Languages and Compilers for Parallel Computing: 11th International Workshop, LCPC'98, Chapel Hill, NC, USA, August 7-9, 1998, Proceedings / Edition 1by Siddharta Chatterjee
Pub. Date: 09/24/1999
Publisher: Springer Berlin Heidelberg
This book constitutes the thoroughly refereed post-workshop proceeding s of the 11th International Workshop on Languages and Compilers for Pa rallel Computing, LCPC'98, held in Chapel Hill, North Carolina, USA in August 1998. The 24 revised full papers presented have gone through t wo rounds of selection and reviewing. The volume is divided in topical sections on
This book constitutes the thoroughly refereed post-workshop proceeding s of the 11th International Workshop on Languages and Compilers for Pa rallel Computing, LCPC'98, held in Chapel Hill, North Carolina, USA in August 1998. The 24 revised full papers presented have gone through t wo rounds of selection and reviewing. The volume is divided in topical sections on Java, locality, network computing, Fortran, irregular app lications, instructions scheduling, and dependence analysis.
Table of Contents
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.
and post it to your social network
Most Helpful Customer Reviews
See all customer reviews >