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» Massively parallel computing using commodity components
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ICML
2009
IEEE
14 years 9 months ago
Large-scale deep unsupervised learning using graphics processors
The promise of unsupervised learning methods lies in their potential to use vast amounts of unlabeled data to learn complex, highly nonlinear models with millions of free paramete...
Rajat Raina, Anand Madhavan, Andrew Y. Ng
COREGRID
2007
Springer
14 years 3 months ago
Interoperability of Grid component models: GCM and CCA case study
This paper presents a case study in the generic design of Grid component models. It defines a framework allowing two component systems, one running in a CCA environment, and anoth...
Maciej Malawski, Marian Bubak, Françoise Ba...
IPPS
2002
IEEE
14 years 1 months ago
An Approach to Compositional Model Checking
A natural trend in most of the engineering disciplines is the construction of systems from components. This has the potential to reduce costs and increase reliability, provided th...
Hector A. Andrade, Beverly Sanders
PVM
2005
Springer
14 years 2 months ago
Analysis of the Component Architecture Overhead in Open MPI
Abstract. Component architectures provide a useful framework for developing an extensible and maintainable code base upon which largescale software projects can be built. Component...
Brian Barrett, Jeffrey M. Squyres, Andrew Lumsdain...
MIDDLEWARE
2001
Springer
14 years 1 months ago
An Efficient Component Model for the Construction of Adaptive Middleware
Middleware has emerged as an important architectural component in modern distributed systems. Most recently, industry has witnessed the emergence of component-based middleware pla...
Michael Clarke, Gordon S. Blair, Geoff Coulson, Ni...