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ICPP
2009
IEEE
14 years 3 months ago
Accelerating Lattice Boltzmann Fluid Flow Simulations Using Graphics Processors
—Lattice Boltzmann Methods (LBM) are used for the computational simulation of Newtonian fluid dynamics. LBM-based simulations are readily parallelizable; they have been implemen...
Peter Bailey, Joe Myre, Stuart D. C. Walsh, David ...
SBCCI
2003
ACM
129views VLSI» more  SBCCI 2003»
14 years 2 months ago
Hyperspectral Images Clustering on Reconfigurable Hardware Using the K-Means Algorithm
Unsupervised clustering is a powerful technique for understanding multispectral and hyperspectral images, being k-means one of the most used iterative approaches. It is a simple th...
Abel Guilhermino S. Filho, Alejandro César ...
GCCB
2006
14 years 16 days ago
Accelerated microRNA-Precursor Detection Using the Smith-Waterman Algorithm on FPGAs
During the last few years more and more functionalities of RNA have been discovered that were previously thought of being carried out by proteins alone. One of the most striking di...
Patrick May, Gunnar W. Klau, Markus Bauer, Thomas ...
IPPS
2009
IEEE
14 years 3 months ago
Early experiences on accelerating Dijkstra's algorithm using transactional memory
In this paper we use Dijkstra’s algorithm as a challenging, hard to parallelize paradigm to test the efficacy of several parallelization techniques in a multicore architecture....
Nikos Anastopoulos, Konstantinos Nikas, Georgios I...
RT
2004
Springer
14 years 2 months ago
Hardware Accelerated Visibility Preprocessing using Adaptive Sampling
We present a novel aggressive visibility preprocessing technique for general 3D scenes. Our technique exploits commodity graphics hardware and is faster than most conservative sol...
Shaun Nirenstein, Edwin H. Blake