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» Sparse matrix factorization on massively parallel computers
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MIDDLEWARE
2005
Springer
15 years 3 months ago
Matrix: Adaptive Middleware for Distributed Multiplayer Games
Building a distributed middleware infrastructure that provides the low latency required for massively multiplayer games while still maintaining consistency is non-trivial. Previous...
Rajesh Krishna Balan, Maria Ebling, Paul Castro, A...
82
Voted
IPPS
2005
IEEE
15 years 3 months ago
Reducing Power with Performance Constraints for Parallel Sparse Applications
Sparse and irregular computations constitute a large fraction of applications in the data-intensive scientific domain. While every effort is made to balance the computational wor...
Guangyu Chen, Konrad Malkowski, Mahmut T. Kandemir...
NAA
2000
Springer
97views Mathematics» more  NAA 2000»
15 years 1 months ago
Nested-Dissection Orderings for Sparse LU with Partial Pivoting
We describe the implementation and performance of a novel fill-minimization ordering technique for sparse LU factorization with partial pivoting. The technique was proposed by Gilb...
Igor Brainman, Sivan Toledo
124
Voted
ICCS
2009
Springer
14 years 7 months ago
Parallel MLEM on Multicore Architectures
Abstract. The efficient use of multicore architectures for sparse matrixvector multiplication (SpMV) is currently an open challenge. One algorithm which makes use of SpMV is the ma...
Tilman Küstner, Josef Weidendorfer, Jasmine S...
EUROPAR
2005
Springer
15 years 3 months ago
A Paradigm for Parallel Matrix Algorithms:
A style for programming problems from matrix algebra is developed with a familiar example and new tools, yielding high performance with a couple of surprising exceptions. The under...
David S. Wise, Craig Citro, Joshua Hursey, Fang Li...