Languages and Compilers for Parallel Computing: 24th International Workshop, LCPC 2011, Fort Collins, CO, USA, September 8-10, 2011. Revised Selected Papers

✍ Scribed by Okwan Kwon, Fahed Jubair, Seung-Jai Min (auth.), Sanjay Rajopadhye, Michelle Mills Strout (eds.)

• Publisher: Springer-Verlag Berlin Heidelberg
• Year: 2013
• Tongue: English
• Leaves: 306
• Series: Lecture Notes in Computer Science 7146
• Edition: 1
• Category: Library

✦ Synopsis

This book constitutes the thoroughly refereed post-conference proceedings of the 24th International Workshop on Languages and Compilers for Parallel Computing, LCPC 2011, held in Fort Collins, CO, USA, in September 2011. The 19 revised full papers presented and 19 poster papers were carefully reviewed and selected from 52 submissions. The scope of the workshop spans the theoretical and practical aspects of parallel and high-performance computing, and targets parallel platforms including concurrent, multithreaded, multicore, accelerator, multiprocessor, and cluster systems.

✦ Table of Contents

Front Matter....Pages -
Automatic Scaling of OpenMP Beyond Shared Memory....Pages 1-15
A Methodology for Fine-Grained Parallelism in JavaScript Applications....Pages 16-30
Evaluation of Power Consumption at Execution of Multiple Automatically Parallelized and Power Controlled Media Applications on the RP2 Low-Power Multicore....Pages 31-45
Double Inspection for Run-Time Loop Parallelization....Pages 46-60
A Hybrid Approach to Proving Memory Reference Monotonicity....Pages 61-75
OpenCL as a Programming Model for GPU Clusters....Pages 76-90
CellCilk: Extending Cilk for Heterogeneous Multicore Platforms....Pages 91-105
OPELL and PM: A Case Study on Porting Shared Memory Programming Models to Accelerators Architectures....Pages 106-123
Optimizing the Concurrent Execution of Locks and Transactions....Pages 124-140
A Study of the Usefulness of Producer/Consumer Synchronization....Pages 141-155
Lock-Free Resizeable Concurrent Tries....Pages 156-170
Fine-Grained Treatment to Synchronizations in GPU-to-CPU Translation....Pages 171-184
A Mutable Hardware Abstraction to Replace Threads....Pages 185-202
Dynamic Task Parallelism with a GPU Work-Stealing Runtime System....Pages 203-217
A Code Merging Optimization Technique for GPU....Pages 218-236
Static Compilation Analysis for Host-Accelerator Communication Optimization....Pages 237-251
Scheduling Support for Communicating Parallel Tasks....Pages 252-267
Polytasks: A Compressed Task Representation for HPC Runtimes....Pages 268-282
Detecting False Sharing in OpenMP Applications Using the DARWIN Framework....Pages 283-297
Back Matter....Pages -

✦ Subjects

Programming Languages, Compilers, Interpreters; Programming Techniques; Data Structures; Computing Methodologies; Models and Principles; Computer Communication Networks