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Performance analysis of parallel programs using prober as a single aid tool 14

Performance analysis of parallel programs using prober as a ...

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14th Symposium on Computer Architecture and High Performance Computing

作者： Góes, LFW Ramos, LES Martins, CAPS Informatics Institute Post-Graduation Program in Electrical Engineering Pontifical Catholic University of Minas Gerais Brazil

ISBN: (纸本)0769517722

Prober is a functional and performance analysis tool for parallel programs, developed during an undergraduate research project. In this paper we show the new expanded version of Prober, in which some features from different software tools are aggregated. It can be used as a single tool to aid the developer in the performance analysis of parallel programs. Our main goal is to provide a new version of Prober, with additional features. Among them we can highlight: the interpretation of user scripts, a user-level support library the generation of speedup and efficiency graphics, batch execution and a new user interface. In order to show, verify and analyze the use of the new version of Prober, we did performance tests in a parallel image convolution program. We added performance measuring routines to collect performance data within different internal code segments;built a set of scripts to specify the performance tests;ran the set of scripts in batch mode;used Prober to generate graphics and statistics based on the collected performance data;and analyzed the results rising Prober as an aid tool.

关键词： Convolution Graphics Image analysis Image segmentation Performance analysis Radio access networks Software libraries Software tools Testing User interfaces

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Performance Evaluation of Apache Hadoop Benchmarks under a Dynamic Checkpointing Mechanism 37

Performance Evaluation of Apache Hadoop Benchmarks under a D...

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37th International Conference of the Chilean Computer Science Society, SCCC 2018

作者： Cardoso, Paulo Vinicius Pitthan Barcelos, Patricia Post Graduation Program in Informatics Federal University of Santa Maria Santa Maria RS Brazil Computing Systems Laboratory Federal University of Santa Maria Santa Maria RS Brazil

ISBN: (纸本)9781538692332

The increasingly robust High Performance Computing (HPC) systems have promoted many researches on fault tolerance mechanisms. However, the efficiency of these techniques is an important challenge, as the data and resources demand is also getting higher. in this work, we presents how the framework Apache Hadoop implements the Checkpoint and Recovery technique for fault tolerance providing on its distributed file system (Hadoop Distributed File System). The demand of large amounts of data from all applications supported by Hadoop framework can compromise the mechanism efficiency, once its configurations attributes are defined statically. So we present a dynamic configuration mechanism to checkpoint for Apache Hadoop through a resource monitoring, whose goal is to make the Hadoop checkpoint adaptable. The proposed mechanism is then evaluated and submitted to performance tests. © 2018 IEEE.

关键词： Efficiency

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Turing Project: An Open Educational Game to Teach and Learn programming Logic 15

Turing Project: An Open Educational Game to Teach and Learn ...

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15th Iberian Conference on Information Systems and Technologies, CISTI 2020

作者： Silva, Josivan P. Silveira, Ismar F. Kamimura, Leonardo Barboza, Alcides T. Post-graduation Program on Electrical Eng. And Computing Mackenzie Presbyterian University São Paulo Brazil Cruzeiro Do sul University São Paulo Department of Informatics Brazil

ISBN: (纸本)9789895465903

The paper proposes an open educational game, for students who have never had contact or who present some difficulty in programming logic. The game, in a playful and fun way, tries to teach the basics of programming logic for the students, allowing the same to acquire knowledge during the gameplay. The game proposed in this paper is called 'Turing Project', a RPG game, in which the student will play the role of the game's hero. By collecting scrolls, items and performing missions, students are expected to learn the concepts related to the logic of programming. A subjective experiment was carried out via a survey with 19 users and the main conclusions points out that students had good experiences during the game, which had positive impact in their learning. © 2020 AISTI.

关键词： Students

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Porantim-opt: Optimizing the combined selection of model-based testing techniques

Porantim-opt: Optimizing the combined selection of model-bas...

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Workshop on Requirements and Validation, Verification, and Testing

作者： Neto, Arilo Claudio Dias De Freitas Rodrigues, Rosiane Travassos, Guilherme Horta Post-graduation Program In Informatics Computer Science Department Federal University of Amazonas Manaus AM Brazil Systems Engineering and Computer Science Program COPPE Federal University of Rio De Janeiro Rio De Janeiro RJ Brazil

ISBN: (纸本)9780769543451

The combination of testing techniques is considered an effective strategy to evaluate a software product. However, the selection of which techniques to combine in a software project has been an interesting challenge in the Software Engineering field. This paper presents a proposal extending an approach developed to support the combined selection of model-based testing (MBT) techniques, named Porantim, applying Multiobjective Combinatorial Optimization strategy by determining the smallest dominating set in a bipartite and weighted graph. Thus, a local search strategy algorithm is proposed generating solutions aiming at maximizing the coverage of software project characteristics and skills required by the testing team to use the techniques and minimizing the eventual effort to construct models used for test cases generation. A preliminary evaluation analyzes this new approach when compared to the Porantim's original version, and the results indicate improvements in the MBT techniques selection. © 2011 IEEE.

关键词： Software testing

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An approach based on genetic algorithm for solving 2D cutting problem with items of irregular shapes 15

An approach based on genetic algorithm for solving 2D cuttin...

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7th ACM International Conference on Management of Computational and Collective IntElligence in Digital EcoSystems, MEDES 2015

作者： Gava, Marisa Carla Voigt Rosario, Cristian Derik Paulino Filho, Antonio Gregorio De Araújo, Sidnei Alves Industrial Engineering Post-Graduation Program Av. Francisco Matarazzo 612 Água Branca São Paulo SP05001-100 Brazil Departament of Informatics Computer Science Undergraduation Course Rua Vergueiro 235/249 Liberdade São Paulo SP01504-001 Brazil Informatics and Knowledge Management Post-Graduation Program Av. Francisco Matarazzo 612 Água Branca São Paulo SP05001-100 Brazil

ISBN: (纸本)9781450334808

In this paper we proposed an approach based on genetic algorithm (GA) and digital image processing (DIP) to deal with the problem of cutting identical items (pieces) with irregular shapes in metal plates (objects). The goal is to maximize the number of items to be cut in the available area of the object. In this approach both object and the items are depicted as color images. The GA is responsible for generating the solutions, each one represented by a vector containing a set of translations and angles that indicate the positions and orientations for cutting the pieces. The evaluation of each solution generated by GA is performed by an image analysis algorithm that basically detects overlapping among the items placed on the object. Preliminary experiments indicate that the use of GA combined with DIP is a good alternative for solving the investigated problem. © 2015 ACM.

关键词： Genetic algorithms

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CVO: Curriculum Vitae Optimization by Recommending Keywords to Undergraduate Students 11th

CVO: Curriculum Vitae Optimization by Recommending Keywords...

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11th and 12th EAI International Conference on Big Data Technologies and Applications, BDTA 2021 and BDTA 2022

作者： Santos, Cibele Góes, Fabrício Martins, Carlos da Cunha, Felipe Post-Graduation Program in Electrical Engineering Pontifícia Universidade Católica de Minas Gerais MG Belo Horizonte30535-901 Brazil Informatics Department University of Leicester Leicester United Kingdom Post-Graduation Program in Informatics Pontifícia Universidade Católica de Minas Gerais MG Belo Horizonte30535-901 Brazil Department of Computer Science Pontifícia Universidade Católica de Minas Gerais MG Belo Horizonte30535-901 Brazil

ISBN: (纸本)9783031336133

Candidate selection platforms have been widely used in companies that seek agility in the process of hiring. Candidates who do not meet the requirements of a job vacancy are disqualified in the first step, called screening. This stage has been automated due to the large volume of curriculum vitae (CV) of candidates per vacancy, particularly for internship vacancies. As a consequence, candidates receive little to none feedback and do not know how to improve/optimize their CVs for new applications. The goal of this paper is to realize the curriculum vitae optimization (CVO) process for internship vacancies by implementing a recommendation system that given an undergraduate student CV, it suggests the addition of relevant keywords, taking into account the student’s undergraduate course. This system is implemented based on the clustering of CVs keywords, from an internship recruitment private company database, into profile groups which are linked to internship vacancies. The experimental results showed that recommendations improved students CVs similarity (competitiveness within a specific field) from 18.83%, with 3 keywords recommendation, up to 50.67%, with 10 words. © 2023, ICST Institute for Computer Sciences, Social informatics and Telecommunications Engineering.

关键词： Students

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Computational Simulation of High-concentration Erbium Media for Lasers Development

Computational Simulation of High-concentration Erbium Media ...

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The 2013 2nd International Symposium on Manufacturing Systems Engineering(ISMSE 2013)

作者： Nélito Bernardes Pereira Junior André Felipe Henriques Librantz Wonder Alexandre Luz Alves Alessandro Melo Deana Industrial Engineering Post Graduation Program Nove de Julho University (UNINOVE) Department of Informatics Nove de Julho University Biophotonics Post Graduation Program Nove de Julho University (UNINOVE)

Different laser designs may require high-concentration erbium lasersThe laser efficiency can be measured by the small signal gain(SSG) of the laser mediaIn this paper an investigation of the SSG for a Er:YLF with 40 mol % of erbium concentration were carried out by means of computational simulation considering several pumping rates and different pulse durationResults showed that the maximum SSG values for 40% Er concentration are reached for lower pulse durations and high pumping ratesIn addition, results suggest that the performance of such lasers can be significantly enhanced by the adjustment of pulse duration and the interval between two consecutive pulses.

关键词： Erbium Er YLF laser HIGH-concentration erbium-doped Computational simulation

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Hybrid neural systems for large scale credit risk assessment applications

Hybrid neural systems for large scale credit risk assessment...

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作者： De Amorim, B.P. Vasconcelos, G.C. Brasil, L.M. Center for Informatics - CIn Federal University of Pernambuco UFPE Recife PE Brazil Post-Graduation Program in Knowledge Management and Information Technology Catholic University of Brasilia UCB Brasília DF Brazil

Hybrid Neural Systems that integrate symbolic algorithms or fuzzysystems to Artificial Neural Networks (ANN) are a potential alternativeto the more traditional ANN models. However, in contrast with the ANNmodels, these systems have not been yet fully explored from a practicalviewpoint to show their effectiveness in large scale applications. Thispaper presents an extensive comparative analysis of the neuro-fuzzymodels FWD (Feature-Weighted Detector) and FuNN (Fuzzy Neural Network),together with their rule extraction techniques in a large-scale *** aspects are considered: generalization performance of the models,and the interpretation and explanation qualities of the extractedknowledge. The experiments are conducted in the context of a large scalecredit risk assessment application in a real-world operation of aBrazilian financial institution. The results attained are compared tothose observed with multi-layer perceptron networks. © 2007 - IOS Press and the authors. All rights reserved.

关键词： Neural networks

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Performance analysis of parallel programs using Prober as a single aid tool

Performance analysis of parallel programs using Prober as a ...

引用

International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD)

作者： L.F.W. Goes L.E.S. Ramos C.A.P.S. Martins Informatics Institute Post-Graduation Program in Electrical Engineering Pontifical Catholic University of Minas Gerais Brazil

Prober is a functional and performance analysis tool for parallel programs, developed during an undergraduate research project. In this paper we show the new expanded version of Prober, in which some features from different software tools are aggregated. It can be used as a single tool to aid the developer in the performance analysis of parallel programs. Our main goal is to provide a new version of Prober, with additional features. Among them we can highlight: the interpretation of user scripts, a user-level support library, the generation of speedup and efficiency graphics, batch execution and a new user interface. In order to show, verify and analyze the use of the new version of Prober, we did performance tests in a parallel image convolution program. We added performance measuring routines to collect performance data within different internal code segments; built a set of scripts to specify the performance tests; ran the set of scripts in batch mode; used Prober to generate graphics and statistics based on the collected performance data; and analyzed the results using Prober as an aid tool.

关键词： Performance analysis Graphics Testing Software tools Software libraries User interfaces Image analysis Convolution Image segmentation Radio access networks

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Towards a context-based representation of the dynamicity perspective in knowledge-intensive processes

Towards a context-based representation of the dynamicity per...

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International Conference on Computer Supported Cooperative Work in Design

作者： Daya Lages Rodrigues Flávia Maria Santoro Fernanda Araujo Baiao Joanne Manhães Netto Post-graduation Program in Informatics Brazil Federal Service of Data Processing (SERPRO) Rio de Janeiro Brazil

A Knowledge-intensive process (KIP) is characterized as a bag of activities based on knowledge intensive acquisition and manipulation. A KIP differentiates from traditional business processes mainly because of the dynamism or the variability of event flows among the process instances. Thus, traditional business process modeling notations do not adequately represent the broad spectrum of flows that occur in each KIP instance, making them even more challenging to be understood or managed. Some approaches to represent a KIP were defined in the literature, but representing the KIP variability in a cognitively efficient way is still an open issue. This paper presents the graphical notation KIPN-C, which proposes diagrams to represent variability of a KIP relating it to the context of its instances.

关键词： Business

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