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» Using Machine Learning to Guide Architecture Simulation
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HPDC
2000
IEEE
14 years 10 days ago
Evaluation of Task Assignment Policies for Supercomputing Servers: The Case for Load Unbalancing and Fairness
While the MPP is still the most common architecture in supercomputer centers today, a simpler and cheaper machine configuration is growing increasingly common. This alternative s...
Bianca Schroeder, Mor Harchol-Balter
TNN
2008
143views more  TNN 2008»
13 years 7 months ago
Blur Identification by Multilayer Neural Network Based on Multivalued Neurons
A multilayer neural network based on multivalued neurons (MLMVN) is a neural network with a traditional feedforward architecture. At the same time, this network has a number of spe...
Igor N. Aizenberg, Dmitriy Paliy, Jacek M. Zurada,...
PPSN
2004
Springer
14 years 1 months ago
A Neuroevolutionary Approach to Emergent Task Decomposition
A scalable architecture to facilitate emergent (self-organized) task decomposition using neural networks and evolutionary algorithms is presented. Various control system architectu...
Jekanthan Thangavelautham, Gabriele M. T. D'Eleute...
SIGMETRICS
1997
ACM
111views Hardware» more  SIGMETRICS 1997»
14 years 3 days ago
Cache Behavior of Network Protocols
In this paper we present a performance study of memory reference behavior in network protocol processing, using an Internet-based protocol stack implemented in the x-kernel runnin...
Erich M. Nahum, David J. Yates, James F. Kurose, D...
OOPSLA
2009
Springer
14 years 2 months ago
A concurrent dynamic analysis framework for multicore hardware
Software has spent the bounty of Moore’s law by solving harder problems and exploiting abstractions, such as highlevel languages, virtual machine technology, binary rewritdynami...
Jungwoo Ha, Matthew Arnold, Stephen M. Blackburn, ...