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» Distributed Data Clustering Can Be Efficient and Exact
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HPCA
1998
IEEE
15 years 10 months ago
Challenging Applications on Fast Networks
Parallel computing on clusters of workstations is attractive because of the low costs in comparison to MPPs, but the speed of the local area network limits the class of applicatio...
Koen Langendoen, Rutger F. H. Hofman, Henri E. Bal
ICPADS
2010
IEEE
15 years 4 months ago
Data-Aware Task Scheduling on Multi-accelerator Based Platforms
To fully tap into the potential of heterogeneous machines composed of multicore processors and multiple accelerators, simple offloading approaches in which the main trunk of the ap...
Cédric Augonnet, Jérôme Clet-O...
184
Voted
IPPS
2003
IEEE
15 years 11 months ago
A Compilation Framework for Distributed Memory Parallelization of Data Mining Algorithms
With the availability of large datasets in a variety of scientific and commercial domains, data mining has emerged as an important area within the last decade. Data mining techni...
Xiaogang Li, Ruoming Jin, Gagan Agrawal
SIGMOD
2004
ACM
140views Database» more  SIGMOD 2004»
16 years 6 months ago
Incremental and Effective Data Summarization for Dynamic Hierarchical Clustering
Mining informative patterns from very large, dynamically changing databases poses numerous interesting challenges. Data summarizations (e.g., data bubbles) have been proposed to c...
Corrine Cheng, Jörg Sander, Samer Nassar
NIPS
1998
15 years 7 months ago
Efficient Bayesian Parameter Estimation in Large Discrete Domains
In this paper we examine the problem of estimating the parameters of a multinomial distribution over a large number of discreteoutcomes,most of which do not appearin the training ...
Nir Friedman, Yoram Singer