, Cluster computing, parallel I/O.
http://www.rdt.monash.edu.au/~rajkumar/
Parallel Computing -- Programming --Libraries
parallel computing programming Libraries. Clustet computing Info Centre Links to parallel computing resources. Concurrent Systems - Links to
http://www.edinformatics.com/computers/parallel_computing.htm

Extractions: See also: Sites: ParaScope *Cool Site* - Links to supercomputing centers, high performance computing journals, vendors, conferences, and governmental agencies. Chemnitz Cluster Computing Homepage - Links to programming projects, calls for papers, software and documentation, and other resources. Clustet Computing Info Centre - Links to parallel computing resources. Concurrent Systems - Links to research groups, parallel tools, journals, and conferences. Grid Computing Info Centre - An initiative to establish a global grid of computing power. Links to conferences, development, and related information. High Performance Cluster Computing Resources - Links to cluster management systems, environments, software, documents, conferences, and teaching slides.
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/
Introduction To Parallel Computing
parallel computing is an evolution of serial computing that attempts to emulate In this model, any two or more parallel programming models are combined.
http://www.llnl.gov/computing/tutorials/parallel_comp/

Extractions: This presentation covers the basics of parallel computing. Beginning with a brief overview and some concepts and terminology associated with parallel computing, the topics of parallel memory architectures and programming models are then explored. These topics are followed by a discussion on a number of issues related to designing parallel programs. The last portion of the presentation is spent examining how to parallelize several different types of serial programs. Level/Prerequisites: None
Distributed Systems Laboratory
Research focus includes programming support for parallel and distributed computing, quality of service, and security.
http://www-fp.mcs.anl.gov/dsl/index.html

Extractions: University of Chicago The Distributed Systems Laboratory (DSL) is a research and software development group within the Mathematics and Computer Science (MCS) Division at Argonne National Laboratory and the Department of Computer Science at The University of Chicago A Grid is a persistent infrastructure that supports computation-intensive and data-intensive collaborative activities, especially when these activities span organizations. Grid computing facilitates the formation of "Virtual Organizations" for shared use of distributed computational resources. Under the leadership of Dr. Ian Foster , the DSL hosts research and development activities designed to realize the potential of "Grids" for computational science and engineering. Together with Carl Kesselman's Center for Grid Technologies at the University of Southern California Information Sciences Institute , we are co-founders of the Globus Project TM , a highly-collaborative international and multidisciplinary effort to make Grid computing a reality.
WWW Resources On BSP Computing
Abstract Bulk Synchronous parallelism (BSP) is a parallel programming model that Sparse Matrix Computations on Bulk Synchronous parallel Computers
http://web.comlab.ox.ac.uk/oucl/work/bill.mccoll/oparl.html

Extractions: Would you like to be able to write architecture-independent but efficient parallel code? Have you tried MPI and PVM, and would like a simpler alternative? Scalable computing will, over the next few years, become the normal form of computing. Software for scalable computing will have to be fully portable across the whole range of general-purpose parallel architectures, from simple clusters of PCs to large parallel supercomputers. It will also have to be efficient, achieving optimised performance, in a predictable way, on all such architectures. The Bulk Synchronous Parallel (BSP) model provides a discipline for the design, analysis and implementation of universal software of this kind. These pages provide an introduction to the theory and practice of BSP computing, and show how it is currently being used to produce portable parallel software for industrial applications. The WWW resources described here provide an introduction to the principles of BSP cost modeling and performance prediction. They also show how to design, analyse and implement BSP programs using the various software tools that have been developed to provide a BSP Programming Environment.
Afdeling Informatica, Faculteit Der Exacte Wetenschappen. Vrije Universiteit Ams
Division of Mathematics and Computer Science. Research interests center around software engineering; parallel and distributed systems, including programming, distributed shared objects, operating systems support, and wide area cluster computing; agent technology; computational intelligence; knowledge representation and reasoning; lambda calculus; programming language semantics; type theory; and proof checking.
http://www.cs.vu.nl/
Supercomputing And Parallel Computing Research Groups
C++ classes for parallel programming. CAMAS Computer Aided Migration of ApplicationsSystem. Tools to parallelize existing dusty deck programs.
http://www.cs.cmu.edu/~scandal/research-groups.html

Extractions: Supercomputing and Parallel Computing Research Groups Index Conferences Vendors Supercomputers Note: I've moved on to another job , and I can no longer afford the time to keep this site updated. I recommend IEEE's ParaScope as a good alternative. Academic research groups working in the field of supercomputing and parallel computing. High performance simulations of lattice gauge theories and QCD.
Department Of Computer Science, University College Cork
Department of Computer Science. Research areas Algorithms, Unified computing, Computer Communications, Security, Computer Simulation, Constraint Based Reasoning, Digital Video Compression, Expert Systems, Intelligent Information Agents, Neural Networks, ObjectOriented Database Systems, Distributed and parallel Processing, Semantics of programming languages, Theory and Formal Methods.
http://www.cs.ucc.ie/

Extractions: University College Cork... Department Courses ... Internal UCC occupies a unique place in the history of Information Technology. Boolean algebra, which provides the mathematical basis for computer design, was named after George Boole the first Professor of Mathematics at UCC. Today the Department of Computer Science is one of the largest academic departments within University College Cork.
Supercomputing And Parallel Computing Resources
Program PPoPP 97 (Symposium on Principles and Practice of parallel programming) . CFP PCRCW 97 (Workshop on parallel computing, Routing,
http://www.cs.cmu.edu/~scandal/resources.html

Extractions: Supercomputing and Parallel Computing Resources Conferences Research Groups Vendors Supercomputers Note: I've moved on to another job , and I can no longer afford the time to keep this site updated. I recommend IEEE's ParaScope as a good alternative. From serious journals to frivolous pictures: If you can't find it from one of these pages, it's not worth finding: May 14, 1997 Program: ISUG'97 (Intel Supercomputer Users Group Annual Conference). Program: PPoPP'97 (Symposium on Principles and Practice of Parallel Programming). Program: PTOOLS'97 (Parallel Tools Consortium). CFP: PCRCW'97 (Workshop on Parallel Computing, Routing, and Communication). Program: COORDINATION'97 (Conference on Coordination Models and Languages).
Welcome To The Department Of Computer Science At Queen Mary, University Of Londo
Department of Computer Science. Research groups Information, media and communication; Logic and foundations of programming; parallel computing; Vision; Risk assessment and decision analysis; Knowledge representation and reasoning; Distributed systems. Host for Hypatia, a directory of research workers in Computer Science and Pure Mathematics and a library of their papers.
http://www.dcs.qmw.ac.uk/

Extractions: CLEARING PLACES LIKELY TO BE AVAILABLE Computer science in aid of the hearing impaired Sodarace hits the road ... and you can help cs4fn, the fun side of computer science, website launched Research spotlight Our world-leading computer scientists work on core developments, like building fast reliable networks and smart secure software, as well as novel technologies such as video surveillance for security, tools to enhance augmented human interaction, improved methods for information retrieval and software to support decision-making. Here is a handful of some of our recent applications: Motion camouflage in artificial systems New tools for playing music with your friends Recognising faces ... Visit our research pages to find out more about our research groups' work. Teaching excellence Our enthusiasm for our research keeps our teaching exciting and up to date. This was reflected within the latest teaching quality assessment carried out by the Quality Assurance Agency for Higher Education in Nov 2004, which awarded the highest possible rating of excellence and praised good practice, student achievement and quality of learning opportunities.

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