Please use this identifier to cite or link to this item:
|Title:||Concurrent object oriented model for fine to medium grain parallelism as a basis for parallel object oriented architectures||Authors:||Balou, A. T.
Kontoghiorghes, Erricos John
Tzortzi, E. A.
|Keywords:||Computational methods;Computer architecture;Data handling;Data structures;Interactive computer systems;Object oriented programming||Category:||Economics and Business||Field:||Social Sciences||Issue Date:||1993||Source:||Proceedings of the 10th IEEE Region Conference on Computer, Communication, Control and Power Engineering 1993, Pages 106-109 Proceedings of the 1993 IEEE Region 10 Conference on Computer, Communication, Control and Power Engineering (TENCON '93). Part 1 (of 5); Beijing, China; ; 19 October 1993 through 21 October 1993; Code 20220||Conference:||Proceedings of the 10th IEEE Region Conference on Computer, Communication, Control and Power Engineering||Abstract:||This paper presents a concurrent model for fine to medium grain object based parallelism which can be taken as a basis for the design of parallel architectures. Our proposal is motivated by the observation that conventional architectures are inadequate to efficiently support object based parallelism, especially fine to medium grain. Our model combines the fundamental object oriented techniques (encapsulation, inheritance, polymorphism, uniform message metaphor) with a variety of concurrency features in a consistent manner. Regarding concurrency, objects are active entities ie capable of handling communication with other objects and synchronizing incoming requests. The model is based on the message driven approach and expresses a tradeoff between the necessary flexibility for mapping diverse patterns of object interaction, and simplicity for feasible hardware implementations.||URI:||https://ktisis.cut.ac.cy/handle/10488/14721||ISBN:||0780312333||ISSN:||2-s2.0-0027888027
|Appears in Collections:||Δημοσιεύσεις σε συνέδρια/Conference papers|
Show full item record
checked on Oct 18, 2019
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.