2021 |
Compressão de Dados em Multicores com Flink ou SPar? Inproceedings doi 21th Escola Regional de Alto Desempenho da Região Sul (ERAD-RS), pp. 77-80, Sociedade Brasileira de Computação, Joinville, Brazil, 2021. |
Uso de Métricas de Codificação para Avaliar a Programação Paralela nas Aplicações de Stream em Sistemas Multi-core Inproceedings doi 21th Escola Regional de Alto Desempenho da Região Sul (ERAD-RS), pp. 93-94, Sociedade Brasileira de Computação, Joinville, Brazil, 2021. |
Proposta de Suporte à Parametrização no NPB com CUDA Inproceedings doi 21th Escola Regional de Alto Desempenho da Região Sul (ERAD-RS), pp. 103-104, Sociedade Brasileira de Computação, Joinville, Brazil, 2021. |
Provendo Abstrações de Alto Nível para GPUs na SPar Inproceedings doi 21th Escola Regional de Alto Desempenho da Região Sul (ERAD-RS), pp. 109-110, Sociedade Brasileira de Computação, Joinville, Brazil, 2021. |
Proposta de um Framework para Avaliar Interfaces de Programação Paralela em Aplicações de Stream Inproceedings doi 21th Escola Regional de Alto Desempenho da Região Sul (ERAD-RS), pp. 119-120, Sociedade Brasileira de Computação, Joinville, Brazil, 2021. |
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
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
Team
Prof. Dr. Luiz Gustavo Leão Fernandes
General Coordinator
Prof. Dr. Dalvan Griebler
Research Coordinator
Last Papers
Projects
Software
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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