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» To Parallelize or Not to Parallelize, Speed Up Issue
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ESCIENCE
2006
IEEE
15 years 9 months ago
Grid Approach to Embarrassingly Parallel CPU-Intensive Bioinformatics Problems
Bioinformatics algorithms such as sequence alignment methods based on profile-HMM (Hidden Markov Model) are popular but CPU-intensive. If large amounts of data are processed, a s...
Heinz Stockinger, Marco Pagni, Lorenzo Cerutti, La...
CTRSA
2010
Springer
216views Cryptology» more  CTRSA 2010»
15 years 10 months ago
Speed Records for NTRU
In this paper NTRUEncrypt is implemented for the first time on a GPU using the CUDA platform. As is shown, this operation lends itself excellently for parallelization and performs...
Jens Hermans, Frederik Vercauteren, Bart Preneel
ISPAN
2009
IEEE
15 years 9 months ago
High Speed Articulated Object Tracking Using GPUs: A Particle Filter Approach
—This paper presents a novel application of the GPU processing power to a very computationally demanding articulated human body tracking problem in a view-based approach. This wo...
Raúl Cabido, David Concha, Juan José...
DAGM
2008
Springer
15 years 4 months ago
Sliding-Windows for Rapid Object Class Localization: A Parallel Technique
Abstract. This paper presents a fast object class localization framework implemented on a data parallel architecture currently available in recent computers. Our case study, the im...
Christian Wojek, Gyuri Dorkó, André ...
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IPPS
2006
IEEE
15 years 9 months ago
Accelerating shape optimizing load balancing for parallel FEM simulations by algebraic multigrid
We propose a load balancing heuristic for parallel adaptive finite element method (FEM) simulations. In contrast to most existing approaches, the heuristic focuses on good partit...
Henning Meyerhenke, Burkhard Monien, Stefan Schamb...