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» Parallel matrix algorithms and applications
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HPDC
2008
IEEE
14 years 4 months ago
Scheduling mixed-parallel applications with advance reservations
This paper investigates the scheduling of mixed-parallel applications, which exhibit both task and data parallelism, in advance reservations settings. Both the problem of minimizi...
Kento Aida, Henri Casanova
SC
2000
ACM
14 years 2 months ago
Parallel Smoothed Aggregation Multigrid: Aggregation Strategies on Massively Parallel Machines
Algebraic multigrid methods offer the hope that multigrid convergence can be achieved (for at least some important applications) without a great deal of effort from engineers an...
Ray S. Tuminaro, Charles Tong
ICPP
2005
IEEE
14 years 3 months ago
Filter Decomposition for Supporting Coarse-Grained Pipelined Parallelism
We consider the filter decomposition problem in supporting coarse-grained pipelined parallelism. This form of parallelism is suitable for data-driven applications in scenarios wh...
Wei Du, Gagan Agrawal
GECCO
2004
Springer
14 years 3 months ago
The Lens Design Using the CMA-ES Algorithm
This paper presents a lens system design algorithm using the covariance matrix adaptation evolution strategy (CMA-ES), which is one of the most powerful self-adaptation mechanisms....
Yuichi Nagata
ICDM
2010
IEEE
264views Data Mining» more  ICDM 2010»
13 years 8 months ago
Block-GP: Scalable Gaussian Process Regression for Multimodal Data
Regression problems on massive data sets are ubiquitous in many application domains including the Internet, earth and space sciences, and finances. In many cases, regression algori...
Kamalika Das, Ashok N. Srivastava