Languages and Compilers for Parallel Computing 21th International Workshop, LCPC 2008, Edmonton, Canada, July 31 - August 2, 2008, Revised Selected Papers /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Amaral, José Nelson (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2008.
• Σειρά: Lecture Notes in Computer Science, 5335
• Θέματα: Computer science.; Computer communication systems.; Computer programming.; Programming languages (Electronic computers).; Data structures (Computer science).; Computers.; Computer Science.; Programming Languages, Compilers, Interpreters.; Programming Techniques.; Computer Communication Networks.; Data Structures.; Computing Methodologies.; Models and Principles.

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 rev...

Πίνακας περιεχομένων:

• 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.