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111
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PDCN
2004
15 years 2 months ago
K-Means VQ algorithm using a low-cost parallel cluster computing
It is well-known that the time and memory necessary to create a codebook from large training databases have hindered the vector quantization based systems for real applications. T...
Paulo Sergio Lopes de Souza, Alceu de Souza Britto...
100
Voted
IPPS
1998
IEEE
15 years 4 months ago
Comparing the Optimal Performance of Different MIMD Multiprocessor Architectures
We compare the performance of systems consisting of one large cluster containing q processors with systems where processors are grouped into k clusters containing u processors eac...
Lars Lundberg, Håkan Lennerstad
HEURISTICS
2002
99views more  HEURISTICS 2002»
15 years 18 days ago
Parallelizing Tabu Search on a Cluster of Heterogeneous Workstations
In this paper, we present the parallelization of tabu search on a network of workstations using PVM. Two parallelization strategies are integrated: functional decomposition strate...
Ahmad A. Al-Yamani, Sadiq M. Sait, Habib Youssef, ...
96
Voted
CEC
2005
IEEE
15 years 6 months ago
A parallel Monte Carlo simulation on cluster systems for financial derivatives pricing
In recent years the complexity of numerical computations in computational financial applications has been increased enormously. Monte Carlo algorithm is one of main tools in comput...
Jin Suk Kim, Suk Joon Byun
104
Voted
IPPS
1999
IEEE
15 years 5 months ago
Communication-Intensive Parallel Applications and Non-dedicated Clusters of Workstations
Time-sharing operating systems may delay application processing of incoming messages because other processes are scheduled when the messages arrive. In this paper, we present a sim...
Kritchalach Thitikamol, Peter J. Keleher