360 search results - page 44 / 72 » Scalable Analysis of Linear Systems Using Mathematical Progr... |
CIKM
2008
Springer
13 years 10 months ago
2008
Springer
Data sparsity, scalability and prediction quality have been recognized as the three most crucial challenges that every collaborative filtering algorithm or recommender system conf...
PVM
2004
Springer
14 years 1 months ago
2004
Springer
We introduce a refinement strategy to bring the parallel performance analysis closer to the user. The analysis starts with a simple high-level performance model. It is based on fir...
IPPS
2010
IEEE
13 years 6 months ago
2010
IEEE
The Coarse-Grained Monte Carlo (CGMC) method is a multi-scale stochastic mathematical and simulation framework for spatially distributed systems. CGMC simulations are important too...
WCE
2007
13 years 9 months ago
2007
—In the design process of complex systems, the designer is solving an optimization problem, which involves different disciplines and where all design criteria have to be optimize...
VEE
2012
ACM
12 years 4 months ago
2012
ACM
As cloud-based computation becomes increasingly important, providing a general computational interface to support datacenterscale programming has become an imperative research age...