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2006, ISBN: 9783540725213

The 19th Workshop on Languages and Compilers for Parallel Computing was heldinNovember2006inNewOrleans,LouisianaUSA.Morethan40researchers from around the world gathered together to presen… Mehr…

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Languages and Compilers for Parallel Computing - neues Buch

2006, ISBN: 9783540725213

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Languages and Compilers for Parallel Computing - neues Buch

2006

ISBN: 9783540725213

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Languages and Compilers for Parallel Computing - neues Buch

2006, ISBN: 9783540725213

19th International Workshop, LCPC 2006, New Orleans, LA, USA, November 2-4, 2006, Revised Papers 19th International Workshop, LCPC 2006, New Orleans, LA, USA, November 2-4, 2006, Revised … Mehr…

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EAN (ISBN-13): 9783540725213
Erscheinungsjahr: 2006
Herausgeber: Springer Berlin Heidelberg

Buch in der Datenbank seit 2017-03-30T11:53:46+02:00 (Zurich)
Detailseite zuletzt geändert am 2021-07-03T12:25:43+02:00 (Zurich)
ISBN/EAN: 9783540725213

ISBN - alternative Schreibweisen:
978-3-540-72521-3
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: peng
Titel des Buches: parallel computing


Daten vom Verlag:

Autor/in: Gheorghe Almási; Calin Cascaval; Peng Wu
Titel: Theoretical Computer Science and General Issues; Lecture Notes in Computer Science; Languages and Compilers for Parallel Computing - 19th International Workshop, LCPC 2006, New Orleans, LA, USA, November 2-4, 2006, Revised Papers
Verlag: Springer; Springer Berlin
366 Seiten
Erscheinungsjahr: 2007-06-11
Berlin; Heidelberg; DE
Sprache: Englisch
53,49 € (DE)
55,00 € (AT)
59,00 CHF (CH)
Available
X, 366 p.

EA; E107; eBook; Nonbooks, PBS / Informatik, EDV/Programmiersprachen; Compiler und Übersetzer; Verstehen; Compiler; Session; Variable; bit-wise access; compiler optimization; compilers; concurrency; data compression; data structure; distributed memory systems; distributed systems; dynamic parallelization; garbage collection; optimization; programming; data structures; C; Compilers and Interpreters; Programming Techniques; Theory of Computation; Computer Communication Networks; Arithmetic and Logic Structures; Data Science; Computer Science; Computerprogrammierung und Softwareentwicklung; Theoretische Informatik; Netzwerk-Hardware; Computerhardware; Datenbanken; BC

Keynote I.- Compilation Techniques for Partitioned Global Address Space Languages.- Session 1: Programming Models.- Can Transactions Enhance Parallel Programs?.- Design and Use of htalib – A Library for Hierarchically Tiled Arrays.- SP@CE - An SP-Based Programming Model for Consumer Electronics Streaming Applications.- Session 2: Code Generation.- Data Pipeline Optimization for Shared Memory Multiple-SIMD Architecture.- Dependence-Based Code Generation for a CELL Processor.- Expression and Loop Libraries for High-Performance Code Synthesis.- Applying Code Specialization to FFT Libraries for Integral Parameters.- Session 3: Parallelism.- A Characterization of Shared Data Access Patterns in UPC Programs.- Exploiting Speculative Thread-Level Parallelism in Data Compression Applications.- On Control Signals for Multi-Dimensional Time.- Keynote II.- The Berkeley View: A New Framework and a New Platform for Parallel Research.- Session 4: Compilation Techniques.- An Effective Heuristic for Simple Offset Assignment with Variable Coalescing.- Iterative Compilation with Kernel Exploration.- Quantifying Uncertainty in Points-To Relations.- Session 5: Data Structures.- Cache Behavior Modelling for Codes Involving Banded Matrices.- Tree-Traversal Orientation Analysis.- UTS: An Unbalanced Tree Search Benchmark.- Session 6: Register Allocation.- Copy Propagation Optimizations for VLIW DSP Processors with Distributed Register Files.- Optimal Bitwise Register Allocation Using Integer Linear Programming.- Register Allocation: What Does the NP-Completeness Proof of Chaitin et al. Really Prove? Or Revisiting Register Allocation: Why and How.- Session 7: Memory Management.- Custom Memory Allocation for Free.- Optimizing the Use of Static Buffers for DMA on a CELL Chip.- Runtime AddressSpace Computation for SDSM Systems.- A Static Heap Analysis for Shape and Connectivity: Unified Memory Analysis: The Base Framework.

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