Hardware Accelerated Cognitively Enhanced Complex Event Processing Architecture

Author

Atahary, Tanvir ; Taha, Tarek M. ; Douglass, Scott

Author_Institution

Dept. of Electr. & Comput. Eng., Univ. of Dayton, Dayton, OH, USA

fYear

2013

fDate

1-3 July 2013

Firstpage

283

Lastpage

288

Abstract

Agent-based decision aids can improve their performance by mining domain knowledge captured in cognitive domain ontologies (CDOs). This paper introduces a cognitively enhanced complex event processing (CECEP) architecture to enable enhanced agent-based decision making. Additionally the paper examines the parallelization and acceleration of a key knowledge mining process within the architecture on high performance computing platforms. Speedups of almost a 1000 times were seen using 8 NVIDIA Tesla C2070 GPGPUs over 1 Xeon X5650 processor core. Speedups of this level will allow more complex knowledge domains to be searched in real time on reactive agents and thus enable systems with enhanced intelligence to be designed.

Keywords

cognition; data mining; decision making; multi-agent systems; multiprocessing systems; ontologies (artificial intelligence); parallel processing; software architecture; CDO; CECEP architecture; NVIDIA Tesla C2070 GPGPU; Xeon X5650 processor core; agent-based decision aids; agent-based decision making; cognitive domain ontology; domain knowledge mining; hardware accelerated cognitively enhanced complex event processing architecture; high performance computing platforms; knowledge mining process; reactive agents; Acceleration; Computational modeling; Decision making; Graphics processing units; Multicore processing; Runtime; Agent based decision aides; GPGPU; knowledge mining; multicore; parallelization;

fLanguage

English

Publisher

ieee

Conference_Titel

Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD), 2013 14th ACIS International Conference on

Conference_Location

Honolulu, HI

Type

conf

DOI

10.1109/SNPD.2013.57

Filename

6598478