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ESOP
2011
Springer
14 years 10 months ago
Measure Transformer Semantics for Bayesian Machine Learning
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
Johannes Borgström, Andrew D. Gordon, Michael...
HPDC
1999
IEEE
15 years 10 months ago
Starfish: Fault-Tolerant Dynamic MPI Programs on Clusters of Workstations
This paper reports on the architecture and design of Starfish, an environment for executing dynamic (and static) MPI-2 programs on a cluster of workstations. Starfish is unique in ...
Adnan Agbaria, Roy Friedman
CORR
2008
Springer
142views Education» more  CORR 2008»
15 years 6 months ago
A Gaussian Belief Propagation Solver for Large Scale Support Vector Machines
Support vector machines (SVMs) are an extremely successful type of classification and regression algorithms. Building an SVM entails solving a constrained convex quadratic program...
Danny Bickson, Elad Yom-Tov, Danny Dolev
ICFP
2012
ACM
13 years 8 months ago
Nested data-parallelism on the gpu
Graphics processing units (GPUs) provide both memory bandwidth and arithmetic performance far greater than that available on CPUs but, because of their Single-Instruction-Multiple...
Lars Bergstrom, John H. Reppy
FTDCS
1999
IEEE
15 years 10 months ago
PODC: Paradigm-Oriented Distributed Computing
We describe an environment for distributed computing that uses the concept of well-known paradigms. The main advantage of paradigmoriented distributed computing (PODC) is that the...
Hairong Kuang, Lubomir Bic, Michael B. Dillencourt...