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Accelerating Visual Categorization with the GPU
2012Visual categorization is important to manage large collections of digital images and video, where textual meta-data is often incomplete or simply unavailable. The bag-of-words model has become the most powerful method for visual categorization of images and video. Despite its high accuracy, a severe drawback of this model is its high computational cost.
Koen E. A. van de Sande +2 more
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GPU acceleration of numerical weather prediction
2008 IEEE International Symposium on Parallel and Distributed Processing, 2008Weather 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 in weather models, much of the performance increase has come from increasing processor speed rather than increased parallelism. This free ride is nearly over.
John Michalakes, Manish Vachharajani
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Accelerating RTL simulation with GPUs
2011 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 2011Hao Qian 0001, Yangdong Deng
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GPU acceleration of MPAS microphysics WSM6 using OpenACC directives: Performance and verification
Computers and Geosciences, 2021Ji-Sun Kang, Minsu Joh
exaly
The evolution of GPU accelerated computing
2012 SC Companion: High Performance Computing, Networking Storage and Analysis, 2012openaire +1 more source