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BMCBI
2008
211views more  BMCBI 2008»
13 years 11 months ago
CUDA compatible GPU cards as efficient hardware accelerators for Smith-Waterman sequence alignment
Background: Searching for similarities in protein and DNA databases has become a routine procedure in Molecular Biology. The Smith-Waterman algorithm has been available for more t...
Svetlin Manavski, Giorgio Valle
JEI
2006
162views more  JEI 2006»
13 years 10 months ago
Markovian segmentation and parameter estimation on graphics hardware
In this paper, we show how Markovian strategies used to solve well-known segmentation problems such as motion estimation, motion detection, motion segmentation, stereovision, and c...
Pierre-Marc Jodoin, Max Mignotte
AFRICACRYPT
2010
Springer
14 years 2 months ago
Practical Improvements of Profiled Side-Channel Attacks on a Hardware Crypto-Accelerator
Abstract. This article investigates the relevance of the theoretical framework on profiled side-channel attacks presented by F.-X. Standaert et al. at Eurocrypt 2009. The analyses ...
M. Abdelaziz Elaabid, Sylvain Guilley
VISUALIZATION
2005
IEEE
14 years 4 months ago
Exploiting Frame-to-Frame Coherence for Accelerating High-Quality Volume Raycasting on Graphics Hardware
GPU-based raycasting offers an interesting alternative to conventional slice-based volume rendering due to the inherent flexibility and the high quality of the generated images. ...
Thomas Klein, Magnus Strengert, Simon Stegmaier, T...
FCCM
1998
IEEE
169views VLSI» more  FCCM 1998»
14 years 3 months ago
Scalable Network Based FPGA Accelerators for an Automatic Target Recognition Application
Abstract Image processing, specifically Automatic Target Recognition (ATR) in Synthetic Aperture Radar (SAR) imagery, is an application area that can require tremendous processing ...
Ruth Sivilotti, Young Cho, Wen-King Su, Danny Cohe...