Francisco Pereira Junior (Thesko)

Federal University of Technology - Paraná
Av. Alberto Carazzai, 1640
Cornélio Procópio, PR, Brazil 86300-000
Phone: +55 (43) 3520-4000
Fax: +55 (43) 3520-4010
Office room: K003 - Block K
Extension number: (43) 3133-3867

I am currently an Professor at the Department of Computing - Federal University of Technology - Paraná. My research interests on High Performance Processing (Cluster / Grid / Cloud / Parallel Programming - MPI / Hadoop and Applications / BigData / eScience).

Topic of interests:
      Cluster, Grid and Cloud computing
      Hadoop and Applications
      BigData
      eScience

Publications

Book Chapter:

PEREIRA, R. F.; PEREIRA JUNIOR, FRANCISCO; CARVALHO, T. C. M. B. Análise de Dados com R: uma Visão Inicial das Atividades de um Cientista de Dados. In: André Luiz Satoshi Kawamoto; Ana Grasielle Dionísio Corrêa; Valéria Farinazzo Martins. (Org.). I Jornada Latino-Americana de Atualização em Informática (JOLAI). 1ed.Porto Alegre: Sociedade Brasileira de Computação (SBC), 2018, v. 1, p. 237-262.

CORDEIRO, D. A. ; GOLDMAN, A. ; KRAEMER, A. ; PEREIRA JUNIOR, Francisco . Using the BSP Model on Clouds. In: Charlie Catlett; Wolfgang Gentzsch; Lucio Grandinetti; Gerhard R. Joubert; José Luiz Vazquez-Poletti. (Org.). Cloud Computing and Big Data. 1ed.Amsterdam: IOS Press BV, 2013, v. 23, p. 123-140.

GOLDMAN, A. ; KON, F.; PEREIRA JUNIOR, Francisco; POLATO, I.; PEREIRA, R. F. Apache Hadoop: conceitos teóricos e práticos, evolução e novas possibilidades. In: Luiz Carlos Pessoa Albini; Alberto Ferreira de Souza; Renata Galante; Roberto Marcondes Cesar Junior; Aurora Trinidad Ramirez Pozo. (Org.). XXXI Jornadas de Atualização em Informática (JAI) / XXXII Congresso da Sociedade Brasileira de Computação (CSBC). 1ed.Porto Alegre, RS: Sociedade Brasileira de Computação (SBC), 2012, v. 1, p. 88-136.

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Education (last 3 years)

Programming logic

Course: Electrical Engineering
March 2019 - Present

Computer lab

Course: Software Engineering
March 2019 - Present
March 2019 - Present March 2019 - Present

Supervision

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Projects

High Performance Computational Processing in Practical Scientific Applications.

Description: The main objective of this project is to promote the development of techniques, methodologies, models, tools and parallel applications that can solve computational scientific problems in a faster and more efficient way, thus leveraging research developed in several areas of knowledge, using parallel programming and massively available distribution at a low cost.
2015 - 2017

PAC-GPU: Parallelization of Scientific Applications in GPU

Description: The PAC-GPU project aims to promote the development of techniques, methodologies, models, tools and parallel applications that can solve scientific problems faster and more efficiently on GPUs, leveraging the research developed in diverse areas of knowledge, using massively available parallel programming at a low cost. A number of scientific problems will be the subject of research.
2012 - 2014

PAC-CLUSTERS: Parallelization of Scientific Applications in Cluster of Computers

Description: The main idea of ​​this project is to use parallel and distributed programming in computer clusters to solve problems commonly known in the different areas of knowledge that involve algorithmic complexity or large amount of data. Typically, these problems have hampered the progress of research in the respective areas due to the high time required for solution. In this sense, modeling and programming techniques will be used in conjunction with developer support tools to divide the resolution of a given time problem between several computers simultaneously, significantly reducing the time to obtain the results. This will allow, consequently, a larger number of experiments and the improvement of research quality. This project aims at the continuation of another project executed in the context of CAPES Pro-Equipment Announcement, of 2007, which acted in the solution of problems of Chemical Engineering. Now, in this present proposal, the efforts will be directed to solve problems of the Geography and consequently of the Applied Computing itself.
2009 - 2012