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Languages and Compilers for Parallel Computing

24th International Workshop, LCPC 2011, Fort Collins, CO, USA, September 8-10, 2011. Revised Selected Papers

  • Conference proceedings
  • © 2013

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Editors:
  1. Sanjay Rajopadhye

    1. Computer Science Department, Colorado State University, Fort Collins, USA

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  2. Michelle Mills Strout

    1. Computer Science Department, Colorado State University, Fort Collins, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 7146)

Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)

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Conference proceedings info: LCPC 2011.

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Table of contents (19 papers)

  1. Front Matter

    Download chapter PDF

  2. Automatic Scaling of OpenMP Beyond Shared Memory

    • Okwan Kwon, Fahed Jubair, Seung-Jai Min, Hansang Bae, Rudolf Eigenmann, Samuel P. Midkiff
    Pages 1-15

  3. A Methodology for Fine-Grained Parallelism in JavaScript Applications

    • Jeffrey Fifield, Dirk Grunwald
    Pages 16-30

  4. Evaluation of Power Consumption at Execution of Multiple Automatically Parallelized and Power Controlled Media Applications on the RP2 Low-Power Multicore

    • Hiroki Mikami, Shumpei Kitaki, Masayoshi Mase, Akihiro Hayashi, Mamoru Shimaoka, Keiji Kimura et al.
    Pages 31-45

  5. Double Inspection for Run-Time Loop Parallelization

    • Michael Philippsen, Nikolai Tillmann, Daniel Brinkers
    Pages 46-60

  6. A Hybrid Approach to Proving Memory Reference Monotonicity

    • Cosmin E. Oancea, Lawrence Rauchwerger
    Pages 61-75

  7. OpenCL as a Programming Model for GPU Clusters

    • Jungwon Kim, Sangmin Seo, Jun Lee, Jeongho Nah, Gangwon Jo, Jaejin Lee
    Pages 76-90

  8. CellCilk: Extending Cilk for Heterogeneous Multicore Platforms

    • Tobias Werth, Silvia Schreier, Michael Philippsen
    Pages 91-105

  9. OPELL and PM: A Case Study on Porting Shared Memory Programming Models to Accelerators Architectures

    • Joseph B. Manzano, Ge Gan, Juergen Ributzka, Sunil Shrestha, Guang R. Gao
    Pages 106-123

  10. Optimizing the Concurrent Execution of Locks and Transactions

    • Justin E. Gottschlich, JaeWoong Chung
    Pages 124-140

  11. A Study of the Usefulness of Producer/Consumer Synchronization

    • Hao Lin, Hansang Bae, Samuel P. Midkiff, Rudolf Eigenmann, Soohong P. Kim
    Pages 141-155

  12. Lock-Free Resizeable Concurrent Tries

    • Aleksandar Prokopec, Phil Bagwell, Martin Odersky
    Pages 156-170

  13. Fine-Grained Treatment to Synchronizations in GPU-to-CPU Translation

    • Ziyu Guo, Xipeng Shen
    Pages 171-184

  14. A Mutable Hardware Abstraction to Replace Threads

    • Sean Halle, Albert Cohen
    Pages 185-202

  15. Dynamic Task Parallelism with a GPU Work-Stealing Runtime System

    • Sanjay Chatterjee, Max Grossman, Alina Sbîrlea, Vivek Sarkar
    Pages 203-217

  16. A Code Merging Optimization Technique for GPU

    • Ryan Taylor, Xiaoming Li
    Pages 218-236

  17. Static Compilation Analysis for Host-Accelerator Communication Optimization

    • Mehdi Amini, Fabien Coelho, François Irigoin, Ronan Keryell
    Pages 237-251

  18. Scheduling Support for Communicating Parallel Tasks

    • Jörg Dümmler, Thomas Rauber, Gudula Rünger
    Pages 252-267

  19. Polytasks: A Compressed Task Representation for HPC Runtimes

    • Daniel Orozco, Elkin Garcia, Robert Pavel, Rishi Khan, Guang R. Gao
    Pages 268-282

  20. Detecting False Sharing in OpenMP Applications Using the DARWIN Framework

    • Besar Wicaksono, Munara Tolubaeva, Barbara Chapman
    Pages 283-297
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Other volumes

  1. Languages and Compilers for Parallel Computing

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About this book

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.

Editors and Affiliations

  • Computer Science Department, Colorado State University, Fort Collins, USA

    Sanjay Rajopadhye, Michelle Mills Strout

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