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» Optimizing for parallelism and data locality
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IPPS
2000
IEEE
15 years 5 months ago
A General Parallel Simulated Annealing Library and its Application in Airline Industry
To solve real-world discrete optimization problems approximately metaheuristics such as simulated annealing and other local search methods are commonly used. For large instances o...
Georg Kliewer, Stefan Tschöke
VLDB
1998
ACM
138views Database» more  VLDB 1998»
15 years 4 months ago
TOPAZ: a Cost-Based, Rule-Driven, Multi-Phase Parallelizer
Currently the key problems of query optimization are extensibility imposed by object-relational technology, as well as query complexity caused by forthcoming applications, such as...
Clara Nippl, Bernhard Mitschang
96
Voted
CCGRID
2008
IEEE
15 years 7 months ago
Optimized Distributed Data Sharing Substrate in Multi-core Commodity Clusters: A Comprehensive Study with Applications
Distributed applications tend to have a complex design due to issues such as concurrency, synchronization and communication. Researchers in the past have proposed abstractions to ...
Karthikeyan Vaidyanathan, Ping Lai, Sundeep Narrav...
93
Voted
ML
2010
ACM
14 years 11 months ago
Semi-supervised local Fisher discriminant analysis for dimensionality reduction
When only a small number of labeled samples are available, supervised dimensionality reduction methods tend to perform poorly due to overfitting. In such cases, unlabeled samples ...
Masashi Sugiyama, Tsuyoshi Idé, Shinichi Na...
NIPS
2004
15 years 2 months ago
Parallel Support Vector Machines: The Cascade SVM
We describe an algorithm for support vector machines (SVM) that can be parallelized efficiently and scales to very large problems with hundreds of thousands of training vectors. I...
Hans Peter Graf, Eric Cosatto, Léon Bottou,...