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ICRA
2009
IEEE
204views Robotics» more  ICRA 2009»
14 years 2 months ago
A high-speed multi-GPU implementation of bottom-up attention using CUDA
— In this paper a novel implementation of the saliency map model on a multi-GPU platform using CUDA technology is presented. The saliency map model is a wellknown computational m...
Tingting Xu, Thomas Pototschnig, Kolja Kühnle...
CORR
2010
Springer
178views Education» more  CORR 2010»
13 years 7 months ago
Fast Histograms using Adaptive CUDA Streams
Histograms are widely used in medical imaging, network intrusion detection, packet analysis and other streambased high throughput applications. However, while porting such software...
Sisir Koppaka, Dheevatsa Mudigere, Srihari Narasim...
ICASSP
2011
IEEE
12 years 11 months ago
Parallel implementation of Multi-dimensional Ensemble Empirical Mode Decomposition
In this paper, we propose and evaluate two parallel implementations of Multi-dimensional Ensemble Empirical Mode Decomposition (MEEMD) for multi-core (CPU) and many-core (GPU) arc...
Li-Wen Chang, Men-Tzung Lo, Nasser Anssari, Ke-Hsi...
IPPS
2008
IEEE
14 years 2 months ago
GPU acceleration of numerical weather prediction
Weather and climate prediction software has enjoyed the benefits of exponentially increasing processor power for almost 50 years. Even with the advent of large-scale parallelism ...
John Michalakes, Manish Vachharajani
IPPS
2010
IEEE
13 years 5 months ago
Dynamic load balancing on single- and multi-GPU systems
The computational power provided by many-core graphics processing units (GPUs) has been exploited in many applications. The programming techniques currently employed on these GPUs...
Long Chen, Oreste Villa, Sriram Krishnamoorthy, Gu...