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KDD
2009
ACM
198views Data Mining» more  KDD 2009»
14 years 8 months ago
Pervasive parallelism in data mining: dataflow solution to co-clustering large and sparse Netflix data
All Netflix Prize algorithms proposed so far are prohibitively costly for large-scale production systems. In this paper, we describe an efficient dataflow implementation of a coll...
Srivatsava Daruru, Nena M. Marin, Matt Walker, Joy...
GLVLSI
2003
IEEE
202views VLSI» more  GLVLSI 2003»
14 years 1 months ago
System level design of real time face recognition architecture based on composite PCA
Design and implementation of a fast parallel architecture based on an improved principal component analysis (PCA) method called Composite PCA suitable for real-time face recogniti...
Rajkiran Gottumukkal, Vijayan K. Asari
ICMCS
2008
IEEE
168views Multimedia» more  ICMCS 2008»
14 years 2 months ago
A co-design platform for algorithm/architecture design exploration
The efficient implementation of multimedia algorithms, for the ever increasing complexity of the specifications and the emergence of the new generation of processing platforms c...
Christophe Lucarz, Marco Mattavelli, Julien Dubois
PPOPP
1995
ACM
13 years 11 months ago
High Performance Synchronization Algorithms for Multiprogrammed Multiprocessors
Scalable busy-wait synchronization algorithms are essential for achieving good parallel program performance on large scale multiprocessors. Such algorithms include mutual exclusio...
Robert W. Wisniewski, Leonidas I. Kontothanassis, ...
PPOPP
2005
ACM
14 years 1 months ago
A sampling-based framework for parallel data mining
The goal of data mining algorithm is to discover useful information embedded in large databases. Frequent itemset mining and sequential pattern mining are two important data minin...
Shengnan Cong, Jiawei Han, Jay Hoeflinger, David A...