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

174 entries « 1 of 35 »


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

Micro-batch and data frequency for stream processing on multi-cores Journal Article doi

The Journal of Supercomputing, In press (In press), pp. 1-39, 2023.

Abstract | Links


Rockenbach, Dinei A; Löff, Júnior; Araujo, Gabriell; Griebler, Dalvan; Fernandes, Luiz G

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

XXVI Brazilian Symposium on Programming Languages (SBLP), pp. 41-49, ACM, Uberlândia, Brazil, 2022.

Abstract | Links

Vogel, Adriano

Self-adaptive abstractions for efficient high-level parallel computing in multi-cores PhD Thesis

School of Technology - PUCRS, 2022.

Abstract | Links

Vogel, Adriano

Self-adaptive abstractions for efficient high-level parallel computing in multi-cores PhD Thesis

Computer Science Department - University of Pisa, 2022.

Abstract | Links

Andrade, Gabriella; Griebler, Dalvan; Fernandes, Luiz Gustavo

Avaliação do Esforço de Programação em GPU: Estudo Piloto Inproceedings doi

Anais da XXII Escola Regional de Alto Desempenho da Região Sul, pp. 95–96, Sociedade Brasileira de Computação, Curitiba, Brazil, 2022.

Abstract | Links

174 entries « 1 of 35 »


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

Works Presented at the 23rd PUCRS Scientific Initiation Meeting

From October 3 to October 7, 2022, the 23rd edition of the Scientific Initiation Salon (SIC) of the Pontifical Catholic University of Rio Grande do Sul (PUCRS) took place. SIC is promoted by the Dean of Research and Graduate Studies of PUCRS and aims to provide the exchange of knowledge and of research results developed…

Paper presentation at SEAA 2022

The Euromicro Conference on Software Engineering and Advanced Applications (SEAA) is an international forum for researchers, practitioners, and students to present and discuss the latest innovations, trends, experiences, and concerns in the field of Software Engineering and Advanced Applications in information technology for software-intensive systems. This year, the event occurred from August 31st to September…

GMAP members win second place in the ERAD/RS 2022 parallel programming marathon.

During the XXII Regional School of High Performance of the South Region (ERAD/RS), the fifth edition of the Parallel Programming Marathon took place to promote knowledge in parallel and distributed programming. The target audience is undergraduate and graduate students of Computer Science, Computer Engineering, Information Systems, and related courses. This year, undergraduate student Caetano Muller,…

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Prédio 32, Sala 601 – 6º andar
Porto Alegre – RS / Brazil
Zip code: 90619-900

Phone number

+55 51 33203611
Phone extension: 8601


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