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» Interior-Point Methods in Parallel Computation
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SC
1991
ACM
15 years 5 months ago
A method of vector processing for shared symbolic data
Kanada, Y., A method of vector processing for shared symbolic data, Parallel Computing, X (1993) XXX-XXX. Conventional processing techniques for pipelined vector processors such a...
Yasusi Kanada
91
Voted
IPPS
2002
IEEE
15 years 7 months ago
Distribution Sweeping on Clustered Machines with Hierarchical Memories
This paper investigates the design of parallel algorithmic strategies that address the efficient use of both, memory hierarchies within each processor and a multilevel clustered ...
Frank K. H. A. Dehne, Stefano Mardegan, Andrea Pie...
111
Voted
CEC
2008
IEEE
15 years 9 months ago
Parallel multi-objective optimization using Master-Slave model on heterogeneous resources
Abstract— In this paper, we study parallelization of multiobjective optimization algorithms on a set of hetergeneous resources based on the Master-Slave model. Master-Slave model...
Sanaz Mostaghim, Jürgen Branke, Andrew Lewis,...
PDPTA
2000
15 years 3 months ago
A Parallel Boundary Value Technique for Singularly Perturbed Two-Point Boundary Value Problems
A class of singularly perturbed two-point boundary-value problems (BVPs) for second-order ordinary differential equations (DEs) is considered here. In order to obtain numerical sol...
Srinivasan Natesan, Jesús Vigo-Aguiar
IFIP12
2008
15 years 3 months ago
P-Prism: A Computationally Efficient Approach to Scaling up Classification Rule Induction
Top Down Induction of Decision Trees (TDIDT) is the most commonly used method of constructing a model from a dataset in the form of classification rules to classify previously unse...
Frederic T. Stahl, Max A. Bramer, Mo Adda