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AI
2011
Springer
14 years 8 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
SIAMSC
2011
140views more  SIAMSC 2011»
14 years 7 months ago
A Fast Parallel Algorithm for Selected Inversion of Structured Sparse Matrices with Application to 2D Electronic Structure Calcu
Abstract. An efficient parallel algorithm is presented and tested for computing selected components of H−1 where H has the structure of a Hamiltonian matrix of two-dimensional la...
Lin Lin, Chao Yang, Jianfeng Lu, Lexing Ying, Wein...
PVM
2004
Springer
15 years 9 months ago
A Refinement Strategy for a User-Oriented Performance Analysis
We introduce a refinement strategy to bring the parallel performance analysis closer to the user. The analysis starts with a simple high-level performance model. It is based on fir...
Jan Lemeire, Andy Crijns, John Crijns, Erik F. Dir...
FOSSACS
2004
Springer
15 years 9 months ago
Angelic Semantics of Fine-Grained Concurrency
We introduce a game model for an Algol-like programming language with primitives for parallel composition and synchronization on semaphores. The semantics is based on a simplifie...
Dan R. Ghica, Andrzej S. Murawski
CONCUR
2004
Springer
15 years 8 months ago
A General Approach to Comparing Infinite-State Systems with Their Finite-State Specifications
We introduce a generic family of behavioral relations for which the problem of comparing an arbitrary transition system to some finite-state specification can be reduced to a model...
Antonín Kucera, Ph. Schnoebelen