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NIPS
2007
13 years 9 months ago
Parallelizing Support Vector Machines on Distributed Computers
Support Vector Machines (SVMs) suffer from a widely recognized scalability problem in both memory use and computational time. To improve scalability, we have developed a parallel ...
Edward Y. Chang, Kaihua Zhu, Hao Wang, Hongjie Bai...
ISMB
2000
13 years 9 months ago
Intelligent Aids for Parallel Experiment Planning and Macromolecular Crystallization
This paper presents a framework called Parallel Experiment Planning (PEP) that is based on an abstraction of how experiments are performed in the domain of macromolecular crystall...
Vanathi Gopalakrishnan, Bruce G. Buchanan, John M....
IJNSEC
2008
106views more  IJNSEC 2008»
13 years 8 months ago
Parallel Hardware Architectures for the Cryptographic Tate Pairing
Identity-based cryptography uses pairing functions,which are sophisticated bilinear maps defined on elliptic curves.Computing pairings efficiently in software is presently a relev...
Guido Marco Bertoni, Luca Breveglieri, Pasqualina ...
SIGMOD
2011
ACM
267views Database» more  SIGMOD 2011»
12 years 11 months ago
A latency and fault-tolerance optimizer for online parallel query plans
We address the problem of making online, parallel query plans fault-tolerant: i.e., provide intra-query fault-tolerance without blocking. We develop an approach that not only achi...
Prasang Upadhyaya, YongChul Kwon, Magdalena Balazi...
ECCV
2004
Springer
14 years 10 months ago
Parallel Variational Motion Estimation by Domain Decomposition and Cluster Computing
We present an approach to parallel variational optical flow computation on standard hardware by domain decomposition. Using an arbitrary partition of the image plane into rectangul...
Timo Kohlberger, Christoph Schnörr, Andr&eacu...