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GSWO: A programming model for GPU-enabled parallelization of sliding window operations in image processing
2016
Signal processing. Image communication
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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
2018
IEEE Transactions on Industrial Informatics
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A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
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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