Dwarkadas | Languages, Compilers, and Run-Time Systems for Scalable Computers | Buch | 978-3-540-41185-7 | sack.de

Buch, Englisch, Band 1915, 299 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 482 g

Reihe: Lecture Notes in Computer Science

Dwarkadas

Languages, Compilers, and Run-Time Systems for Scalable Computers

5th International Workshop, LCR 2000 Rochester, NY, USA, May 25-27, 2000 Selected Papers
2000
ISBN: 978-3-540-41185-7
Verlag: Springer Berlin Heidelberg

5th International Workshop, LCR 2000 Rochester, NY, USA, May 25-27, 2000 Selected Papers

Buch, Englisch, Band 1915, 299 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 482 g

Reihe: Lecture Notes in Computer Science

ISBN: 978-3-540-41185-7
Verlag: Springer Berlin Heidelberg


Itisan honoranda pleasure topresentthiscollectionofpapersfromLCR2000,the?fth workshop on Languages, Compilers, and Run Time Systems for Scalable Computers, held in Rochester, N.Y., U.S.A., on May 25–27, 2000. The LCR workshop is a bi annual gathering of computer scientists who develop software systems for parallel and distributed computers, held in the off year for the ACM Symposium on the Principles and Practice of Parallel Programming (PPoPP). This ?fth meeting was held in cooperation with ACM SIGPLAN on the University ofRochester campus. A totalof38six pageabstracts were submitted,ofwhich22 were chosen for presentation and publication. Each paper received a minimum of 3 reviews, with 122 reviews in total. There were 44 registered attendees. Local arrangements were coordinatedbyKristenWondrack,alongwithSara Sadick and Mary Albee, from the University of Rochester conference and events of?ce, and JoMarie Carpenter from the University of Rochester department of computer science. Grigorios Magklis was the webmaster for the workshop. I would like to thank all of them for an excellent job, and in particular, Kristen Wondrack, for helping ensure an enjoyable workshop that also proceeded smoothly. I hope the participants were able to take advantage of some of the attractions in Upstate New York as well.

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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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