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» Massively parallel computing using commodity components
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IJCAI
1989
13 years 10 months ago
Neural Computing on a One Dimensional SIMD Array
Parallel processors offer a very attractive mechanism for the implementation of large neural networks. Problems in the usage of parallel processing in neural computing involve the...
Stephen S. Wilson
MSS
2003
IEEE
130views Hardware» more  MSS 2003»
14 years 2 months ago
zFS - A Scalable Distributed File System Using Object Disks
zFS is a research project aimed at building a decentralized file system that distributes all aspects of file and storage management over a set of cooperating machines interconne...
Ohad Rodeh, Avi Teperman
APPINF
2003
13 years 10 months ago
Preventing Computational Chaos in Asynchronous Neural Networks
One of the primary advantages of artificial neural networks is their inherent ability to perform massively parallel, nonlinear signal processing. However, the asynchronous dynamics...
Jacob Barhen, Vladimir Protopopescu
IPPS
2005
IEEE
14 years 2 months ago
Fault-Tolerant Parallel Applications with Dynamic Parallel Schedules
Commodity computer clusters are often composed of hundreds of computing nodes. These generally off-the-shelf systems are not designed for high reliability. Node failures therefore...
Sebastian Gerlach, Roger D. Hersch
ICPP
2009
IEEE
14 years 3 months ago
Generalizing k-Betweenness Centrality Using Short Paths and a Parallel Multithreaded Implementation
We present a new parallel algorithm that extends and generalizes the traditional graph analysis metric of betweenness centrality to include additional non-shortest paths according...
Karl Jiang, David Ediger, David A. Bader