DocumentCode :
3387719
Title :
The potential for parallel processing and neural computing in management decision support
Author :
Trippi, Robert ; Turban, Efraim
Author_Institution :
Sch. of Bus. & Manage., US Int. Univ., San Diego, CA, USA
Volume :
3
fYear :
1989
fDate :
3-6 Jan 1989
Firstpage :
181
Abstract :
Some of the current parallel-processing architectures are discussed, and management-science-type problems amenable to solution using coarse-grained multiple-instruction, multiple-data parallel computers are identified. Applications of neural computing in management science are also discussed. It is shown that the real promise of parallelism is not just in doing the same things faster, but in routinely solving problems which were previously extraordinarily difficult or even impossible to solve, or where the solution was not economically justifiable because of the large computational effort. In a qualitative sense, parallel processing enables approaching certain problems from an entirely different perspective
Keywords :
decision support systems; neural nets; parallel processing; coarse-grained multiple-instruction; management decision support; management-science-type problems; multiple-data parallel computers; neural computing; parallel-processing architectures; Array signal processing; Computer architecture; Concurrent computing; Expert systems; Hardware; Manufacturing; Parallel processing; Pipeline processing; Testing; VLIW;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System Sciences, 1989. Vol.III: Decision Support and Knowledge Based Systems Track, Proceedings of the Twenty-Second Annual Hawaii International Conference on
Conference_Location :
Kailua-Kona, HI
Print_ISBN :
0-8186-1913-9
Type :
conf
DOI :
10.1109/HICSS.1989.49240
Filename :
49240
Link To Document :
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