Languages and Compilers for Parallel Computing: 29th International Workshop, LCPC 2016, Rochester, NY, USA, September 28-30, 2016, Revised Papers

✍ Scribed by Chen Ding, John Criswell, Peng Wu (eds.)

• Publisher: Springer International Publishing
• Year: 2017
• Tongue: English
• Leaves: 351
• Series: Lecture Notes in Computer Science 10136
• Edition: 1
• Category: Library

✦ Synopsis

This book constitutes the thoroughly refereed post-conference proceedings of the 29th International Workshop on Languages and Compilers for Parallel Computing, LCPC 2016, held in Rochester, NY, USA, in September 2016.

The 20 revised full papers presented together with 4 short papers were carefully reviewed. The papers are organized in topical sections on large scale parallelism, resilience and persistence, compiler analysis and optimization, dynamic computation and languages, GPUs and private memory, and runt-time and performance analysis.

✦ Table of Contents

Front Matter....Pages I-XI
Front Matter....Pages 1-1
QUARC: An Array Programming Approach to High Performance Computing....Pages 3-17
Utilizing Concurrency: A New Theory for Memory Wall....Pages 18-23
ParFuse: Parallel and Compositional Analysis of Message Passing Programs....Pages 24-39
Fast Approximate Distance Queries in Unweighted Graphs Using Bounded Asynchrony....Pages 40-54
Energy Avoiding Matrix Multiply....Pages 55-70
Front Matter....Pages 71-71
Language Support for Reliable Memory Regions....Pages 73-87
Harnessing Parallelism in Multicore Systems to Expedite and Improve Function Approximation....Pages 88-92
Adaptive Software Caching for Efficient NVRAM Data Persistence....Pages 93-97
Front Matter....Pages 99-99
Polyhedral Compiler Technology in Collaboration with Autotuning Important to Domain-Specific Frameworks for HPC....Pages 101-105
An Extended Polyhedral Model for SPMD Programs and Its Use in Static Data Race Detection....Pages 106-120
Polygonal Iteration Space Partitioning....Pages 121-136
Automatically Optimizing Stencil Computations on Many-Core NUMA Architectures....Pages 137-152
Formalizing Structured Control Flow Graphs....Pages 153-168
Front Matter....Pages 169-169
Automatic Vectorization for MATLAB....Pages 171-187
Analyzing Parallel Programming Models for Magnetic Resonance Imaging....Pages 188-202
The Importance of Efficient Fine-Grain Synchronization for Many-Core Systems....Pages 203-217
Optimizing LOBPCG: Sparse Matrix Loop and Data Transformations in Action....Pages 218-232
Front Matter....Pages 233-233
Locality-Aware Task-Parallel Execution on GPUs....Pages 235-249
Automatic Copying of Pointer-Based Data Structures....Pages 250-264
Front Matter....Pages 265-281
Automatic Local Memory Management for Multicores Having Global Address Space....Pages 233-233
Front Matter....Pages 282-296
Mapping Medley: Adaptive Parallelism Mapping with Varying Optimization Goals....Pages 297-297
The Contention Avoiding Concurrent Priority Queue....Pages 299-313
Evaluating Performance of Task and Data Coarsening in Concurrent Collections....Pages 314-330
Back Matter....Pages 331-345
....Pages 347-348

✦ Subjects

Programming Languages, Compilers, Interpreters;Computer System Implementation;Programming Techniques;Software Engineering;Operating Systems;Processor Architectures