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|a 9783540897408
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|a Amaral, José Nelson
|e [editor]
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|a Languages and Compilers for Parallel Computing
|h Elektronische Ressource
|b 21th International Workshop, LCPC 2008, Edmonton, Canada, July 31 - August 2, 2008, Revised Selected Papers
|c edited by José Nelson Amaral
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|a 1st ed. 2008
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|a Berlin, Heidelberg
|b Springer Berlin Heidelberg
|c 2008, 2008
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|a IX, 358 p
|b online resource
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|a CUDA-Lite: Reducing GPU Programming Complexity -- MCUDA: An Efficient Implementation of CUDA Kernels for Multi-core CPUs -- Automatic Pre-Fetch and Modulo Scheduling Transformations for the Cell BE Architecture -- Efficient Set Sharing Using ZBDDs -- Register Bank Assignment for Spatially Partitioned Processors -- Smashing: Folding Space to Tile through Time -- Identification of Heap–Carried Data Dependence Via Explicit Store Heap Models -- On the Scalability of an Automatically Parallelized Irregular Application -- Statistically Analyzing Execution Variance for Soft Real-Time Applications -- Minimum Lock Assignment: A Method for Exploiting Concurrency among Critical Sections -- Set-Congruence Dynamic Analysis for Thread-Level Speculation (TLS) -- Thread Safety through Partitions and Effect Agreements -- P-Ray: A Software Suite for Multi-core Architecture Characterization -- Scalable Implementation of Efficient Locality Approximation -- P-OPT: Program-Directed Optimal Cache Management -- Compiler-Driven Dependence Profiling to Guide Program Parallelization -- gluepy: A Simple Distributed Python Programming Framework for Complex Grid Environments -- A Fully Parallel LISP2 Compactor with Preservation of the Sliding Properties -- A Case Study in Tightly Coupled Multi-paradigm Parallel Programming -- ASYNC Loop Constructs for Relaxed Synchronization -- Design for Interoperability in stapl: pMatrices and Linear Algebra Algorithms -- Implementation of Sensitivity Analysis for Automatic Parallelization -- Just-In-Time Locality and Percolation for Optimizing Irregular Applications on a Manycore Architecture -- Exploring the Optimization Space of Dense Linear Algebra Kernels
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|a Computer Communication Networks
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|a Artificial intelligence / Data processing
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|a Compilers (Computer programs)
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|a Compilers and Interpreters
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|a Models of Computation
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|a Programming Techniques
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|a Computer science
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|a Computer programming
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|a Artificial Intelligence
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|a Computer networks
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|a Artificial intelligence
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|a Data Science
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|a eng
|2 ISO 639-2
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|b Springer
|a Springer eBooks 2005-
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|a Theoretical Computer Science and General Issues
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|a 10.1007/978-3-540-89740-8
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|u https://doi.org/10.1007/978-3-540-89740-8?nosfx=y
|x Verlag
|3 Volltext
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|a 005.45
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|a This book constitutes the thoroughly refereed post-conference proceedings of the 21th International Workshop on Languages and Compilers for Parallel Computing, LCPC 2008, held in Edmonton, Canada, in July/August 2008. The 18 revised full papers and 6 revised short papers presented were carefully reviewed and selected from 35 submissions. The papers address all aspects of languages, compiler techniques, run-time environments, and compiler-related performance evaluation for parallel and high-performance computing and comprise also presentations on program analysis that are precursors of high performance in parallel environments
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