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NN
2006
Springer
153views Neural Networks» more  NN 2006»
13 years 7 months ago
An incremental network for on-line unsupervised classification and topology learning
This paper presents an on-line unsupervised learning mechanism for unlabeled data that are polluted by noise. Using a similarity thresholdbased and a local error-based insertion c...
Shen Furao, Osamu Hasegawa
CLUSTER
2009
IEEE
14 years 4 days ago
A scalable and generic task scheduling system for communication libraries
Abstract—Since the advent of multi-core processors, the physionomy of typical clusters has dramatically evolved. This new massively multi-core era is a major change in architectu...
François Trahay, Alexandre Denis
HPDC
1997
IEEE
13 years 11 months ago
Cut-Through Delivery in Trapeze: An Exercise in Low-Latency Messaging
New network technology continues to improve both the latency and bandwidth of communication in computer clusters. The fastest high-speed networks approach or exceed the I/O bus ba...
Ken Yocum, Jeffrey S. Chase, Andrew J. Gallatin, A...
SP
2002
IEEE
147views Security Privacy» more  SP 2002»
13 years 7 months ago
CX: A scalable, robust network for parallel computing
CX, a network-based computational exchange, is presented. The system's design integrates variations of ideas from other researchers, such as work stealing, non-blocking tasks...
Peter R. Cappello, Dimitros Mourloukos
JAVA
2001
Springer
13 years 12 months ago
A scalable, robust network for parallel computing
CX, a network-based computational exchange, is presented. The system’s design integrates variations of ideas from other researchers, such as work stealing, non-blocking tasks, e...
Peter R. Cappello, Dimitros Mourloukos