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Parallel programming (Computer science) --- 005.275 --- 681.3*G --- Computer programming --- Parallel processing (Electronic computers) --- 681.3*G Mathematics of computing --- Mathematics of computing --- Programming --- Parallel programming (Computer science).

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Computer science. --- Algorithms. --- Computer science—Mathematics. --- Artificial intelligence. --- Bioinformatics. --- Theory of Computation. --- Algorithms. --- Mathematics of Computing. --- Artificial Intelligence. --- Bioinformatics.

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Computer science. --- Algorithms. --- Computer science—Mathematics. --- Artificial intelligence. --- Bioinformatics. --- Theory of Computation. --- Mathematics of Computing. --- Artificial Intelligence.

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CiE 2005: New Computational Paradigms http://www. illc. uva. nl/CiE/ ThecooperationComputabilityinEurope (CiE)isaninformalEuropeannetwork covering computability in theoretical computer science and mathematical logic, ranging from application of novel approaches to computation to set-theoretic analysesofin?nitarycomputingmodels. Thecooperationconsistsofelevenmain nodesandincludesover400researchers;itiscoordinatedfromLeeds(UK). More information about CiE can be found in Barry Cooper's introductory paper to this volume (p. 1) and at http://www. amsta. leeds. ac. uk/pure/staff/cooper/cie. html CiE 2005 was a conference on the special topic New Computational Pa- digms  and was held in Amsterdam in June 2005. It was initiated by and served as a focus point for the informal cooperation CiE. The topic of New Com- tational Paradigms  covers connections between computation and physical s- tems (e. g. , quantum computation, neural nets, molecular computation) but also higher mathematical models of computation (e. g. , in?nitary computation or real computation). Computability theory is central to large areas of theoretical computer science and mathematical logic. Traditionally, the computational model of the Turing machine (or mathematically equivalent models) has been used to reason about computation or computability. For general computability inquiries (with - bounded resources), the choice of the model of computation hardly matters (this fact is encapsulated in the so-called Church-Turing thesis ); this could change as soon as questions of e?ciency are investigated.

Computers. --- Algorithms. --- Computer science—Mathematics. --- Artificial intelligence. --- Bioinformatics. --- Theory of Computation. --- Algorithm Analysis and Problem Complexity. --- Mathematics of Computing. --- Artificial Intelligence. --- Bioinformatics. --- Algorithms.

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This book contains the Proceedings of the 5th Workshop on OpenMP Appli- tionsandTools(WOMPAT2004),whichtookplaceattheUniversityofHouston, Houston, Texas on May 17 and 18, 2004. Previous workshops in this series took place in Toronto, Canada, Fairbanks, Alaska, Purdue, Indiana, and San Diego, California.Thepurposeoftheworkshopwastobringtogetherusersanddevel- ers of the OpenMP API for shared memory parallel programming to disseminate their ideas and experiences and discuss the latest developments in OpenMP and its application. To support this aim, the program comprised a mixture of invited talks from research and industry, experience reports, and submitted papers, the last of which are presented in this volume. A tutorial introduction to OpenMP was held at the same location on May 18 by Ruud van der Pas from Sun Microsystems. Further, a two-day lab session called OMPlab was held immediately following the workshop and the tutorial on May 19 and 20, and was attended by both novice and advanced users. Many of the hardware vendors and several researchers gave in-depth tutorials on their softwareandmadetheirsystemsavailabletobothnoviceandadvancedattendees during OMPlab. Contributors to the WOMPAT 2004 OMPlab included IBM, Intel, Sun, the University of Tennessee, NASA, the University of Greenwich, Cornell University, the University of Oregon and the University of Houston. TheOpenMPAPIisawidelyacceptedstandardforhigh-levelsharedmemory parallel programming that was put forth by a consortium of vendors in 1997.

Software engineering. --- Computer engineering. --- Computer networks. --- Computer science. --- Computer science --- Software Engineering. --- Computer Engineering and Networks. --- Theory of Computation. --- Mathematics of Computing. --- Mathematics.