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pro vyhledávání: '"Apolinar Velarde Martínez"'
Autor:
Apolinar Velarde Martínez
Publikováno v:
Applied Sciences, Vol 12, Iss 15, p 7706 (2022)
For parallelization of applications with high processing times and large amounts of storage in High Performance Computing (HPC) systems, shared memory programming and distributed memory programming have been used; a parallel application is represente
Externí odkaz:
https://doaj.org/article/d8a66bef65bc483b96f2652feb967c33
Autor:
Enrique Luna-Ramírez, Christian Correa-Villalón, Apolinar Velarde-Martínez, David Hernández-Chessani
Publikováno v:
Journal of Quantitative and Statistical Analysis. :30-35
Data mining techniques allow extracting the hidden knowledge in big data sets generated in any field, particularly in the educational field. With the help of this kind of techniques and specialized tools, it is being carried out an analysis of the EX
Autor:
Apolinar Velarde Martínez
Publikováno v:
Computación y Sistemas. 26
Autor:
Edgar Aurelio Taya-Acosta, Apolinar Velarde-Martínez, Enrique Luna-Ramírez, Jorge Soria-Cruz
Publikováno v:
Revista de Computo Aplicado. :19-25
In this paper, it is realized an analysis of the data published by the Federal Government of Mexico on the cases related to the test for detecting the presence of the SARS-CoV-2 virus, that originates the COVID-19 disease. More than a million cases w
Autor:
Enrique Luna-Ramírez, Jorge Soria-Cruz, Marco A. Villalobos-Abarca, Apolinar Velarde-Martínez
Publikováno v:
Revista de Computo Aplicado. :1-5
Having information on electoral behaviors at hand is very important for the different actors involved in an electoral process, since these, the behaviors, play a relevant media role during political campaigns. In this sense, in this article, it is pr
Autor:
Apolinar Velarde Martínez
Publikováno v:
Advances in Soft Computing ISBN: 9783030898199
MICAI (2)
MICAI (2)
Shared memory programming and distributed memory programming, are the most prominent ways of parallelize applications requiring high processing times and large amounts of storage in High Performance Computing (HPC) systems; parallel applications can
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::493d70d38392facd0605cec5e59072e0
https://doi.org/10.1007/978-3-030-89820-5_24
https://doi.org/10.1007/978-3-030-89820-5_24
Autor:
Apolinar Velarde Martínez
Publikováno v:
Advances in Soft Computing ISBN: 9783030337483
MICAI
MICAI
It is well known that Parallel Task Graphs (PTG) are modeled with Directed Acyclic Graphs (DAG Tasks). DAG tasks are scheduled in Heterogeneous Distributed Computing Systems (HDCS) for execution with different techniques which seek to reduce completi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::134a58b24944811f4712c3e8b5b5d579
https://doi.org/10.1007/978-3-030-33749-0_22
https://doi.org/10.1007/978-3-030-33749-0_22
Autor:
Apolinar Velarde Martinez
Publikováno v:
Applied Sciences, Vol 10, Iss 18, p 6611 (2020)
The problem of scheduling parallel tasks graphs (PTGs) represented by directed acyclic graphs (DAGs) in heterogeneous distributed computing systems (HDCSs) is considered an nondeterministic polynomial time (NP) problem due to the diversity of charact
Externí odkaz:
https://doaj.org/article/d38f9841403a4eaca45b01e38b628633