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The JR Programming Language

Concurrent Programming in an Extended Java

  • Textbook
  • © 2004

Overview

Authors:
  1. Ronald A. Olsson

    1. University of California, Davis, USA

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    You can also search for this author in PubMed   Google Scholar

  2. Aaron W. Keen

    1. California Polytechnic State University, USA

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    You can also search for this author in PubMed   Google Scholar

Part of the book series: The Springer International Series in Engineering and Computer Science (SECS, volume 774)

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Table of contents (21 chapters)

  1. Front Matter

    Pages i-xxvi
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  2. Introduction

    1. Introduction

      Pages 1-14

  3. Extensions for Concurrency

    1. Front Matter

      Pages 15-15
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    2. Overview of Extensions

      Pages 17-20

    3. OP-Methods, Operations, and Capabilities

      Pages 21-26

    4. Concurrent Execution

      Pages 27-42

    5. Synchronization Using Shared Variables

      Pages 43-52

    6. Semaphores

      Pages 53-64

    7. Asynchronous Message Passing

      Pages 65-89

    8. Remote Procedure Call

      Pages 91-105

    9. Rendezvous

      Pages 107-137

    10. Virtual Machines

      Pages 139-157

    11. The Dining Philosophers

      Pages 159-171

    12. Exceptions

      Pages 173-184

    13. Inheritance of Operations

      Pages 185-191

    14. Inter-Operation Invocation Selection Mechanism

      Pages 193-207

  4. Applications

    1. Front Matter

      Pages 209-209
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    2. Parallel Matrix Multiplication

      Pages 211-225

    3. Solving PDEs: Grid Computations

      Pages 227-246

    4. The Traveling Salesman Problem

      Pages 247-261
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Keywords

About this book

JR is a language for concurrent programming. It is an imperative language that provides explicit mechanisms for concurrency, communication, and s- chronization. JR is an extension of the Java programming language with - ditional concurrency mechanisms based on those in the SR (Synchronizing Resources) programming language. It is suitable for writing programs for both shared- and distributed-memory applications and machines; it is, of course, also suitable for writing sequential programs. JR can be used in applications such as parallel computation, distributed systems, simulation, and many others. JR supports many “features” useful for concurrent programming. However, our goals have always been keeping the language simple and easy to learn and use. We have achieved these goals by integrating common notions, both sequ- tial and concurrent, into a few powerful mechanisms. We have implemented these mechanisms as part of a complete language to determine their feasibility and cost, to gain hands-on experience, and to provide a tool that can be used for research and teaching. The introduction to Chapter 1 expands on how JR has realized our design goals.

Authors and Affiliations

  • University of California, Davis, USA

    Ronald A. Olsson

  • California Polytechnic State University, USA

    Aaron W. Keen

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