Languages and Compilers for Parallel Computing: 16th International Workshop, LCPC 2003, College Sation, TX, USA, October 2-4, 2003, Revised Papers [Paperback]

This book constitutes the thoroughly refereed post-proceedings of the 16^th International Workshop on Languages and Compilers for Parallel Computing, LCPC 2003, held in College Station, Texas, USA, in October 2003.

The 35 revised full papers presented were selected from 48 submissions during two rounds of reviewing and improvement upon presentation at the workshop. The papers are organized in topical sections on adaptive optimization, data locality, parallel languages, high-level transformations, embedded systems, distributed systems software, low-level transformations, compiling for novel architectures, and optimization infrastructure.

Search Space Properties for Mapping Coarse-Grain Pipelined FPGA Applications.- Adapting Convergent Scheduling Using Machine-Learning.- TFP: Time-Sensitive, Flow-Specific Profiling at Runtime.- A Hierarchical Model of Reference Affinity.- Cache Optimization for Coarse Grain Task Parallel Processing Using Inter-Array Padding.- Compiler-Assisted Cache Replacement: Problem Formulation and Performance Evaluation.- Memory-Constrained Data Locality Optimization for Tensor Contractions.- Compositional Development of Parallel Programs.- Supporting High-Level Abstractions through XML Technology.- Applications of HPJava.- Programming for Locality and Parallelism with Hierarchically Tiled Arrays.- Co-array Fortran Performance and Potential: An NPB Experimental Study.- Evaluating the Impact of Programming Language Features on the Performance of Parallel Applications on Cluster Architectures.- Putting Polyhedral Loop Transformations to Work.- Index-Association Based Dependence Analysis and its Application in Automatic Parallelization.- Improving the Performance of Morton Layout by Array Alignment and Loop Unrolling.- Spatial Views: Space-Aware Programming for Networks of Embedded Systems.- Operation Reuse on Handheld Devices.- Memory Redundancy Elimination to Improve Application Energy Effil³-