Languages and Compilers for Parallel Computing

1. Front Matter

   Pages I-XII

   PDF

2. Java

   1. High Performance Numerical Computing in Java: Language and Compiler Issues

      • Pedro V. Artigas, Manish Gupta, Samuel P. Midkiff, José E. Moreira

      Pages 1-17

   2. Instruction Scheduling in the Presence of Java’s Runtime Exceptions

      • Matthew Arnold, Michael Hsiao, Ulrich Kremer, Barbara Ryder

      Pages 18-34

   3. Dependence Analysis for Java

      • Craig Chambers, Igor Pechtchanski, Vivek Sarkar, Mauricio J. Serrano, Harini Srinivasan

      Pages 35-52

3. Low-Level Transformations A

   1. Comprehensive Redundant Load Elimination for the IA-64 Architecture

      • Youngfeng Wu, Yong-fong Lee

      Pages 53-69

   2. Minimum Register Instruction Scheduling: A New Approach for Dynamic Instruction Issue Processors

      • R. Govindarajan, Chihong Zhang, Guang R. Gao

      Pages 70-84

   3. Unroll-Based Copy Elimination for Enhanced Pipeline Scheduling

      • Suhyun Kim, Soo-Mook Moon, Jinpyo Park, HanSaem Yun

      Pages 85-99

4. Data Distribution

   1. A Linear Algebra Formulation for Optimising Replication in Data Parallel Programs

      • Olav Beckmann, Paul H. J. Kelly

      Pages 100-116

   2. Accurate Data and Context Management in Message-Passing Programs

      • Dhruva R. Chakrabarti, Prithviraj Banerjee

      Pages 117-132

   3. An Automatic Iteration/Data Distribution Method Based on Access Descriptors for DSMM

      • Angeles G. Navarro, Emilio L. Zapata

      Pages 133-148

5. High-Level Transformations

   1. Inter-array Data Regrouping

      • Chen Ding, Ken Kennedy

      Pages 149-163

   2. Iteration Space Slicing for Locality

      • William Pugh, Evan Rosser

      Pages 164-184

   3. A Compiler Framework for Tiling Imperfectly-Nested Loops

      • Yonghong Song, Zhiyuan Li

      Pages 185-200

6. Models

   1. Parallel Programming with Interacting Processes

      • Peiyi Tang, Yoichi Muraoka

      Pages 201-218

   2. Application of the Polytope Model to Functional Programs

      • Nils Ellmenreich, Christian Lengauer, Martin Griebl

      Pages 219-235

   3. Multilingual Debugging Support for Data-Driven and Thread-Based Parallel Languages

      • Parthasarathy Ramachandran, Laxmikant V. Kale’

      Pages 236-250

7. Array Analysis

   1. An Analytical Comparison of the I-Test and Omega Test

      • David Niedzielski, Kleanthis Psarris

      Pages 251-270

   2. The Access Region Test

      • Jay Hoeflinger, Yunheung Paek

      Pages 271-285

   3. A Precise Fixpoint Reaching Definition Analysis for Arrays

      • Jean-François Collard, Martin Griebl

      Pages 286-302

   4. Demand-Driven Interprocedural Array Property Analysis

      • Yuan Lin, David Padua

      Pages 303-317

In August 1999, the Twelfth Workshop on Languages and Compilers for P- allel Computing (LCPC) was hosted by the Hierarchical Tiling Research group from the Computer Science and Engineering Department at the University of California San Diego (UCSD). The workshop is an annual international forum for leading research groups to present their current research activities and the latest results. It has also been a place for researchers and practitioners to - teract closely and exchange ideas about future directions. Among the topics of interest to the workshop are language features, code generation, debugging, - timization, communication and distributed shared memory libraries, distributed object systems, resource management systems, integration of compiler and r- time systems, irregular and dynamic applications, and performance evaluation. In 1999, the workshop was held at the International Relations/Paci c Studies Auditorium and the San Diego Supercomputer Center at UCSD. Seventy-seven researchers from Australia, England, France, Germany, Korea, Spain, and the United States attended the workshop, an increase of over 50% from 1998.

• Concurrency
• Distributed Systems
• High Performance Computing
• Java
• Parallel Algorithms
• Parallel Architectures
• Parallel Compilers
• Parallel Languages
• Parallel Processing
• Parallel Programming
• compiler
• parallel computing
• selection

• Department of Computer Science, University of California, San Diego, La Jolla, USA

  Larry Carter, Jeanne Ferrante

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