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AI
2011
Springer
12 years 10 months ago
Parallelizing a Convergent Approximate Inference Method
Probabilistic inference in graphical models is a prevalent task in statistics and artificial intelligence. The ability to perform this inference task efficiently is critical in l...
Ming Su, Elizabeth Thompson
IPPS
1997
IEEE
13 years 11 months ago
Performance Analysis and Optimization on a Parallel Atmospheric General Circulation Model Code
An analysis is presented of the primary factors influencing the performance of a parallel implementation of the UCLA atmospheric general circulation model (AGCM) on distributedme...
John Z. Lou, John D. Farrara
CIKM
2009
Springer
14 years 1 months ago
SPIDER: a system for scalable, parallel / distributed evaluation of large-scale RDF data
RDF is a data model for representing labeled directed graphs, and it is used as an important building block of semantic web. Due to its flexibility and applicability, RDF has bee...
Hyunsik Choi, Jihoon Son, YongHyun Cho, Min Kyoung...
IPPS
2007
IEEE
14 years 1 months ago
SWARM: A Parallel Programming Framework for Multicore Processors
Due to fundamental physical limitations and power constraints, we are witnessing a radical change in commodity microprocessor architectures to multicore designs. Continued perform...
David A. Bader, Varun Kanade, Kamesh Madduri
CCGRID
2001
IEEE
13 years 10 months ago
XtremWeb: A Generic Global Computing System
Global Computing achieves high throughput computing by harvesting a very large number of unused computing resources connected to the Internet. This parallel computing model target...
Gilles Fedak, Cécile Germain, Vincent N&eac...