Please use this identifier to cite or link to this item: http://monografias.ufrn.br/handle/123456789/10995
Title: Pascal Viewer - Graphic Representation of the efficiency Variation of a parallel application analyzed by time markers
Authors: Cunha, Daniel Augusto Moura Cunha
Keywords: Parallel programming;Web systems;Django;SPERF
Issue Date: 20-Dec-2018
Publisher: Universidade Federal do Rio Grande do Norte
Citation: CUNHA, Daniel Augusto Moura. Pascal Viewer - Graphic Representation of the efficiency Variation of a parallel application analyzed by time markers. 2018. 36f. Trabalho de Conclusão de Curso ( Graduação em Engenharia da Computação) - Centro de Tecnologia, Universidade Federal do Rio Grande do Norte, 2018.
Portuguese Abstract: This work objective is to develop an automated graphing system that receives a formatted JSON output. Through the data collected from the executions of a parallel program with different problem sizes and cores of different processors and calculations realized by the system it is possible to analyze the performance of the program in a faster and clear form. It is intended that users can more quickly analyze the performance of their programs without worrying about manually processing the information. PaScal Viewer, is the beggining of a long trajectory to delivery relevant information to researchers perform as efficient a research as their programs and there is still much to be explored and implemented. This work, guided by Professor Samuel Xavier and co-led by Master Anderson Braulio, has already yielded a publication in The International Conference for High Performance Computing, Networking, Storage, and Analysis, or simply SC, in 2018. And at this conference presentations, tutorials, panels, and discussion forums have included breakthroughs in many areas and inspired new and innovative areas of computing through the years.
Abstract: This work objective is to develop an automated graphing system that receives a formatted JSON output. Through the data collected from the executions of a parallel program with different problem sizes and cores of different processors and calculations realized by the system it is possible to analyze the performance of the program in a faster and clear form. It is intended that users can more quickly analyze the performance of their programs without worrying about manually processing the information. PaScal Viewer, is the beggining of a long trajectory to delivery relevant information to researchers perform as efficient a research as their programs and there is still much to be explored and implemented. This work, guided by Professor Samuel Xavier and co-led by Master Anderson Braulio, has already yielded a publication in The International Conference for High Performance Computing, Networking, Storage, and Analysis, or simply SC, in 2018. And at this conference presentations, tutorials, panels, and discussion forums have included breakthroughs in many areas and inspired new and innovative areas of computing through the years.
URI: http://monografias.ufrn.br/handle/123456789/10995
Other Identifiers: 2016008175
Appears in Collections:Engenharia de Computação

Files in This Item:
File Description SizeFormat 
TCC_Daniel (5) (1).pdf1,66 MBAdobe PDFThumbnail
View/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.