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High performance computing applications in neurobiological researchThe human nervous system is a massively parallel processor of information. The vast numbers of neurons, synapses and circuits is daunting to those seeking to understand the neural basis of consciousness and intellect. Pervading obstacles are lack of knowledge of the detailed, three-dimensional (3-D) organization of even a simple neural system and the paucity of large scale, biologically relevant computer simulations. We use high performance graphics workstations and supercomputers to study the 3-D organization of gravity sensors as a prototype architecture foreshadowing more complex systems. Scaled-down simulations run on a Silicon Graphics workstation and scale-up, three-dimensional versions run on the Cray Y-MP and CM5 supercomputers.
Document ID
19960016569
Acquisition Source
Ames Research Center
Document Type
Reprint (Version printed in journal)
Authors
Ross, Muriel D.
(NASA Ames Research Center Moffett Field, CA United States)
Cheng, Rei
(Sterling Software, Inc. Palo Alto, CA United States)
Doshay, David G.
(Sterling Software, Inc. Palo Alto, CA United States)
Linton, Samuel W.
(Sterling Software, Inc. Palo Alto, CA United States)
Montgomery, Kevin
(Sterling Software, Inc. Palo Alto, CA United States)
Parnas, Bruce R.
(NASA Ames Research Center Moffett Field, CA United States)
Date Acquired
September 6, 2013
Publication Date
January 1, 1994
Subject Category
Computer Programming And Software
Report/Patent Number
NASA-CR-200306
NAS 1.26:200306
Accession Number
96N22213
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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