# Research guidance

• Lucas Barros de Assis (Master, TBD)
• Alisson dos Passos Fumaco (Master, TBD)
• Rayan Raddatz de Matos (Undergraduate, TBD)
• Otho José Sirtoli Marcondes (Master, TBD)
• Bruna Borges da Rocha (Master, TBD)
• Pedro Colle (Master, TBD)
• Enrico Dal Pizzol (Master, TBD)
• Vinícius Daniel Spadotto (Undergraduate, Hiding MPI Communication Cost)
• Christian Asch (Master, CharmVZ - Trace Visualization, with Esteban Meneses)
• Bruno Zimmermann (Undergraduate, Lock-free data structures in Rust)
• Catarina Correa Pereira da Silva (Undergraduate, HPC observability, with Laura Soares)
• Arthur Alves Ferreira Melo (Undergraduate, Computer Systems Simulation)
• Afonso Ferrer (Undergraduate, Krigging)

# Looking for an advisor?

My main topics are in the Research tab. If you’re interested, or if you would like to propose something for which you think I am capable to give advice, send me a message or pass by my office. I am current an advisor in master level in the Graduate Program in Computer Science (PPGC) but actively looking for good PhD students.

# Past Students

## 2025

• Bruno Mota de Almeida (Data Science Spec., Hashing Techniques for Optimizing Data Ingestion)

## 2024

• Lucas Nesi (Post-Doc, mCSEM inversion codes in multi-node multi-GPU platforms)
• Lucas Pons (Undergraduation thesis, Rebuilding road maps from GPS tracks)
• Marcelo Daronco Ribas (Scientific Initiation, Parallel Experiments in the Cluster)
• João Pedro Jensen Ourique (Undergraduation thesis, Data Science Frameworks Comparison)

## 2023

• Rodrigo Henriques Medeiros (Data Science Spec., Coupling Deep Learning and Data Lake)
• Geison Souza de Salles (Data Science Spec., PyTorch and Tensorflow comparison)
• Lucas Leandro Nesi (PhD)
  • Strategies for distributing task-based applications on heterogeneous platforms
• Bruno da Silva Alves (Master)
  • Performance Analysis of Adaptive Mesh Refinement)
• José Braz (Undergraduation Final Work)
  • AQ-FA: a method for calculating the burned area from the detection of fire outbreaks in Brazil using data from multiple satellites
• Cesar Rolli (Scientific Initiation)
  • C Programming and Application Tracing

## 2022

• Jessica Imlau Dagostini (Master)
  • Load Balancing Het. tasks on Het. resources)
• Henrique Corrêa Pereira da Silva (Scientific Initiation)
  • Parallel Programming and Performance Analysis
  • Refactoring through Software Engineering Data Inversion Parallel Codes

## 2021

• Ana Luisa Veroneze Solórzano (Master)
  • A Practical Evaluation of Parallel and Distributed Deep Learning Frameworks
• Lucas Barros de Assis (Undergraduation Final Work)
  • Seismic waves modelling through task-based programming (Taskify Ondes3D)
• Daniel Kelling Brum (Undergraduation Final Work)
  • PanScript: a free platform for teaching programming in many human languages and https://panscript.github.io/
• Vinicius Garcia Pinto (Post-doc)
  • Vizualization Techniques for Task-based Scheduling
  • Performance Analysis of Data Inversion Parallel Codes
• Marcelo Cogo Miletto (Master)
  • Combining prediction models and visualization techniques for enhanced performance analysis of irregular task-based applications

## 2020

• Luis F. G. Millani (PhD) – as co-advisor, with Jean-François Méhaut
  • Autotuning with machine learning of OpenMP task applications
• Guilherme Alles (Master)
  • Phenological analysis strategies with realistic color mapping and variability control based on digital images

## 2019

• Lucas Leandro Nesi (Master)
  • Task-based Application Performance Analysis on Hybrid Clusters
• Fernando Correa Gomes (Scientific Initiation)
  • Parallel Task-based Programming combined with Performance Analysis

## 2018

• Vinicius Garcia Pinto (PhD) – unofficial co-advisor, with N. Maillard and A. Legrand
  • Performance analysis strategies for task based applications on hybrid platforms
• Rafael Keller Tesser (PhD) – unofficial co-advisor, with P. Navaux and A. Legrand
  • A simulation workflow to evaluate the performance of dynamic load balancing with over decomposition for iterative parallel applications
• Gabriel Bronzatti Moro (Master)
  • Exploiting the Computing Characteristics of OpenMP Parallel Regions to Reduce Energy Consumption)

## 2017

• Alef Farah (Scientific Initiation, HPCELO Project)
  • Fundamentals of tracing and intrusion characterization
• Arthur Mittmann Krause (Scientific Initiation)
  • Application performance as a function of compiler versions

## 2016

• Jean Luca Bez (I/O forwarding) – master, as unofficial co-advisor, with Philippe O. A. Navaux
• Guilherme Antonio Camelo (TCC, Perf. Analysis of CFD/Alya, HPCELO Project) – Final report
• Bruno Cattelan, João Paulo Ruschel, Guilherme Alles, Mateus Riad, Matheus Serpa (HPCELO)
• Flavio A. Rodrigues (performance analysis, load balancing metrics evaluation – Final report
• Jonas H. M. Korndorfer (Master, parallel Paje simulator) – Final report
• Ludovic Boulay (from Ensimag, parallel cryptography, advising shared with Raul Weber)
• Lucas H. Jones – Final report – (TCC, flipped classroom experiments)
• Lucas Nodari (compiler course monitor)
• Ricardo Antonio Cervo – Final report – (TCC, automatic bus maps for Porto Alegre)
• Tais Bellini – Final report – (TCC, Paje simulator in Java, trace database)

## 2015

• Luis F. G. Millani (Master, DoE Methodology/Energy) – Final report – with Nicolas Maillard
• Jessica Reinaldo (compiler course monitor)
• Rafael Menezes Nunes (Specialization, freesurfer cluster distribution) - Soft. Eng. Spec.
• Roger A. Leite (Master, phenology visualization) – Final report – co-advisor, with João Comba
• Thiago Monaco Papageorgiou (Specialization, web server perf. analysis) - Soft. Eng. Spec.
• Tiago Covolan Bozzetti (paraver/simgrid integration), unfinished
• Vinicius Herbstrith (IC, binary trace file format, parallel applications on GPUs)

## 2014

• Jonata Teixeira Pastro (Iloc simulator), unfinished
• Vagner F. Pereira (TCC, parallel haskell) – Final report – co-advisor, with Rodrigo Machado

# Writing Technical Manuscripts

These are some books I recommend to improve writing skills for technical manuscripts.

• The elements of style by Strunk and White
• Essential Communication Strategies by Hirsch
• Writing for Computer Science by Zobel

The best way to improve your writing skills for technical papers is to read a lot of well-written papers, and write some yourself. Writing technical papers is an effort of repetition, the structure is always the same. You innovate when you have a good story to tell.