Fumihiko Ino, Yuki Kotani, Yuma Munekawa, Kenichi Hagihara
This paper presents a parallel system capable of accelerating biological sequence alignment on the graphics processing unit (GPU) grid. The GPU grid in this paper is a desktop grid system that utilizes idle GPUs and CPUs in the office and home. Our parallel implementation employs a master-worker paradigm to accelerate Liu’s OpenGL-based algorithm that runs […]
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Christopher Zach, David Gallup, Jan-Michael Frahm
High-performance feature tracking from video input is a valuable tool in many computer vision techniques and mixed reality applications. This work presents a refined and substantially accelerated approach to KLT feature tracking performed on the GPU. Additionally, a global gain ratio between successive frames is estimated to compensate for changes in the camera exposure. The […]
Specifications GPU G71 FLOPS 384 GFLOPS Stream Processing Units 2x 8/24 Core Clock 500 MHz Memory Clock 1200 MHz Effective Memory Clock 2400 Memory Type GDDR3 Amount of memory 2x 512 MB Memory Bandwidth 76.8 GB/sec Buswidth 2x 256 bit Tech process 90 nm Interface PCIe x16 PS/VS version 3.0/3.0 DirectX compliance 9.0c Retail Cards […]
Hadjira Bentoumi, Pascal Gautron, Kadi Bouatouch
During the quick advancements of medical image visualization and augmented virtual reality application, the low performance of the volume rendering algorithm is still a “bottle neck”. To facilitate the usage of well developed hardware resource, a novel graphics processing unit (GPU)-based volume ray-casting algorithm is proposed in this paper. Running on a normal PC, it […]
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Lukas Polok, Adam Herout, Pavel Zemcik, Michal Hradis, Roman Juranek, Radovan Josth
A currently popular trend in object detection and pattern recognition is usage of statistical classifiers, namely AdaBoost and its modifications. The speed performance of these classifiers largely depends on the low level image features they are using: both on the amount of information the feature provides and the executional time of its evaluation. Local Rank […]
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Antonio Ruiz, Manuel Ujaldon, Nicolas Guil
A broad family of problems in computer vision and image analysis require edge and circle detection. This paper explores the properties of the Hough transform for such tasks, improving them under a novel implementation on commodity graphics hardware. We demonstrate both a faster execution and a more reliable detection under different scenarios and a range […]
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Francesco Banterle, Roberto Giacobazzi
We propose an efficient implementation of the Octagon Abstract Domain (OAD) on Graphics Processing Unit (GPU) by exploiting stream processing to speed-up OAD computations. OAD is a relational numerical abstract domain which approximates invariants as conjunctions of constraints of the form
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