Languages and Compilers for Parallel Computing - neues Buch

EAN (ISBN-13): 9783540482017
Herausgeber: Springer Science+Business Media

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ISBN/EAN: 9783540482017

ISBN - alternative Schreibweisen:
978-3-540-48201-7
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: david gelernter, banerjee
Titel des Buches: parallel computing

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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 - 5th International Workshop, New Haven, Connecticut, USA, August 3-5, 1992. Proceedings
Verlag: Springer; Springer Berlin
586 Seiten
Erscheinungsjahr: 2005-07-05
Berlin; Heidelberg; DE
Sprache: Englisch
53,49 € (DE)
55,00 € (AT)
59,00 CHF (CH)
Available
X, 586 p.

EA; E107; eBook; Nonbooks, PBS / Informatik, EDV/Informatik; Theoretische Informatik; Verstehen; C programming language; C++ programming language; Fine-Grain Parallelism; Parallel Computing; Parallel Loops; Parallel Programming Languages; Parallele Compiler; Parallele Loops; Paralleles Rechnen; Scheduling; algorithms; data structure; data structures; logic; programming language; C; Theory of Computation; Computer System Implementation; Compilers and Interpreters; Programming Techniques; Arithmetic and Logic Structures; Computer Graphics; Computer Science; Systemanalyse und -design; Compiler und Übersetzer; Computerprogrammierung und Softwareentwicklung; Computerhardware; Grafikprogrammierung; BC

Compilation of a highly parallel Actor-Based Language.- A concurrent execution semantics for Parallel Program Graphs and Program Dependence Graphs.- Using profile information to assist advanced compiler optimization and scheduling.- A hierarchical parallelizing compiler for VLIW/MIMD machines.- Dynamic dependence analysis: A novel method for data dependence evaluation.- On the feasibility of dynamic partitioning of pointer structures.- Compiler analysis for irregular problems in fortran D.- Data ensembles in Orca C.- Compositional C++: Compositional parallel programming.- Data parallelism and Linda.- Techniques for efficient execution of fine-grained concurrent programs.- Computing per-process summary side-effect information.- Supporting SPMD execution for dynamic data structures.- Determining transformation sequences for loop parallelization.- Compiler optimizations for massively parallel machines: Transformations on iterative spatial loops.- Handling distributed data in Vienna Fortran procedures.- On the synthesis of parallel programs from tensor product formulas for block recursive algorithms.- Collective loop fusion for array contraction.- Parallel hybrid data flow algorithms: A case study.- A control-parallel programming model implemented on SIMD hardware.- C**: A large-grain, object-oriented, data-parallel programming language.- A calculus of gamma programs.- A Linda-based runtime system for a distributed logic language.- Parallelizing a C Dialect for distributed memory MIMD machines.- A singular loop transformation framework based on non-singular matrices.- Designing the McCAT compiler based on a family of structured intermediate representations.- Doany: Not just another parallel loop.- Data dependence and data-flow analysis of arrays.- Experience with techniquesfor refining data race detection.- Extending the Banerjee-Wolfe test to handle execution conditions.- A FORTRAN compiling method for dataflow machines and its prototype compiler for the parallel processing system-Harray.- Distributed slicing and partial re-execution for distributed programs.- A program's eye view of Miprac.- Symbolic program analysis and optimization for parallelizing compilers.- Utilizing new communication features in compilation for private-memory machines.