DocumentCode
1942963
Title
Approximate Dynamic Programming and Neural Networks on Game Hardware
Author
Meuth, Ryan J. ; Wunsch, Donald C., II
Author_Institution
Univ. of Missouri-Rolla, Rolla
fYear
2007
fDate
12-17 Aug. 2007
Firstpage
852
Lastpage
856
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.
Keywords
computer games; computer graphic equipment; computer graphics; dynamic programming; neural nets; approximate dynamic programming; computing clusters; finite element analysis; game consoles; game hardware; general purpose computation; graphics processing units; high performance computing; machine vision; neural networks; video games; Application software; Computer graphics; Data structures; Dynamic programming; Games; High performance computing; Iterative algorithms; Neural network hardware; Neural networks; Pipelines;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2007. IJCNN 2007. International Joint Conference on
Conference_Location
Orlando, FL
ISSN
1098-7576
Print_ISBN
978-1-4244-1379-9
Electronic_ISBN
1098-7576
Type
conf
DOI
10.1109/IJCNN.2007.4371069
Filename
4371069
Link To Document