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» Accelerating K-Means on the Graphics Processor via CUDA
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AIPR
2008
IEEE
13 years 7 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...
PLDI
2012
ACM
11 years 7 months ago
Adaptive input-aware compilation for graphics engines
While graphics processing units (GPUs) provide low-cost and efficient platforms for accelerating high performance computations, the tedious process of performance tuning required...
Mehrzad Samadi, Amir Hormati, Mojtaba Mehrara, Jan...
ICANN
2010
Springer
13 years 6 months ago
Variational Bayesian Image Super-Resolution with GPU Acceleration
With the term super-resolution we refer to the problem of reconstructing an image of higher resolution than that of unregistered and degraded observations. Typically, the reconstru...
Giannis K. Chantas
IPPS
2010
IEEE
13 years 3 months ago
A GPU-inspired soft processor for high-throughput acceleration
There is building interest in using FPGAs as accelerators for high-performance computing, but existing systems for programming them are so far inadequate. In this paper we propose...
Jeffrey Kingyens, J. Gregory Steffan
GD
2008
Springer
13 years 6 months ago
Rapid Multipole Graph Drawing on the GPU
Abstract. As graphics processors become powerful, ubiquitous and easier to program, they have also become more amenable to general purpose high-performance computing, including the...
Apeksha Godiyal, Jared Hoberock, Michael Garland, ...