Languages and Compilers for Parallel Computing

11th International Workshop, LCPC'98, Chapel Hill, NC, USA, August 7-9, 1998, Proceedings

Häftad, Engelska, 1999

Av Siddharta Chatterjee, Jan F. Prins, Larry Carter, Jeanne Ferrante, Zhiyuan L. Li, David Sehr, Pen-Chung Yew

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This book constitutes the thoroughly refereed post-workshop proceedings of the 11th International Workshop on Languages and Compilers for Parallel Computing, LCPC'98, held in Chapel Hill, North Carolina, USA in August 1998.The 24 revised full papers presented have gone through two rounds of selection and reviewing. The volume is divided in topical sections on Java, locality, network computing, Fortran, irregular applications, instructions scheduling, and dependence analysis.

Produktinformation

Utgivningsdatum1999-08-20
Mått155 x 235 x 22 mm
Vikt610 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor391
Upplaga1999
FörlagSpringer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN9783540664260

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Java.- From Flop to MegaFlops: Java for Technical Computing.- Considerations in HPJava Language Design and Implementation.- Locality.- A Loop Transformation Algorithm Based on Explicit Data Layout Representation for Optimizing Locality.- An Integrated Framework for Compiler-Directed Cache Coherence and Data Prefetching.- I/O Granularity Transformations.- Network Computing.- Stampede A Programming System for Emerging Scalable Interactive Multimedia Applications.- Network-Aware Parallel Computing with Remos.- Object-Oriented Implementation of Data-Parallelism on Global Networks.- Fortran.- Optimized Execution of Fortran 90 Array Language on Symmetric Shared-Memory Multiprocessors.- Fortran RED — A Retargetable Environment for Automatic Data Layout.- Automatic Parallelization of C by Means of Language Transcription.- Irregular Applications.- Improving Compiler and Run-Time Support for Irregular Reductions Using Local Writes.- Beyond Arrays — A Container-Centric Approach for Parallelization of Real-World Symbolic Applications.- SIPR: A New Framework for Generating Efficient Code for Sparse Matrix Computations.- HPF-2 Support for Dynamic Sparse Computations.- Instruction Scheduling.- Integrated Instruction Scheduling and Register Allocation Techniques.- A Spill Code Placement Framework for Code Scheduling.- Copy Elimination for Parallelizing Compilers.- Potpourri.- Compiling for SIMD Within a Register.- Automatic Analysis of Loops to Exploit Operator Parallelism on Reconfigurable Systems.- Principles of Speculative Run—Time Parallelization.- Dependence Analysis.- The Advantages of Instance-Wise Reaching Definition Analyses in Array (S)SA.- Dependency Analysis of Recursive Data Structures Using Automatic Groups.- The I+ Test.