Languages, compilers, and run-time systems for scalable computers : 4th International Workshop, LCR '98, Pittsburgh, PA, USA, May 28-30, 1998 : selected papers
著者
書誌事項
Languages, compilers, and run-time systems for scalable computers : 4th International Workshop, LCR '98, Pittsburgh, PA, USA, May 28-30, 1998 : selected papers
（Lecture notes in computer science, 1511）
Springer, c1998
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注記
Includes bibliographical references and index
内容説明・目次
内容説明
It is a great pleasure to present this collection of papers from LCR '98, the Fourth Workshop on Languages, Compilers, and Run-time Systems for Scalable Computers. The LCR workshop is a bi-annual gathering of computer scientists who develop software systems for parallel and distributed computers. LCR is held in alternating years with the ACM Symposium on Principles and Practice of Parallel Programming (PPoPP) and draws from the same community. This fourth meeting was held in cooperation with ACM SIGPLAN on the c- pus of Carnegie Mellon University, May 28{30, 1998. There were 60 registered attendees from 9 nations. A total of 47 6-page extended abstracts were s- mitted. There were a total of 134 reviews for an average of 2.85 reviews per submission. Submissions were rank ordered by average review score. The top 23 submissions were selected as full papers and the next 9 as short papers.
The program committee consisted of David Bakken (BBN), Ian Foster (- gonne), Thomas Gross (CMU and ETH Zurich), Charles Koelbel (Rice), Piyush Mehrotra (ICASE), David O'Hallaron, Chair (CMU), Joel Saltz (Maryland), - spal Subhlok (CMU), Boleslaw Szymanski (RPI), Katherine Yelick (Berkeley), and Hans Zima (Vienna).
目次
Expressing Irregular Computations in Modern Fortran Dialects.- Memory System Support for Irregular Applications.- Menhir: An Environment for High Performance Matlab.- On the Automatic Parallelization of Sparse and Irregular Fortran Programs.- Loop Transformations for Hierarchical Parallelism and Locality.- Data Flow Analysis Driven Dynamic Data Partitioning.- A Case for Combining Compile-Time and Run-Time Parallelization.- Compiler and Run-Time Support for Adaptive Load Balancing in Software Distributed Shared Memory Systems.- Efficient Interprocedural Data Placement Optimisation in a Parallel Library.- A Framework for Specializing Threads in Concurrent Run-Time Systems.- Load Balancing with Migrant Lightweight Threads.- Integrated Task and Data Parallel Support for Dynamic Applications.- Supporting Self-Adaptivity for SPMD Message-Passing Applications.- Evaluating the Effectiveness of a Parallelizing Compiler.- Comparing Reference Counting and Global Mark-and-Sweep on Parallel Computers.- Design of the GODIVA Performance Measurement System.- Instrumentation Database for Performance Analysis of Parallel Scientific Applications.- A Performance Prediction Framework for Data Intensive Applications on Large Scale Parallel Machines.- MARS: A Distributed Memory Approach to Shared Memory Compilation.- More on Scheduling Block-Cyclic Array Redistribution.- Flexible and Optimized IDL Compilation for Distributed Applications.- QoS Aspect Languages and Their Runtime Integration.- The Statistical Properties of Host Load.- Locality Enhancement for Large-Scale Shared-Memory Multiprocessors.- Language and Compiler Support for Out-of-Core Irregular Applications on Distributed-Memory Multiprocessors.- Detection of Races and Control-Flow Nondeterminism.- Improving Locality in Out-of-Core Computations Using Data Layout Transformations.- Optimizing Computational and Spatial Overheads in Complex Transformed Loops.- Building a Conservative Parallel Simulation with Existing Component Libraries.- A Coordination Layer for Exploiting Task Parallelism with HPF.- InterAct: Virtual Sharing for Interactive Client-Server Applications.- Standard Templates Adaptive Parallel Library (STAPL).
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