In recent years, applications in the processing of images have increased, in which the objective is to improve their quality (of the image and a correct human interpretation or to facilitate the search for information in the processed image. Motivation to use, the use of new technologies to solve computational problems with high-performance computing systems that have become indispensable, when it is required to have a response in a shorter time of the result. At present, there are several systems among them, computer clusters and hybrid CPU-GPU systems that each have different characteristics and capabilities that can be applied to multiple problems. Image processing is an area that requires solving applications in a shorter time (real time), which is applicable in various areas of scientific research. The high-performance systems take advantage of all the computational processing resources using tools that measure the time of uses of the core, in which the cores are specially designed to perform matrix operations that run in parallel, this is by the number of nuclei that have the computer system. Also, you can choose the distribution of code and execution in this system many-core: the one, how, and where, the program will be executed in the many-core. [1] ADAPTEVA. The Parallella Board, User´s Guide. URL: http://www.adapteva.com/parallella-board/ [2] BERNSTEIN A. J. Analysis for programs for parallel processing. Electronic Computer, IEEE Transactions on Electronic Computers, Vol. EC-15, no. 5, pp. 757-763, Oct,1966. [3] LAMPORT L.. How to make a multiprocessor computer that correctly executes multiporcess programs. Computers, IEEE Transactions on Computers, Vol. C-28, no.9, pp. 690-691, Sept. 1979. [4] SARITA V. ADVE AND HANS-J. BOEHM. Memory Models: A Case for Rethinking Parallel Languagues and Hardware. Communications of the ACM, Vol. 53, no. 8, pp. 90–101, Aug, 2010. [5] HU WIE WU AND XIA PEISU. Out-of-order Execution in Sequentially Consistent Shared-Memory System: Theory and Experiments. Jornal of Computer. Science and Technology, Vol.13, no.2, Mar. 1998.

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Teodoro Alvarez-Sanchez, Jesus A. Alvarez-Cedillo, Adriana Nava-Vega, Erick-G Morales-Renteria Jr., and Roberto Herrera-Charles Jr., "Noise suppression in images using the Manycore architecture (Conference Presentation)," Proc. SPIE 10751, Optics and Photonics for Information Processing XII, 107510U (Presented at SPIE Optical Engineering + Applications: August 20, 2018; Published: 17 September 2018); https://doi.org/10.1117/12.2322040.5836068853001.