Abstract
Parallel execution uses the power of multiple system simultaneously thus comes out to be an efficient approach to handle and process complex problems producing result in less execution time. Present paper represents implementation of a Cache-oblivious algorithm for de-noising of corrupted images using parallel processing approach. In present era, there is a need to work with large sized image. Sequential execution of any process will results in long time of execution ultimately degradation of performance. This paper focuses to implement the algorithm on distributed objects by Cluster using RMI and utilize the concept of multithreading to enhance the depth of distributed parallel technology.
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Kaur, M., Girdhar, A., Bagga, S. (2016). Cluster Based Approach to Cache Oblivious Average Filter Using RMI. In: Corchado Rodriguez, J., Mitra, S., Thampi, S., El-Alfy, ES. (eds) Intelligent Systems Technologies and Applications 2016. ISTA 2016. Advances in Intelligent Systems and Computing, vol 530. Springer, Cham. https://doi.org/10.1007/978-3-319-47952-1_31
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DOI: https://doi.org/10.1007/978-3-319-47952-1_31
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