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» New models and algorithms for programmable networks
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EDBT
2010
ACM
145views Database» more  EDBT 2010»
15 years 4 months ago
Splash: ad-hoc querying of data and statistical models
Data mining is increasingly performed by people who are not computer scientists or professional programmers. It is often done as an iterative process involving multiple ad-hoc tas...
Lujun Fang, Kristen LeFevre
SIGMOD
2004
ACM
166views Database» more  SIGMOD 2004»
16 years 29 days ago
Fast Computation of Database Operations using Graphics Processors
We present new algorithms on commodity graphics processors to perform fast computation of several common database operations. Specifically, we consider operations such as conjunct...
Naga K. Govindaraju, Brandon Lloyd, Wei Wang 0010,...
IPPS
2003
IEEE
15 years 6 months ago
Applying Aspect-Orient Programming Concepts to a Component-Based Programming Model
Abstract— The execution environments For scientific applications have evolved significantly over the years. Vector and parallel architectures have provided significantly faste...
Thomas Eidson, Jack Dongarra, Victor Eijkhout
INTERSPEECH
2010
14 years 7 months ago
Exploring recognition network representations for efficient speech inference on highly parallel platforms
The emergence of highly parallel computing platforms is enabling new trade-offs in algorithm design for automatic speech recognition. It naturally motivates the following investig...
Jike Chong, Ekaterina Gonina, Kisun You, Kurt Keut...
KDD
2010
ACM
265views Data Mining» more  KDD 2010»
15 years 2 months ago
Scalable influence maximization for prevalent viral marketing in large-scale social networks
Influence maximization, defined by Kempe, Kleinberg, and Tardos (2003), is the problem of finding a small set of seed nodes in a social network that maximizes the spread of influe...
Wei Chen, Chi Wang, Yajun Wang