Parallel Applications Modelling Group

GMAP is a research group at the Pontifical Catholic University of Rio Grande do Sul (PUCRS). Historically, the group has conducted several types of research on modeling and adapting robust, real-world applications from different domains (physics, mathematics, geology, image processing, biology, aerospace, and many others) to run efficiently on High-Performance Computing (HPC) architectures, such as Clusters.

In the last decade, new abstractions of parallelism are being created through domain-specific languages (DSLs), libraries, and frameworks for the next generation of computer algorithms and architectures, such as embedded hardware and servers with accelerators like Graphics Processing Units (GPUs) or Field-Programmable Gate Array (FPGAs). This has been applied to stream processing and data science-oriented applications. Concomitantly, since 2018, research is being conducted using artificial intelligence to optimize applications in the areas of Medicine, Ecology, Industry, Agriculture, Education, Smart Cities, and others.

Research Lines

Applied Data Science

This line of research aims to apply and develop methods for knowledge extraction from databases, management of large volumes of data, explore artificial intelligence algorithms for problem-solving in Medicine, Ecology, Industry, Smart Cities, Agriculture, and other application domains. Data-intensive processing platforms are also enhanced for specific needs.

Parallelism Abstractions

The research line HSPA (High-level and Structured Parallelism Abstractions) aims to create programming interfaces for the user/programmer who is not able in dealing with the parallel programming paradigm. The idea is to offer a higher level of abstraction, where the performance of applications is not compromised. The interfaces developed in this research line go toward specific domains that can later extend to other areas. The scope of the study is broad as regards the use of technologies for the development of the interface and parallelism.

Parallel Application Modeling

The Parallel Applications Modelling research line is centered on the study of high-performance solutions for problems that originated in other areas of knowledge (Medicine, Biology, Geology, Physics, etc). The development of high-performance solutions for problems requires a grasp of many levels of specialized knowledge. Besides an analysis of the algorithmic complexity of the problem to be parallelized, it is also necessary to have knowledge about the developing environments and program tests, parallel programming techniques, performance evaluations, and high-performance architectures.


Prof. Dr. Luiz Gustavo Leão Fernandes

General Coordinator

Associate Professor at Polytechnic School, at the Graduate Program in Computer Science, and coordinator of the Stricto Sensu Programs of the Pro-Rectory of Research and Graduate Studies at PUCRS. Founder of GMAP. He works in the management of research projects and student orientation.

Prof. Dr. Dalvan Griebler

Research Coordinator

Associate Professor at the Polytechnic School and Computer Science Graduate Program at PUCRS. He also works with the management and development of research projects and student orientation.

Last Papers

165 entries « 1 of 33 »


Garcia, Adriano Marques; Griebler, Dalvan; Schepke, Claudio; Fernandes, Luiz Gustavo

Um Framework para Criar Benchmarks de Aplicações Paralelas de Stream Inproceedings doi

Anais da XXII Escola Regional de Alto Desempenho da Região Sul, pp. 97–98, Sociedade Brasileira de Computação, Curitiba, Brazil, 2022.

Abstract | Links

Garcia, Adriano Marques; Griebler, Dalvan; Schepke, Claudio; Fernandes, Luiz Gustavo

Evaluating Micro-batch and Data Frequency for Stream Processing Applications on Multi-cores Inproceedings doi

30th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP), pp. 10-17, IEEE, Valladolid, Spain, 2022.

Abstract | Links

Garcia, Adriano Marques; Griebler, Dalvan; Schepke, Claudio; Fernandes, Luiz Gustavo

SPBench: a framework for creating benchmarks of stream processing applications Journal Article doi

Computing, In press (In press), pp. 1-23, 2022.

Abstract | Links


Löff, Júnior; Hoffmann, Renato Barreto; Griebler, Dalvan; Fernandes, Luiz G

High-Level Stream and Data Parallelism in C++ for Multi-Cores Inproceedings doi

XXV Brazilian Symposium on Programming Languages (SBLP), pp. 41-48, ACM, Joinville, Brazil, 2021.

Abstract | Links

Andrade, Gabriella; Griebler, Dalvan; Santos, Rodrigo; Danelutto, Marco; Fernandes, Luiz Gustavo

Assessing Coding Metrics for Parallel Programming of Stream Processing Programs on Multi-cores Inproceedings doi

2021 47th Euromicro Conference on Software Engineering and Advanced Applications (SEAA), pp. 291-295, IEEE, Pavia, Italy, 2021, ISBN: 978-1-6654-2705-0.

Abstract | Links

165 entries « 1 of 33 »


GMAP is involved in various research projects in many areas of computing. To see a list of all completed or ongoing projects, please visit the Projects page.


To see a list of the software developed by the researchers from GMAP, please visit the Software page.

Last News

Gabriell Araujo was approved in his master thesis

On April 4th, Gabriell Alves de Araujo successfully defended his master’s thesis “Data and Stream Parallelism Optimization on GPUs” at the School of Technology of the Pontifical Catholic University of Rio Grande do Sul (PUCRS). Gabriell is currently a Ph.D. candidate at GMAP. The defense was done through video conference due to the events of…

Adriano Vogel was approved with honor in his Ph.D. thesis

On March 21st, Adriano Vogel (GMAP researcher) successfully defended his thesis “Self-adaptive abstractions for efficient high-level parallel computing in multi-cores” at the School of Technology of the Pontifical Catholic University of Rio Grande do Sul (PUCRS). The defense was done through video conference due to the events of Covid-19. Main research findings: Nowadays, a significant…

3rd edition of GMAP Workshop

In 2021, the 3rd edition of the GMAP Workshop (WGMAP) took place on December 16 and 17.  Again, due to Covid-19, the WGMAP took place via videoconference. The event aims to promote a space for socialization among the members of GMAP, with the dissemination of research activities carried out by Ph.D., Master’s, and undergraduate students.…

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