Parallel Applications Modelling Group

GMAP is a research group at Pontifical Catholic University of Rio Grande do Sul (PUCRS). Historically, the group has carried out several researches about modeling and adapting real world and robust applications from different domains (physics, mathematics, geology, image processing, biology, aerospace, and many others) to run efficiently in High-Performance Computing (HPC) architectures. GMAP researchers are also working on ways to design and provide new parallelism abstractions for the next generation computer architectures and algorithms. The goal is to simplify parallel programming for application programmers, providing new domain-specific languages, libraries, and frameworks.

Research Lines

High-level and Structured 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 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 originated in other areas of knowledge (Biology, Geology, Physics, etc). The development of high performance solutions for problems requires a grasp in 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.

Energy Efficiency in High Performance Environments

This research line aims to study and propose software solutions to reduce energy consumption in high-performance environments. Target environments of research developed in this line are: clusters, grids, and clouds. We can highlight as examples of proposed solutions the creation of scheduling policies as well as the use of hardware techniques, aimed to reduce energy consumption in running large applications.

Team

Prof. Dr. Luiz Gustavo Leão Fernandes

Group Head

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Prof. Dr. Dalvan Griebler

Research Coordinator

Trabalha com abstrações de parallelismo de alto nível, design de compiladores, transformações source-to-source, computação de alto desempenho, aplicações, arquiteturas, ferramentas de programação paralela, plataformas de computação em nuvem open source, e tecnologias de virtualização.

Last Papers

131 entries « 2 of 27 »

2019

Rockenbach, Dinei A; Stein, Charles Michael; Griebler, Dalvan; Mencagli, Gabriele; Torquati, Massimo; Danelutto, Marco; Fernandes, Luiz Gustavo

Stream Processing on Multi-cores with GPUs: Parallel Programming Models' Challenges Inproceedings doi

International Parallel and Distributed Processing Symposium Workshops (IPDPSW), pp. 834-841, IEEE, Rio de Janeiro, Brazil, 2019.

Abstract | Links

Rockenbach, Dinei A; Griebler, Dalvan; Fernandes, Luiz G

Proposta de Suporte ao Paralelismo de GPU na SPar Inproceedings

Escola Regional de Alto Desempenho (ERAD/RS), pp. 4, Sociedade Brasileira de Computação (SBC), Três de Maio, BR, 2019.

Abstract | Links

Vogel, Adriano; Griebler, Dalvan; Fernandes, Luiz G

Adaptando o Paralelismo em Aplicações de Stream Conforme Objetivos de Throughput Inproceedings

Escola Regional de Alto Desempenho (ERAD/RS), pp. 4, Sociedade Brasileira de Computação (SBC), Três de Maio, BR, 2019.

Abstract | Links

Maron, Carlos A F; Griebler, Dalvan; Fernandes, Luiz G

Benchmark Paramétrico para o Domínio do Paralelismo de Stream: Um Estudo de Caso com o Ferret da Suíte PARSEC Inproceedings

Escola Regional de Alto Desempenho (ERAD/RS), pp. 4, Sociedade Brasileira de Computação (SBC), Três de Maio, BR, 2019.

Abstract | Links

Rista, Cassiano; Griebler, Dalvan; Fernandes, Luiz G

Proposta de Grau de Paralelismo Autoadaptativo com MPI-2 para a DSL SPar Inproceedings

Escola Regional de Alto Desempenho (ERAD/RS), pp. 4, Sociedade Brasileira de Computação (SBC), Três de Maio, BR, 2019.

Abstract | Links

131 entries « 2 of 27 »

Projects

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.

Last News

GMAP Member Presents his Undergraduate Thesis (Gabriell Alves de Araujo)

On Wednesday, December 4, 2019, Gabriell Alves de Araujo presented his undergraduate thesis entitled “A Study of the NAS Parallel Benchmarks with CUDA”. Gabriel is a student in the Computer Science course at the Polytechnic School of the Pontifical Catholic University of Rio Grande do Sul (PUCRS) and a scientific initiation student at GMAP. The…

GMAP Member Presents his Research Proposal for his Ph.D. Dissertation (Adriano Vogel)

On Friday, November 22, 2019, Adriano José Vogel, had his thesis proposal approved. Adriano is a doctoral student in the Graduate Program in Computer Science at the Polytechnic School of the Pontifical Catholic University of Rio Grande do Sul (PUCRS). The work was supervised by Dr. Luiz Gustavo Fernandes and co-supervised by Dr. Dalvan Griebler.…

GMAP Workshop 2019

The first GMAP Workshop took place on November 22, 2019. The purpose of the Workshop was to promote a space for socialization among the researchers of the group. Dissemination and discussion about research activities carried out by doctoral students, master’s students and undergraduate students were made. The Workshop served as a space for the integration…

Contact us!

If you have any questions or proposals, whether you are a student or a company seeking partnership for research projects, we are available!

Address

Av. Ipiranga, 6681
Prédio 32, Sala 601 – 6º andar
Porto Alegre – RS / Brazil
Zip code: 90619-900

Phone number

+55 51 33203611
Phone extension: 8601

Email

gmap.poa@gmail.com

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