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CORR
2010
Springer
153views Education» more  CORR 2010»
15 years 2 months ago
GraphLab: A New Framework for Parallel Machine Learning
Designing and implementing efficient, provably correct parallel machine learning (ML) algorithms is challenging. Existing high-level parallel abstractions like MapReduce are insuf...
Yucheng Low, Joseph Gonzalez, Aapo Kyrola, Danny B...
109
Voted
STOC
2001
ACM
123views Algorithms» more  STOC 2001»
16 years 2 months ago
On optimal slicing of parallel programs
Optimal program slicing determines for a statement S in a program whether or not S affects a specified set of statements, given that all conditionals in are interpreted as non-d...
Markus Müller-Olm, Helmut Seidl
WEA
2004
Springer
150views Algorithms» more  WEA 2004»
15 years 7 months ago
Increased Bit-Parallelism for Approximate String Matching
Abstract. Bit-parallelism permits executing several operations simultaneously over a set of bits or numbers stored in a single computer word. This technique permits searching for t...
Heikki Hyyrö, Kimmo Fredriksson, Gonzalo Nava...
117
Voted
IJCNN
2007
IEEE
15 years 8 months ago
Parallel Learning of Large Fuzzy Cognitive Maps
— Fuzzy Cognitive Maps (FCMs) are a class of discrete-time Artificial Neural Networks that are used to model dynamic systems. A recently introduced supervised learning method, wh...
Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz
158
Voted
CL
2007
Springer
15 years 2 months ago
A bulk-synchronous parallel process algebra
The CCS (Calculus of Communicating Systems) process algebra is a well-known formal model of synchronization and communication. It is used for the analysis of safety and liveness i...
Armelle Merlin, Gaétan Hains