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GSWO: A programming model for GPU-enabled parallelization of sliding window operations in image processing

Po Yang, Gordon Clapworthy, Feng Dong, Valeriu Codreanu, David Williams, Baoquan Liu, Jos BTM Roerdink, Zhikun Deng
2016 Signal processing. Image communication  
It presents a new programming model, GSWO, that allows GPU-enabled parallelization of SWOs for image processing in a highly automated mannerthe users can annotate their source code for image filters using  ...  Conclusion and Future Work This paper has presented an annotation-based programming model, GSWO, which supports sliding window operations in a wide range of image filters.  ...  CUDA code of memory creation pragmas  ... 
doi:10.1016/j.image.2016.05.003 fatcat:vnrbpqgmgzgvfot2z3l4cjlk7u

Improving Utility of GPU in Accelerating Industrial Applications With User-Centered Automatic Code Translation

Po Yang, Feng Dong, Valeriu Codreanu, David Williams, Jos B. T. M. Roerdink, Baoquan Liu, Amjad Anvari-Moghaddam, Geyong Min
2018 IEEE Transactions on Industrial Informatics  
But due to the lack of specialist GPU (Graphics processing units) programming skills, the explosion of GPU power has not been fully utilized in general SME applications by inexperienced users.  ...  This system designs and implements a directive programming model with new kernel generation scheme and memory management hierarchy to optimize its performance.  ...  Sliding Window Image FIlter: Sliding Window Operation is a very popular technique in image processing.  ... 
doi:10.1109/tii.2017.2731362 fatcat:hsia7532pfaerbmj7i4ucuikhm