Hello, I am a Brazilian professor who works in the Computer Science Department at Universidade Federal de Lavras (DCC/UFLA) – Brazil. My interest in computing lies at the intersection of large-scale systems, big-data, graph processing, and graph learning. Here you will find more details about my academic background, teaching experience, as well as a list of publications. Feel free to contact me!

Education

I have a PhD (2023) and a MSc (2016) in Computer Science from Universidade Federal de Minas Gerais (DCC/UFMG), advised by prof. Dorgival Guedes. Before that, I received my undergraduate degree (2013) in Computer Science from Universidade Federal de Uberlândia (FACOM/UFU), advised by prof. Sandra de Amo.

Contact and other links

✉️ mail

🎓 gscholar 🎓 lattes-cv-pt-br 🎓 orcid

📄 cv-en 📄 linkedin

💻 github

Projects

2024-: [FAPEMIG] Massive Graph Processing

This project aims to understand the performance challenges in large-scale graph processing, proposing new strategies and abstractions for massive processing systems. We will focus on pattern mining algorithms, machine learning, and artificial intelligence applied to graphs, with an emphasis on parallel and distributed environments. The research seeks to simplify the user experience with high-performance graph algorithms.

Publications

2024

Samuel Ferraz, Vinícius Dias, Carlos H. C. Teixeira, Srinivasan Parthasarathy, George Teodoro, Wagner Meira Jr. (2024). DuMato: An eﬃcient warp-centric subgraph enumeration system for GPU. Journal of Parallel and Distributed Computing (JPDC'24). PDF DOI code

2024

Nestor D. O. Volpini, Vinicius Dias, Dorgival Guedes. Uma Análise Multicamadas do Consumo de Energia em Cargas Big Data. XXV Simpósio em Sistemas Computacionais de Alto Desempenho (SSCAD'24). PDF DOI

2023

[best paper nomination] Vinicius Dias, Samuel Ferraz, Aditya Vadlamani, Mahdi Erfanian, Carlos H. C. Teixeira, Dorgival Guedes, Wagner Meira Jr., Srinivasan Parthasarathy (2023). Graph Pattern Mining Paradigms: Consolidation and Renewed Bearing. 2023 IEEE 30th International Conference on High Performance Computing, Data, and Analytics (HiPC'23). PDF DOI code

2022

Samuel Ferraz, Vinícius Dias, Carlos H. C. Teixeira, George Teodoro, Wagner Meira Jr. (2022). Efficient Strategies for Graph Pattern Mining Algorithms on GPUs. 2022 IEEE 34th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD'22). PDF DOI code

2019

Vinicius Dias, Carlos H. C. Teixeira, Dorgival Guedes, Wagner Meira Jr., Srinivasan Parthasarathy (2019). Fractal: A General-Purpose Graph Pattern Mining System. Proceedings of the 2019 International Conference on Management of Data (SIGMOD'19). PDF DOI code

2018

Vinicius Dias, Wagner Meira, Dorgival Guedes (2018). Janus: Diagnostics and reconfiguration of data parallel programs. Journal of Parallel and Distributed Computing. PDF DOI code

2017

Eslam Hussein, Abdurrahman Ghanem, Vinicius Dias, Carlos H.C. Teixeira, Ghadeer AbuOda, Marco Serafini, Georgos Siganos, Gianmarco De Francisci Morales, Ashraf Aboulnaga, Mohammed Zaki (2017). Graph Data Mining with Arabesque. Proceedings of the 2017 ACM International Conference on Management of Data (SIGMOD'17). PDF DOI code

2016

Vinicius Dias, Rubens Moreira, Wagner Meira Jr., Dorgival Guedes (2016). Diagnosing Performance Bottlenecks in Massive Data Parallel Programs. 2016 16th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid'16). PDF DOI code

2016

Vinicius Dias, Wagner Meira, Dorgival Guedes (2016). Dynamic Reconfiguration of Data Parallel Programs. 2016 28th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD'16). PDF DOI code

2016

P. H. B. Las-Casas, V. S. Dias, W. Meira, D. Guedes (2016). A Big Data Architecture for Security Data and Its Application to Phishing Characterization. 2016 IEEE 2nd International Conference on Big Data Security on Cloud (BigDataSecurity'16). PDF DOI

2016

Marcos Roberto Ribeiro, Fabíola Souza F. Pereira, Vinícius Vitor S. Dias (2016). Efficient Algorithms for Processing Preference Queries. Proceedings of the 31st Annual ACM Symposium on Applied Computing. PDF DOI

2016

Rodrigo Rocha, Bruno Hott, Vinícius Dias, Renato Ferreira, Wagner Meira, Dorgival Guedes (2016). Watershed-ng: an extensible distributed stream processing framework. Concurrency and Computation: Practice and Experience. PDF DOI

2014

Pedro H. B. Las-Casas, Vinicius Dias, Renato Ferreira, Wagner Meira Jr., Dorgival Guedes (2014). A Hadoop Extension to Process Mail Folders and its Application to a Spam Dataset. 2014 International Symposium on Computer Architecture and High Performance Computing Workshop. PDF DOI