Language concepts for distributed processing of large arrays

Authors:
Piyush Mehrotra;Terrence W. Pratt
Affiliations:
-;-
Venue:
PODC '82 Proceedings of the first ACM SIGACT-SIGOPS symposium on Principles of distributed computing
Year:
1982

Citing 6
Cited 1

Experience Using Multiprocessor Systems—A Status Report

ACM Computing Surveys (CSUR)
A Language for Array and Vector Processors

ACM Transactions on Programming Languages and Systems (TOPLAS)
Communicating sequential processes

Communications of the ACM
Abstraction mechanisms in CLU

Communications of the ACM
Guardians and actions: linguistic support for robust, distributed programs

POPL '82 Proceedings of the 9th ACM SIGPLAN-SIGACT symposium on Principles of programming languages
Users' experience with the ILLIAC IV system and its programming languages

ACM SIGPLAN Notices

A Template-Based Approach to the Generation of Distributed Applications Using a Network of Workstations

IEEE Transactions on Parallel and Distributed Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

A large array is an array whose storage is distributed among primary and secondary storage and whose processing may be distributed among several tasks in a distributed system. This paper presents a semantic model (set of language concepts) for representing large arrays in a distributed system in such a way that the performance realities inherent in the distributed storage and processing can be adequately represented. An implementation of the large array concept as an ADA package (abstract data type) is described, as well as a particular tailoring of the concept for the NASA Finite Element Machine. An example application program using the package is also described.