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Languages and Compilers for Parallel Computing - Utpal Banerjee; David Gelernter; Alex Nicolau; David Padua
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ISBN: 9783540483083

This book contains papers selected for presentation at the Sixth Annual Workshop on Languages and Compilers for Parallel Computing. The workshop washosted by the Oregon Graduate Institute… Mehr…

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Languages and Compilers for Parallel Computing - neues Buch

ISBN: 9783540483083

This book contains papers selected for presentation at the Sixth Annual Workshop on Languages and Compilers for Parallel Computing. The workshop washosted by the Oregon Graduate Institute… Mehr…

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Languages and Compilers for Parallel Computing - Utpal Banerjee; David Gelernter; Alex Nicolau; David Padua
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Utpal Banerjee; David Gelernter; Alex Nicolau; David Padua:
Languages and Compilers for Parallel Computing - neues Buch

ISBN: 9783540483083

Computer Science; Computer System Implementation; Computation by Abstract Devices; Programming Techniques; Programming Languages, Compilers, Interpreters; Arithmetic and Logic Structures;… Mehr…

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Languages and Compilers for Parallel Computing - Utpal Banerjee; David Gelernter; Alex Nicolau; David Padua
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Utpal Banerjee; David Gelernter; Alex Nicolau; David Padua:
Languages and Compilers for Parallel Computing - neues Buch

ISBN: 9783540483083

Computer Science; Computer System Implementation; Computation by Abstract Devices; Programming Techniques; Programming Languages, Compilers, Interpreters; Arithmetic and Logic Structures;… Mehr…

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Languages and Compilers for Parallel Computing
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9783540483083

Detailangaben zum Buch - Languages and Compilers for Parallel Computing


EAN (ISBN-13): 9783540483083
Herausgeber: Springer Science+Business Media

Buch in der Datenbank seit 2017-02-16T12:32:35+01:00 (Berlin)
Detailseite zuletzt geändert am 2023-12-07T17:06:24+01:00 (Berlin)
ISBN/EAN: 9783540483083

ISBN - alternative Schreibweisen:
978-3-540-48308-3
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: david gelernter, banerjee
Titel des Buches: parallel computing

Daten vom Verlag:

Autor/in: Utpal Banerjee; David Gelernter; Alex Nicolau; David Padua
Titel: Lecture Notes in Computer Science; Languages and Compilers for Parallel Computing - 6th International Workshop, Portland, Oregon, USA, August 12 - 14, 1993. Proceedings
Verlag: Springer; Springer Berlin
655 Seiten
Erscheinungsjahr: 2005-07-13
Berlin; Heidelberg; DE
Sprache: Englisch
96,29 € (DE)
99,00 € (AT)
118,00 CHF (CH)
Available
XIII, 655 p.

EA; E107; eBook; Nonbooks, PBS / Informatik, EDV/Informatik; Systemanalyse und -design; Verstehen; Fortran; Performance; Scala; compiler; data structure; data structures; logic; C; Computer System Implementation; Theory of Computation; Programming Techniques; Compilers and Interpreters; Arithmetic and Logic Structures; Computer Graphics; Computer Science; Theoretische Informatik; Computerprogrammierung und Softwareentwicklung; Compiler und Übersetzer; Computerhardware; Grafikprogrammierung; BC

Early experiences with Olden.- Arbitrary order operations on trees.- Analysis of dynamic structures for efficient parallel execution.- On automatic data structure selection and code generation for sparse computations.- Synchronization issues in data-parallel languages.- ZPL: An array sublanguage.- Event-based composition of concurrent programs.- Adaptive parallelism on multiprocessors: Preliminary experience with Piranha on the CM-5.- Slicing analysis and indirect accesses to distributed arrays.- Do&Merge: Integrating parallel loops and reductions.- Automatic support for data distribution on distributed memory multiprocessor systems.- A compilation approach for Fortran 90D/HPF compilers.- A framework for exploiting data availability to optimize communication.- The alignment-distribution graph.- An overview of a compiler for scalable parallel machines.- Toward a compile-time methodology for reducing false sharing and communication traffic in shared virtual memory systems.- Program transformation for locality using affinity regions.- Maximizing loop parallelism and improving data locality via loop fusion and distribution.- Align and distribute-based linear loop transformations.- Extending software pipelining techniques for scheduling nested loops.- A methodology for generating efficient disk-based algorithms from tensor product formulas.- Loop transformations for Prolog programs.- A multithreaded implementation of Id using P-RISC graphs.- Acceleration of first and higher order recurrences on processors with instruction level parallelism.- Efficient compile-time/run-time contraction of fine grain data parallel codes.- VISTA: The Visual Interface for Scheduling Transformations and Analysis.- Efficiently computing ?-nodes on-the-fly.- Construction of thinned gatedsingle-assignment form.- Automatic array privatization.- FIAT: A framework for interprocedural analysis and transformation.- An exact method for analysis of value-based array data dependences.- Symbolic analysis: A basis for parallelization, optimization, and scheduling of programs.- Towards a non-intrusive approach for monitoring distributed computations through perturbation analysis.- Efficient computation of precedence information in parallel programs.- Trace size vs parallelism in trace-and-replay debugging of shared-memory programs.- Parallel Program Graphs and their classification.
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