USA flag logo/image

An Official Website of the United States Government

Design of a Parallel Object Oriented Programming Language

Award Information

Agency:
Department of Defense
Branch:
Defense Advanced Research Projects Agency
Award ID:
26423
Program Year/Program:
1994 / SBIR
Agency Tracking Number:
26423
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Scientific Comput Assoc
One Century Tower 265 Church Street New Haven, CT 99999
View profile »
Woman-Owned: No
Minority-Owned: Yes
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 1994
Title: Design of a Parallel Object Oriented Programming Language
Agency / Branch: DOD / DARPA
Contract: N/A
Award Amount: $99,965.00
 

Abstract:

Object Oriented Programming (OOP) techniques are a vital part of modern software engineering. Unfortunately, on parallel computers where the need is greatest, OOP tools are lacking. We propose to address this problem by designing a parallel OOP language. Unlike other parallel OOP research efforts, we will approach parallel OOP from the viewpoint of the parallel programming environment - not the OOP language. A parallel programming language that naturally maps onto OOP is Linda(R). Linda is based on an associative virtual shared memory called tuple space. Linda coordinates multiple processes strictly in terms of memory-entities (tuples) residing within the virtual shared memory. The chief innovation of this research is to generalize tuple space into a true "object space" where "object" is consistent with the object- concept from OOP languages. This will require many novel developments, including hierarchical tuple spaces (to support inheritance) and generalized models of process abstraction in the context of active (or processing) tuples. This innovative research will have far reaching implications. By providing better tools for parallel programmers, the quality and quantity of application software for parallel computers will increase. Also important is that this research will contribute fundamentally to the understanding of parallel OOP techniques and associative memory models. Anticipated Benefits/Potential Applications - Parallel computing lacks the tools software engineers need to produce application software. The proposed parallel object oriented programming language will provide a key tool for the application programmer, thereby increasing the number of applications and utility of cost effective parallel computers for any industry that depends on high performance computing.

Principal Investigator:

Daya Atapattu
2037777442

Business Contact:

Small Business Information at Submission:

Scientific Computing Associate
One Century Tower, 265 Church Street New Haven, CT 65107

EIN/Tax ID:
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No