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PPSN
2010
Springer
13 years 7 months ago
Feature Selection for Multi-purpose Predictive Models: A Many-Objective Task
The target of machine learning is a predictive model that performs well on unseen data. Often, such a model has multiple intended uses, related to different points in the tradeoff ...
Alan P. Reynolds, David W. Corne, Michael J. Chant...
PARA
2004
Springer
14 years 2 months ago
Parallel Hybrid Sparse Solvers Through Flexible Incomplete Cholesky Preconditioning
Abstract. We consider parallel preconditioning schemes to accelerate the convergence of Conjugate Gradients (CG) for sparse linear system solution. We develop methods for construct...
Keita Teranishi, Padma Raghavan
EUROPAR
2008
Springer
13 years 11 months ago
Bi-objective Approximation Scheme for Makespan and Reliability Optimization on Uniform Parallel Machines
We study the problem of scheduling independent tasks on a set of related processors which have a probability of failure governed by an exponential law. We are interested in the bi-...
Emmanuel Jeannot, Erik Saule, Denis Trystram
ICPP
2008
IEEE
14 years 3 months ago
Thermal Management for 3D Processors via Task Scheduling
A rising horizon in chip fabrication is the 3D integration technology. It stacks two or more dies vertically with a dense, high-speed interface to increase the device density and ...
Xiuyi Zhou, Yi Xu, Yu Du, Youtao Zhang, Jun Yang 0...
ICS
2005
Tsinghua U.
14 years 2 months ago
Tasking with out-of-order spawn in TLS chip multiprocessors: microarchitecture and compilation
Chip Multiprocessors (CMPs) are flexible, high-frequency platforms on which to support Thread-Level Speculation (TLS). However, for TLS to deliver on its promise, CMPs must explo...
Jose Renau, James Tuck, Wei Liu, Luis Ceze, Karin ...