This book constitutes the strictly refereed post-workshop proceedings of the 5th International Workshop on Languages, Compilers, and Run-Time Systems for Scalable Computing, LCR 2000, held in Rochester, NY, USA in May 2000. The 22 revised full papers presented were carefully reviewed and selected from 38 submissions. The papers are organized in topical sections on data-intensive computing, static analysis, openMP support, synchronization, software DSM, heterogeneous/-meta-computing, issues of load, and compiler-supported parallelism.
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978-3-540-40889-5 (9783540408895)
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I/O, Data-Intensive Computing.- A Collective I/O Scheme Based on Compiler Analysis.- Achieving Robust, Scalable Cluster I/O in Java.- High Level Programming Methodologies for Data Intensive Computations.- Static Analysis.- Static Analysis for Guarded Code.- A Framework for Efficient Register Allocation through Selective Register Demotion.- A Comparison of Locality Transformations for Irregular Codes.- OpenMP Support.- UPMLIB: A Runtime System for Tuning the Memory Performance of OpenMP Programs on Scalable Shared-Memory Multiprocessors.- Performance Evaluation of OpenMP Applications with Nested Parallelism.- Adaptive Parallelism for OpenMP Task Parallel Programs.- Synchronization.- Optimizing Mutual Exclusion Synchronization in Explicitly Parallel Programs.- Detecting Read-Only Methods in Java.- Software DSM.- The Effect of Contention on the Scalability of Page-Based Software Shared Memory Systems.- Measuring Consistency Costs for Distributed Shared Data.- Compilation and Runtime Optimizations for Software Distributed Shared Memory.- Heterogeneous/Meta-Computing.- Run-Time Support for Distributed Sharing in Typed Languages.- InterWeave: A Middleware System for Distributed Shared State.- Run-Time Support for Adaptive Heavyweight Services.- An Infrastructure for Monitoring and Management in Computational Grids.- Issues of Load.- Realistic CPU Workloads through Host Load Trace Playback.- Thread Migration and Load Balancing in Heterogeneous Environments.- Compiler-Supported Parallelism.- Toward Compiler Support for Scalable Parallelism Using Multipartitioning.- Speculative Parallelization of Partially Parallel Loops.
