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Languages, Compilers, and Run-Time Systems for Scalable Computers [electronic resource] :5th International Workshop, LCR 2000 Rochester, NY, USA, May 25–27, 2000 Selected Papers /

Contributor(s): Dwarkadas, Sandhya [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Computer Science: 1915Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2000.Description: VIII, 299 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783540408895.Subject(s): Computer science | Computer communication systems | Computer programming | Programming languages (Electronic computers) | Operating systems (Computers) | Algorithms | Computer Science | Programming Techniques | Algorithm Analysis and Problem Complexity | Computer Communication Networks | Programming Languages, Compilers, Interpreters | Operating SystemsOnline resources: Click here to access online
Contents:
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.
In: Springer eBooks
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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.

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