Orca: A Language For Distributed Programming

We present a simple model of shared data-objects, which extends the abstract data type model to support distributed programming. Our model essentially provides shared address space semantics, rather than message passing semantics, without requiring physical shared memory to be present in the target...

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Main Authors: Henri Bal, Andrew S. Tanenbaum, M. Frans Kaashoek
Other Authors: The Pennsylvania State University CiteSeerX Archives
Format: Text
Language:English
Published: 1990
Subjects:
Online Access:http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.56.1911
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spelling ftciteseerx:oai:CiteSeerX.psu:10.1.1.56.1911 2023-05-15T17:53:19+02:00 Orca: A Language For Distributed Programming Henri Bal Andrew S. Tanenbaum M. Frans Kaashoek The Pennsylvania State University CiteSeerX Archives 1990 application/postscript http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.56.1911 en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.56.1911 Metadata may be used without restrictions as long as the oai identifier remains attached to it. ftp://ftp.sys.toronto.edu/pub/amoeba/15.ps.gz text 1990 ftciteseerx 2016-01-08T11:57:53Z We present a simple model of shared data-objects, which extends the abstract data type model to support distributed programming. Our model essentially provides shared address space semantics, rather than message passing semantics, without requiring physical shared memory to be present in the target system. We also propose a new programming language, Orca, based on shared data-objects. A compiler and three different run time systems for Orca exist, which have been in use for over a year now. 1. INTRODUCTION The growing interest in distributed computing systems has resulted in a large number of languages for programming such systems [Bal et al. 1989c]. Many of these languages are oriented towards systems programming and are typically used for distributed operating systems, file servers, and other systems programs. In this paper we will discuss a language designed for implementing distributed user applications. In particular, our language is intended for parallel, high-performance applic. Text Orca Unknown
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description We present a simple model of shared data-objects, which extends the abstract data type model to support distributed programming. Our model essentially provides shared address space semantics, rather than message passing semantics, without requiring physical shared memory to be present in the target system. We also propose a new programming language, Orca, based on shared data-objects. A compiler and three different run time systems for Orca exist, which have been in use for over a year now. 1. INTRODUCTION The growing interest in distributed computing systems has resulted in a large number of languages for programming such systems [Bal et al. 1989c]. Many of these languages are oriented towards systems programming and are typically used for distributed operating systems, file servers, and other systems programs. In this paper we will discuss a language designed for implementing distributed user applications. In particular, our language is intended for parallel, high-performance applic.
author2 The Pennsylvania State University CiteSeerX Archives
format Text
author Henri Bal
Andrew S. Tanenbaum
M. Frans Kaashoek
spellingShingle Henri Bal
Andrew S. Tanenbaum
M. Frans Kaashoek
Orca: A Language For Distributed Programming
author_facet Henri Bal
Andrew S. Tanenbaum
M. Frans Kaashoek
author_sort Henri Bal
title Orca: A Language For Distributed Programming
title_short Orca: A Language For Distributed Programming
title_full Orca: A Language For Distributed Programming
title_fullStr Orca: A Language For Distributed Programming
title_full_unstemmed Orca: A Language For Distributed Programming
title_sort orca: a language for distributed programming
publishDate 1990
url http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.56.1911
genre Orca
genre_facet Orca
op_source ftp://ftp.sys.toronto.edu/pub/amoeba/15.ps.gz
op_relation http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.56.1911
op_rights Metadata may be used without restrictions as long as the oai identifier remains attached to it.
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