High-Performance Computing

Repositories

• Formal Concept Analysis: https://github.com/cart-pucminas/formal-concept-analysis 

• Automatic Parallelization: https://github.com/cart-pucminas/cuda-automatic-parallelization

Publications

1. 1. MAGALHÃES, J. M . O., GONÇALVES, A. C. M., NOBRE, C. N., FREITAS, H. C., Avaliação de Desempenho e Escalabilidade do Algoritmo de Otimização de Colônia de Formigas em C++ e Python, in Simpósio em Sistemas Computacionais de Alto Desempenho (SSCAD), p. 97-108, 2024. 

   2. GONÇALVES, A. C. M., BRITO, M. E. O., FREITAS, H. C., NOBRE, C. N., Avaliação das Técnicas Gulosa e Probabilística no Desempenho do Algoritmo de Otimização de Colônia de Formigas, in Simpósio em Sistemas Computacionais de Alto Desempenho (SSCAD), p. 1-12, 2024. 

   3. SILVA, M. A. C. V; FREITAS, H. C., Proposta e Avaliação de um Cluster de Banana Pi Single Boards com NAS Parallel Benchmarks, in Workshop de Iniciação Científica em Arquitetura de Computadores e Computação de Alto Desempenho (SSCAD-WIC), p. 49-56, 2024. (undergraduate student paper)

   4. ALVES, P. O. C., GOMES, F. M., MELLO, F. P., MACEDO, C. H. P., AZEVEDO, G. P., RAMOS, P. H., SPERANDIO, R. C., SOUZA, M. A., CUNHA, F. D., Tomatinho: Uso de IoT para Aumentar a Produtividade Utilizando a Técnica Pomodoro, in Workshop de Iniciação Científica em Arquitetura de Computadores e Computação de Alto Desempenho (SSCAD-WIC), p. 89-96, 2024. (undergraduate student paper)

   5. GONÇALVES, L. F., PASCHOALINI, E. D., AGUIAR, G. D., ROUSSEFF, Y., SOUZA, M. A., RAMOS, P. H., SPERANDIO, R. C., CUNHA, F. D., Tucano: A Service Scheduler and Load Balancer in a Distributed System, in Workshop de Iniciação Científica em Arquitetura de Computadores e Computação de Alto Desempenho (SSCAD-WIC), p. 105-112, 2024. (undergraduate student paper)

   6. ALVES, A., ZARATE, L., FREITAS, H., SONG, M., Parallelism in the Generation of Concepts Through the Formal Context Object Partitioning Using the In-Close 4 Algorithm. In: 25th International Conference on Enterprise Information Systems (ICEIS), Prague, V. 2, p. 195-202, 2023.

   7. NOVAIS, J. P. P.; MACIEL, L. A.; SOUZA, M. A.; SONG, M. A.; FREITAS, H. C., An open computing language‐based parallel Brute Force algorithm for formal concept analysis on heterogeneous architectures, CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, e6220, v. 33, p. e6220, 2021.

   8. SOARES, F. A. L.; SILVEIRA, T. B.; MARQUES-NETO, H. T.; FREITAS, H. C., Paralelização Automática de Código em CUDA Utilizando Aprendizagem por Reforço. In: Workshop em Desempenho de Sistemas Computacionais e de Comunicação (WPerformance), online, p. 137-142, 2021.

   9. SILVEIRA, T. B.; SOARES, F. A. L.; FREITAS, H. C., Fast and Efficient Parallel Execution of SARIMA Prediction Model. Lecture Notes in Business Information Processing. n.aed. Cham: Springer International Publishing, v. 417, p. 217-241, 2021.

   10. SOARES, F.; SILVEIRA, T.; FREITAS, H., Hybrid Approach based on SARIMA and Artificial Neural Networks for Knowledge Discovery Applied to Crime Rates Prediction. In: 22nd International Conference on Enterprise Information Systems, 2020, Prague. Proceedings of the 22nd International Conference on Enterprise Information Systems. v. 1. p. 407-415, 2020.

   11. SILVEIRA, T. B. ; DUQUE, E. M. ; GUIMARÃES, S. J. F. ; MARQUES NETO, H. T. ; FREITAS, H. C. . Proposal of Fibonacci Heap in the Dijkstra Algorithm for Low-power Ad-hoc Mobile Transmissions. IEEE Latin America Transactions, v. 18, p. 623-630, 2020.

   12. SILVA, VINICIUS O ; MARTINS, CARLOS A P S ; EKEL, PETR Y . An Efficient Parallel Implementation of an Optimized Simplex Method in GPU-CUDA. IEEE Latin America Transactions, v. 16, p. 564-573, 2018.

   13. SILVA, ALISSON R. ; GOUVÊA, MAURY M. ; GÓES, LUÍS F.W. ; MARTINS, CARLOS A.P.S. . A parallel implementation of a cloud dynamics model with cellular automaton. MATHEMATICS AND COMPUTERS IN SIMULATION, v. 154, p. 65-93, 2018.

   14. CARNEIRO, CÁSSIO A. ; GARCIA, FRANCISCO P. ; FREITAS, HENRIQUE C. ; MARTINS, CARLOS P. S. ; FERREIRA, FLÁVIA M. F. . Scalable spatio-temporal parallel parameterizable stream-based JPEG-LS encoder. IEICE Electronics Express, v. 14, p. 1-6, January 2017.

   15. MORAES, N. R. M. ; DIAS, S. M. ; FREITAS, H. C. ; ZÁRATE, L. E. . Parallelization of the next Closure algorithm for generating the minimum set of implication rules. Artificial Intelligence Research, v. 5, p. 40-54, 2016.

   16. FRANCESQUINI, E. ; CASTRO, M. ; PENNA, P. H. M. M. ; DUPROS, F. ; FREITAS, H. C. ; NAVAUX, P. O. A. ; MEHAUT, J-F. On the energy efficiency and performance of irregular application executions on multicore, NUMA and manycore platforms. Journal of Parallel and Distributed Computing, vol.76, p.32-48, February 2015.

   17. RIBEIRO, C. P. ; CASTRO, M. ; MARANGOZOVA-MARTIN, V. ; MEHAUT, J-F ; FREITAS, H. C. ; MARTINS, C. A. P. S. . Evaluating CPU and Memory Affinity for Numerical Scientific Multithreaded Benchmarks on Multi-cores. IADIS International Journal on Computer Science and Information Systems, v. 7, p. 79-93, 2012.

   18. RIBEIRO, C. P. ; CASTRO, M. ; MARANGOZOVA-MARTIN, V. ; MEHAUT, J-F ; FREITAS, H. C. ; MARTINS, C. A. P. S. . Investigating the Impact of CPU and Memory Affinity on Multi-core Platforms: A Case Study of Numerical Scientific Multithreaded Benchmarks. In: IADIS Applied Computing, 2011, Rio de Janeiro, p. 299-306, 2011. (Best Paper Award)

   19. FERREIRA, M. K. ; CRUZ, V. S. ; KASSICK, R. V. ; FREITAS, H. C. ; NAVAUX, P. O. A. . Static Process Mapping Heuristics for MPI Parallel Processes in Homogeneous Multi-core Clusters. In: Latin American Conference on High Performance Computing (CLCAR), Colima. p. 1-8. 2011. (Best Paper Award)

   20. MORAES, N. R. M.; ZÁRATE, L. E. ; FREITAS, H. C., A Distributed Algorithm for Formal Concepts Processing Based on Search Subspaces, International Conference on Enterprise Information Systems, Funchal, p. 105-111, 2010.