Tools and Environments for Parallel and Distributed Systems

1. Front Matter

   Pages i-xi

   PDF

2. Overview

   1. Overview

      • Amr Zaky, Ted Lewis

      Pages 1-3

3. Development Tools and Environments

   1. Front Matter

      Pages 5-6

      PDF

   2. A Visual Approach to Distributed Programming

      • Keng Ng, Jeff Kramer, Jeff Magee, Naranker Dulay

      Pages 7-31

   3. Annai: An Integrated Parallel Programming Environment for Multicomputers

      • Christian Clémençon, Akiyoshi Endo, Josef Fritscher, Andreas Müller, Roland Rühl, Brian J. N. Wylie

      Pages 33-59

   4. Bulk Synchronous Parallel Computing — A Paradigm for Transportable Software

      • Thomas Cheatham, Amr Fahmy, Dan Stefanescu, Leslie Valiant

      Pages 61-76

   5. Performance and Scalability Issues in the Design and Implementation of a Parallel Programming Environment

      • David Feldcamp, Alan Wagner

      Pages 77-102

4. Performance Prediction and Analysis

   1. Front Matter

      Pages 103-104

      PDF

   2. Performance Prediction of Dynamic Task Structures With N-Map

      • Alois Ferscha, James Johnson

      Pages 105-127

   3. Performance Analysis of Large Scale Parallel Applications

      • Olav Hansen

      Pages 129-148

   4. Efficiency Evaluation of PVM 2.X, PVM 3.X, P4, Express and Linda on a Workstation Cluster Using the NAS Parallel Benchmarks

      • Gabriele Kotsis, Florian Sukup

      Pages 149-171

5. Debugging Tools

   1. Front Matter

      Pages 173-174

      PDF

   2. Accommodating Heterogeneity in a Debugger—A Client-Server Approach

      • Robert Hood, Doreen Cheng

      Pages 175-193

   3. Efficient Detection of Unstable Global Conditions Based on Monotonic Channel Predicates

      • Vijay Garg, Craig Chase, Roger Mitchell, Richard Kilgore

      Pages 195-226

6. Less Traditional Approaches

   1. Front Matter

      Pages 227-228

      PDF

   2. A Formal Semantics and an Interactive Environment for Sisal

      • Isabelle Attali, Denis Caromel, Andrew Wendelborn

      Pages 229-256

   3. Parallel High-Performance Matrix Computations in MaTRiX++

      • Tim Collins, James Browne

      Pages 257-278

   4. Transparent Object Distribution and Remote Inheritance

      • Thomas Wolff

      Pages 279-303

7. Back Matter

   Pages 305-305

   PDF

Developing correct and efficient software is far more complex for parallel and distributed systems than it is for sequential processors. Some of the reasons for this added complexity are: the lack of a universally acceptable parallel and distributed programming paradigm, the criticality of achieving high performance, and the difficulty of writing correct parallel and distributed programs. These factors collectively influence the current status of parallel and distributed software development tools efforts.
Tools and Environments for Parallel and Distributed Systems addresses the above issues by describing working tools and environments, and gives a solid overview of some of the fundamental research being done worldwide. Topics covered in this collection are: mainstream program development tools, performance prediction tools and studies; debugging tools and research; and nontraditional tools.
Audience: Suitable as a secondary text for graduate level courses in software engineering and parallel and distributed systems, and as a reference for researchers and practitioners in industry.

• Cluster
• Debugging
• Extreme Programming
• Scala
• complexity
• design
• inheritance
• object oriented design
• parallel programming
• processor
• programming
• software engineering
• structured analysis

• Naval Postgraduate School, Monterey, USA

  Amr Zaky, Ted Lewis

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