R-GPU
نویسندگان
چکیده
منابع مشابه
GPU-based Batched Spatial Query Processing on R-Trees
R-trees are popular spatial indexing techniques that have been widely used in many geospatial applications. The increasingly available Graphics Processing Units (GPUs) resources for general computing have attracted considerable research interests in applying the massive data parallel technologies to index and query geospatial data based on R-trees. In this paper, we investigate on the potential...
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Rgtsvm provides a fast and flexible support vector machine (SVM) implementation for the R language. The distinguishing feature of Rgtsvm is that support vector classification and support vector regression tasks are implemented on a graphical processing unit (GPU), allowing the libraries to scale to millions of examples with >100-fold improvement in performance over existing implementations. Nev...
متن کاملGPU-DRIVEN RECOMBINATION AND TRANSFORMATION OF YCoCg-R VIDEO SAMPLES
Common programmable Graphics Processing Units (GPU) are capable of more than just rendering real-time effects for games. They can also be used for image processing and the acceleration of video decoding. This paper describes an extended implementation of the H.264/AVC YCoCg-R to RGB color space transformation on the GPU. Both the color space transformation and recombination of the color samples...
متن کاملThe gputools package enables GPU computing in R
MOTIVATION By default, the R statistical environment does not make use of parallelism. Researchers may resort to expensive solutions such as cluster hardware for large analysis tasks. Graphics processing units (GPUs) provide an inexpensive and computationally powerful alternative. Using R and the CUDA toolkit from Nvidia, we have implemented several functions commonly used in microarray gene ex...
متن کاملGPU-based Spatial Indexing and Query Processing Using R-Trees
R-trees are popular spatial indexing techniques that have been widely used in many geospatial applications. The increasingly available Graphics Processing Units (GPUs) for general computing have attracted considerable research interests in applying the massive data parallel technologies to index and query geospatial data based on R-trees. In this paper, we investigate on the potential of accele...
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ژورنال
عنوان ژورنال: ACM Transactions on Architecture and Code Optimization
سال: 2016
ISSN: 1544-3566,1544-3973
DOI: 10.1145/2890506