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The Amber system: parallel programming on a network of multiprocessors

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R. LittlefieldAuthors Info & Claims

SOSP '89: Proceedings of the twelfth ACM symposium on Operating systems principles

Pages 147 - 158

https://doi.org/10.1145/74850.74865

Published: 01 November 1989 Publication History

Abstract

This paper describes a programming system called Amber that permits a single application program to use a homogeneous network of computers in a uniform way, making the network appear to the application as an integrated multiprocessor. Amber is specifically designed for high performance in the case where each node in the network is a shared-memory multiprocessor.

Amber shows that support for loosely-coupled multiprocessing can be efficiently realized using an object-based programming model. Amber programs execute in a uniform network-wide object space, with memory coherence maintained at the object level. Careful data placement and consistency control are essential for reducing communication overhead in a loosely-coupled system. Amber programmers use object migration primitives to control the location of data and processing.

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cover image ACM Conferences

SOSP '89: Proceedings of the twelfth ACM symposium on Operating systems principles

November 1989

224 pages

ISBN:0897913388

DOI:10.1145/74850

Chairman:
Greg Andrews
Univ. of Arizona, Tucson

ACM SIGOPS Operating Systems Review Volume 23, Issue 5
Dec. 3–6, 1989
223 pages
DOI:10.1145/74851
Editor:
Roy Levin
Digital Equimpment Corp, Palo Alto, CA
Issue’s Table of Contents

Copyright © 1989 ACM.

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Published: 01 November 1989

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Li GChen QZheng BYin HNguyen QZhou X(2020)Group-Based Recurrent Neural Networks for POI RecommendationACM/IMS Transactions on Data Science10.1145/33430371:1(1-18)Online publication date: 12-Mar-2020
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