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

162 entries « 1 of 33 »


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

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

XXV Brazilian Symposium on Programming Languages (SBLP), ACM, Joinville, Brazil, 2021.


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

47th Euromicro Conference on Software Engineering and Advanced Applications (SEAA), pp. na, IEEE, Pavia, Italy, 2021.

Pieper, Ricardo; Löff, Júnior; Hoffmann, Renato Berreto; Griebler, Dalvan; Fernandes, Luiz Gustavo

High-level and Efficient Structured Stream Parallelism for Rust on Multi-cores Journal Article

Journal of Computer Languages, na (na), pp. na, 2021.


Löff, Júnior; Griebler, Dalvan; Mencagli, Gabriele; Araujo, Gabriell; Torquati, Massimo; Danelutto, Marco; Fernandes, Luiz Gustavo

The NAS parallel benchmarks for evaluating C++ parallel programming frameworks on shared-memory architectures Journal Article doi

Future Generation Computer Systems, na (na), pp. na, 2021.

Abstract | Links

Löff, Júnior; Griebler, Dalvan; Fernandes, Luiz Gustavo

Melhorando a Geração Automática de Código Paralelo para o Paradigma de Processamento de Stream em Multi-cores Journal Article

Revista Eletrônica de Iniciação Científica em Computação, 19 (2), pp. 2083, 2021.

Abstract | Links

162 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

Papers Presented at the 22nd PUCRS Scientific Initiation Meeting

The 22nd edition of the Scientific Initiation Meeting (SIC) of the Pontifical Catholic University of Rio Grande do Sul (PUCRS) promoted by the Dean of Research and Graduate Studies at PUCRS,  took place between October 4 and 8, 2021. The goal of SIC is to provide the exchange of knowledge and the results of research…

Awarded Paper at SBLP 2021

The 25th edition of the Brazilian Symposium on Programming Languages (SBLP) took place in virtual format from September 27 to October 1, 2021, promoted by the Brazilian Computer Society (SBC). SBLP 2021 is a forum for students, researchers, and practitioners to present and discuss ideas and innovations in the design, definition, analysis, implementation, and practical…

Article Published in the COLA Journal

The paper entitled “High-level and efficient structured stream parallelism for rust on multi-cores” was published in the Journal of Computer Languages (COLA) from Elsevier publisher. The work was written by GMAP researcher Ricardo Pieper, during his master’s degree, advised by Dr. Luiz Gustavo Fernandes, and co-advised by Dr. Dalvan Griebler. The original paper entitled “Structured…

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