Languages and Compilers for Parallel Computing : 9th International Workshop, LCPC'96, San Jose, California, USA, August 8-10, 1996, Proceedings - Taschenbuch

EAN (ISBN-13): 9783540630913
ISBN (ISBN-10): 3540630910
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 1997
Herausgeber: Springer Berlin Heidelberg
632 Seiten
Gewicht: 0,941 kg
Sprache: eng/Englisch

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ISBN/EAN: 9783540630913

ISBN - alternative Schreibweisen:
3-540-63091-0, 978-3-540-63091-3
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: david gelernter, banerjee, padua, alex nicol, david fine
Titel des Buches: languages compilers for parallel computing, proceedings the 9th international, usa california, computers, compiler, california santa way, santa workshop

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Daten vom Verlag:

Autor/in: David Sehr; Utpal Banerjee; David Gelernter; Alex Nicolau; David Padua
Titel: Lecture Notes in Computer Science; Languages and Compilers for Parallel Computing - 9th International Workshop, LCPC'96, San Jose, California, USA, August 8-10, 1996, Proceedings
Verlag: Springer; Springer Berlin
618 Seiten
Erscheinungsjahr: 1997-06-11
Berlin; Heidelberg; DE
Sprache: Englisch
106,99 € (DE)
109,99 € (AT)
118,00 CHF (CH)
Available
XIV, 618 p.

BC; Hardcover, Softcover / Informatik, EDV/Programmiersprachen; Compiler und Übersetzer; Verstehen; Automat; Parallelarchitekturen; Parallele Kompiler; Scheduling; algorithm; algorithms; compiler; high perfomance computing; optimization; parallel algorithms; parallel architectures; parallel compilers; parallel languages; Compilers and Interpreters; Operating Systems; Programming Techniques; Theory of Computation; Arithmetic and Logic Structures; Betriebssysteme; Computerprogrammierung und Softwareentwicklung; Theoretische Informatik; Computerhardware; EA

Cross-loop reuse analysis and its application to cache optimizations.- Locality analysis for distributed shared-memory multiprocessors.- Data distribution and loop parallelization for shared-memory multiprocessors.- Data localization using loop aligned decomposition for macro-dataflow processing.- Exploiting monotone convergence functions in parallel programs.- Exact versus approximate array region analyses.- Context-sensitive interprocedural analysis in the presence of dynamic aliasing.- Initial results for glacial variable analysis.- Compiler algorithms on if-conversion, speculative predicates assignment and predicated code optimizations.- Determining asynchronous pipeline execution times.- Compiler techniques for concurrent multithreading with hardware speculation support.- Resource-Directed Loop Pipelining.- Integrating program optimizations and transformations with the scheduling of instruction level parallelism.- Bidirectional scheduling: A new global code scheduling approach.- Parametric computation of margins and of minimum cumulative register lifetime dates.- Global register allocation based on graph fusion.- Automatic parallelization for non-cache coherent multiprocessors.- Lock coarsening: Eliminating lock overhead in automatically parallelized object-based programs.- Are parallel workstations the right target for parallelizing compilers?.- Optimal reordering and mapping of a class of nested-loops for parallel execution.- Communication-minimal tiling of uniform dependence loops.- Communication-minimal partitioning of parallel loops and data arrays for cache-coherent distributed-memory multiprocessors.- Resource-based communication placement analysis.- Statement-level communication-free partitioning techniques for parallelizing compilers.- Generalized overlapregions for communication optimization in data-parallel programs.- Optimizing the representation of local iteration sets and access sequences for block-cyclic distributions.- Interprocedural array redistribution data-flow analysis.- HPF on fine-grain distributed shared memory: Early experience.- Simple qualitative experiments with a sparse compiler.- Factor-join: A unique approach to compiling array languages for parallel machines.- Compilation of constraint systems to procedural parallel programs.- A multithreaded substrate and compilation model for the implicitly parallel language pH.- Threads for interoperable parallel programming.- A programming environment for dynamic resource allocation and data distribution.- Dependence driven execution for data parallelism.- ?-SSA and its construction through symbolic interpretation.- Compiler support for maintaining cache coherence using data prefetching (extended abstract).- 3D visualization of program structure and data dependence for parallelizing compilers and parallel programming.- Side effect analysis on user-defined reduction functions with dynamic pointer-linked data structures.- Estimating minimum execution time of perfect loop nests with loop-carried dependences.- Automatic data and computation partitioning on scalable shared memory multiprocessors.- The loop parallelizer LooPo—announcement.- A generalized forall concept for parallel languages.- Memory optimizations in the Intel Reference Compiler.