ResumoAs instituições de ensino superior trabalham na perspectiva de três pilares importantes para o desenvolvimento da vida acadêmica: o ensino, a pesquisa e a extensão. Esses elementos compõem conhecimentos imprescindíveis para a formação acadêmica. A extensão promove o discernimento para aplicação do produto de aprendizagem na sociedade, possibilitando assim, o processo associativo dos conhecimentos teóricos na prática. O relato versa sobre a utilização de um sistema de informação, criado especificamente para o Projeto Rondon, sistema este batizado alusivamente de JRondon, criado a partir das dificuldades operacionais encontradas nas operações do Projeto Rondon relativas à emissão de certificados dos participantes e, posteriormente à operação, às dificuldades relativas à emissão de relatórios gerenciais com os dados obtidos das participações do público alvo nesses eventos nos munícipios atendidos pelo Projeto Rondon. Conclui-se que com a utilização dessa tecnologia, os relatórios ficaram bem mais consistentes e fiéis ao dia a dia da Operação, e que futuramente, vislumbra-se a utilização do JRondon em uma plataforma web, com a plena utilização de todas as IES que participantes do Projeto Rondon e também pelo MD, possibilitando assim relatórios gerenciais de todas as IES em tempo real. Palavras-chave: Projeto rondon. Sistema JRONDON. Registro. Certificação. JRONDON SYSTEM: REGISTRATION AND ORGANIZATION OF WORKERS IN PROJECT ACTIVITIES OF OPERATIONS RONDON AbstractHigher education institutions working in the perspective of three important pillars for the development of academic life: teaching, research and extension. These elements make up skills essential for academic training. The extent promotes the insight to application of learning products in society, thus enabling the associative process of theoretical knowledge in practice. The versa report on the use of an information system designed specifically for the Rondon Project, a system allusively named JRondon, created from the operating difficulties encountered in the Rondon Project operations relating to the issuance of certificates of participants and, after the operation , the difficulties regarding the issue of management reports with the data obtained from the holdings of the target audience in these events in the municipalities served by the Rondon Project. We conclude that the use of this technology, the reports were far more consistent and faithful to the day to day operation, and future, sees the use of JRondon on a web platform, with full use of all HEIs participants Rondon Project and also the MD, thus enabling management reports from all HEIs in real time. Keywords: Rondon project. JRONDON system. Record. certification. SISTEMA JRONDON: REGISTRO Y ORGANIZACIÓN DE LOS TRABAJADORES ACTIVIDADES RONDON PROYECTO OPERACIONES.Resumen Instituciones de educación superior que trabajan en la perspectiva de tres pilares importantes para el desarrollo de la vida académica: docencia, investigación y extensión. Estos elementos constituyen habilidades esenciales ...

Abstract-The Graph Partitioning Problem (GPP) has several practical applications in many areas, such as design of VLSI (Very-large-scale integration) circuits, solution of numerical methods for simulation problems that include factorization of sparse matrix and partitioning of meshes of finite elements for parallel programming applications, between others. The GPP tends to be NP-hard and optimal solutions for solving them are infeasible when the number of vertices of the graph is very large. There has been an increased used of heuristic and metaheuristic algorithms to solve the PPG to get good results where exceptional results are not obtainable by practical means. This article proposes an efficient parallel solution to the GPP problem based on the implementation of existing heuristics in a computational cluster. The proposed solution improves the execution time and, by introducing some random features into the original heuristics, improve the quality of the created partitions. Tests are applied to the simulation of multiphase flows in porous media to oil recovery in order to create partitions to be distributed along computational nodes in a cluster.