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» Bases for parametrized iterativity
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96
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ALT
2008
Springer
15 years 10 months ago
Entropy Regularized LPBoost
In this paper we discuss boosting algorithms that maximize the soft margin of the produced linear combination of base hypotheses. LPBoost is the most straightforward boosting algor...
Manfred K. Warmuth, Karen A. Glocer, S. V. N. Vish...
ICS
2009
Tsinghua U.
15 years 8 months ago
Tuned and wildly asynchronous stencil kernels for hybrid CPU/GPU systems
We describe heterogeneous multi-CPU and multi-GPU implementations of Jacobi’s iterative method for the 2-D Poisson equation on a structured grid, in both single- and doublepreci...
Sundaresan Venkatasubramanian, Richard W. Vuduc
105
Voted
IPPS
2006
IEEE
15 years 7 months ago
Dynamic performance prediction of an adaptive mesh application
While it is possible to accurately predict the execution time of a given iteration of an adaptive application, it is not generally possible to predict the data-dependent adaptive ...
Mark M. Mathis, Darren J. Kerbyson
116
Voted
ASPDAC
2009
ACM
164views Hardware» more  ASPDAC 2009»
15 years 5 months ago
High-performance global routing with fast overflow reduction
Global routing is an important step for physical design. In this paper, we develop a new global router, NTUgr, that contains three major steps: prerouting, initial routing, and enh...
Huang-Yu Chen, Chin-Hsiung Hsu, Yao-Wen Chang
PC
2008
119views Management» more  PC 2008»
15 years 1 months ago
GREMLINS: a large sparse linear solver for grid environment
Traditional large sparse linear solvers are not suited in a grid computing environment as they require a large amount of synchronization and communication penalizing the performan...
Raphaël Couturier, Christophe Denis, Fabienne...