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IJPP
2011
99views more  IJPP 2011»
13 years 3 months ago
Regular Lattice and Small-World Spin Model Simulations Using CUDA and GPUs
Data-parallel accelerator devices such as Graphical Processing Units (GPUs) are providing dramatic performance improvements over even multicore CPUs for lattice-oriented applicatio...
Kenneth A. Hawick, Arno Leist, Daniel P. Playne
CGI
2006
IEEE
14 years 2 months ago
Real-Time Shadow Volume Algorithm for Subdivision Surface Based Models
This paper presents a purely hardware-accelerated shadow volume algorithm for subdivision surface based models. By introducing SP (subdivision patterns), all procedures, including ...
Min Tang, Jinxiang Dong, Shang-Ching Chou
FCCM
2006
IEEE
120views VLSI» more  FCCM 2006»
14 years 2 months ago
FPGAs, GPUs and the PS2 - A Single Programming Methodology
Field programmable gate arrays (FPGAs), graphics processing units (GPUs) and Sony’s Playstation 2 vector units offer scope for hardware acceleration of applications. Implementin...
Lee W. Howes, Paul Price, Oskar Mencer, Olav Beckm...
ICVS
2009
Springer
14 years 3 months ago
GPU-Accelerated Nearest Neighbor Search for 3D Registration
Abstract. Nearest Neighbor Search (NNS) is employed by many computer vision algorithms. The computational complexity is large and constitutes a challenge for real-time capability. ...
Deyuan Qiu, Stefan May, Andreas Nüchter
AIPR
2008
IEEE
13 years 10 months ago
Low-cost, high-speed computer vision using NVIDIA's CUDA architecture
In this paper, we introduce real time image processing techniques using modern programmable Graphic Processing Units (GPU). GPUs are SIMD (Single Instruction, Multiple Data) device...
Seung In Park, Sean P. Ponce, Jing Huang, Yong Cao...