High-Performance Computing and Cloud Computing
High-Performance Computing and Cloud Computing is a dynamic and essential field in computer science, focused on the development and application of advanced computing systems capable of processing large amounts of data at extremely high speeds.
The area of High-Performance Computing (HPC) and Cloud Computing is a dynamic and essential field in computer science, focused on the development and application of advanced computing systems capable of processing large amounts of data at extremely high speeds. High-Performance Computing involves the use of supercomputers and parallel processing systems to solve complex and processing-intensive problems. Meanwhile, Cloud Computing refers to the use of computing resources (such as servers, storage, databases, networks, software) over the internet, offering scalability, flexibility, and cost efficiency.
About the Area Coordinator
Prof. Daniel Sundfeld Lima
More About the Coordinator
Research Team
Undergraduate Research
Maurício Ferreira de Araújo
Accelerating PIC with GPU
Undergraduate Research•2025
Advisor(s)
Bachelor’s Thesis
Mateus Cunha Maia
CPU Parallelization Strategies for the Optimization of Biological Sequence Comparison Algorithms
Bachelor of Software Engineering - University of Brasília (Brazil)•2025
Advisor(s)Leonardo Gonçalves Machado
Parallel Optimal Solutions for Sliding Puzzle and Rubik's Cube
Bachelor of Software Engineering - University of Brasília (Brazil)•2025
Advisor(s)Victorio Lázaro Rocha de Morais
Pipeline for the Analysis of Brazilian Biomolecules with an Architecture Based on Microservices and GPUs
Bachelor of Software Engineering - University of Brasília (Brazil)•2025
Advisor(s)
Previous Researchers
Undergraduate Research
Caio Gomes Flausino
Web Systems Applied to Bioinformatics
Undergraduate Research•2021
Advisor(s)Rodrigo Rocha Gomes
Web Systems Applied to Bioinformatics
Undergraduate Research•2019
Advisor(s)
Bachelor’s Thesis
- 2022
Lucas Ganda Carvalho, Wictor Bastos Girardi
Prediction of Code Execution Time in Lambda Functions
Senior Project (Technology in Internet Systems) - Federal Institute of Brasília (Brazil)
Advisor(s) - 2020
Rodrigo Rocha Gomes
CUDA-Sankoff-Web: a web tool for structural secondary alignment calculation
Senior Project (Technology in Internet Systems) - Federal Institute of Brasília (Brazil)
Advisor(s) - 2020
Eneias Paulo de Oliveira
PA-Star-Web: a cloud architecture for obtaining optimal multiple alignment of biological sequences
Senior Project (Technology in Internet Systems) - Federal Institute of Brasília (Brazil)
Advisor(s)
Current Projects
- Laguna Project - This project aims to extend the massive processing of a data lake using a cloud architecture, utilizing Amazon Web Services (AWS) as the provider.
Publications and Productions
Publications (13)
- 2025
CANTO, FABIO LORENSI DO, CARVALHO SEGUNDO, WASHINGTON LUÍS RIBEIRO DE, PINTO, ADILSON LUIZ, SUNDFELD, Daniel
Attraction network among Brazilian Health Sciences journals
BIBLIOS (LIMA), e005 (1-13)
- 2025
Sundfeld, Daniel, TEODORO, GEORGE, Melo, Alba C. M. A.
PA-Star2: Fast Optimal Multiple Sequence Alignment for Asymmetric Multicore Processors
2025 33rd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP), p146 • Turin
- 2025
ARAÚJO, MAURÍCIO FERREIRA DE, HABL, LUI, Sundfeld, Daniel
Multithread application for accelerating the Particle-in-Cell (PIC) method
Brasil
- 2024
PAULINO, GABRIEL R. SCHEIDT, ARAÚJO, RAFAEL CARVALHO J., ROCHA, JOHAN M. G. DA, LIMA, Daniel Sundfeld
Nimbus: a serverless cloud architecture for automatic code grading
Brasil
- 2024
NEUBERT, PATRICIA DA SILVA, CANTO, FÁBIOLORENSI DO, PINTO, ADILSON LUIZ, LIMA, Daniel Sundfeld, SILVA, FLÁVIO ROBERTO CRUZ
OpenAlex como fonte de dados para sistemas nacionais de informação científica: a experiência do projeto Laguna
VII Workshop de Informação, Dados e Tecnologia WIDaT
- 2024
CARVALHO SEGUNDO, WASHINGTON LUÍS RIBEIRO DE, CANTO, FABIO LORENSI DO, PINTO, ADILSON LUIZ, SUNDFELD, Daniel Lima
Atração entre periódicos brasileiros de medicina análise a partir de dados de citação do OpenAlex
9º Encontro Brasileiro de Bibliometria e Cientometria EBBC
- 2022
Lucas Ganda Carvalho, Wictor Bastos Girardi
Prediction of Code Execution Time in Lambda Functions
Senior Project (Technology in Internet Systems) - Federal Institute of Brasília (Brazil)
Advisor(s) - 2023
FLAUSINO, CAIO GOMES, QUEIROZ, DIEGO CÉSAR FLORÊNCIO DE, Sundfeld, Daniel
LLC: Low Level Contêiner no Linux
Brasil
- 2022
DE OLIVEIRA, ENÉIAS PAULO, Sundfeld, Daniel
PA-Star-Web: web server para obtenção do alinhamento múltiplo ótimo de sequências biológicas
Brasil
- 2021
GOMES, RODRIGO ROCHA, Sundfeld, Daniel
CUDA-Sankoff-Web: Uma ferramenta web para cálculo do alinhamento secundário estrutural ótimo
Escola Regional de Alto Desempenho de São Paulo, p25-28
- 2020
Sundfeld, Daniel, TEODORO, GEORGE, HAVGAARD, JAKOB H., GORODKIN, JAN, Melo, Alba C. M. A.
Using GPU to accelerate the pairwise structural RNA alignment with base pair probabilities
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 32 (e5468)
- 2020
Rodrigo Rocha Gomes
CUDA-Sankoff-Web: a web tool for structural secondary alignment calculation
Senior Project (Technology in Internet Systems) - Federal Institute of Brasília (Brazil)
Advisor(s) - 2020
Eneias Paulo de Oliveira
PA-Star-Web: a cloud architecture for obtaining optimal multiple alignment of biological sequences
Senior Project (Technology in Internet Systems) - Federal Institute of Brasília (Brazil)
Advisor(s)
Contact & Collaboration
- Email for information and contact with the team: daniel.sundfeld@unb.br