Abstract
Modern graphics processing units (GPU) and game consoles are used for much more than simply 3D graphics applications and video games. From machine vision to finite element analysis, GPU's are being used in diverse applications, collectively called General Purpose computation onf graphics processor units (GPGPU). Additionally, game consoles are entering the market of high performance computing as inexpensive nodes in computing clusters. This paper explores the capabilities and limitations of modern GPU's and game consoles, surveying the ADP and neural network technologies that can be applied to these devices.
Recommended Citation
R. J. Meuth and D. C. Wunsch, "Approximate Dynamic Programming and Neural Networks on Game Hardware," Proceedings of the International Joint Conference on Neural Networks, 2007, Institute of Electrical and Electronics Engineers (IEEE), Aug 2007.
The definitive version is available at https://doi.org/10.1109/IJCNN.2007.4371069
Meeting Name
International Joint Conference on Neural Networks, 2007
Department(s)
Electrical and Computer Engineering
Sponsor(s)
Boeing Company
Mary K. Finley Missouri Endowment
National Science Foundation (U.S.)
Keywords and Phrases
Neural networks (Computer science)
Document Type
Article - Conference proceedings
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2007 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
01 Aug 2007
