DocumentCode
605212
Title
Simulation Model of IBM-Watson Intelligent System for Early Software Development
Author
Abrar, S.S. ; Arumugam, R.K.
Author_Institution
IBM, Bangalore, India
fYear
2013
fDate
10-12 April 2013
Firstpage
325
Lastpage
329
Abstract
IBM-Watson is among the leading intelligent systems available today. It is extremely complex, employing multiple processors, peripherals, interconnects, along with specialized software and applications. Developing software for this architecture, in absence of target platform, is an extremely error-prone affair. Bringup of software once the hardware is available detects large amount of bugs, throwing the project cost and schedule out of control. This paper introduces a methodology based on IBM-Watson system-level simulation, developed using high-level simulation models of all the components of the target architecture. This methodology helps to debug, verify and fine-tune the IBM-Watson software much before the availability of the target hardware. Use of this methodology enables detecting the bugs much earlier in the development cycle. Majority of the defects are removed much earlier and software bringup-time on actual hardware has reduced from months to days !
Keywords
knowledge based systems; multiprocessing systems; program debugging; program verification; software architecture; software performance evaluation; IBM-Watson intelligent system; IBM-Watson system-level simulation; defect removal; development cycle; early software development; high-level simulation model; interconnects; multiple processors; peripherals; software bringup-time; software debugging; software fine-tuning; software verification; specialized software; target hardware; Computational modeling; Computer architecture; Computer bugs; Hardware; Linux; Program processors; Intelligent; Modeling; Simulation; Software;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Modelling and Simulation (UKSim), 2013 UKSim 15th International Conference on
Conference_Location
Cambridge
Print_ISBN
978-1-4673-6421-8
Type
conf
DOI
10.1109/UKSim.2013.132
Filename
6527438
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