GMAP at ERAD-RS 2022

The Regional High-Performance School (ERAD/RS) takes place annually. Its main objectives are to qualify future professionals from southern Brazil in the areas that compose the high-performance processing, provide a regular forum in which recent advances in these areas can be presented, and discuss ways of teaching high-performance processing in universities. ERAD/RS has presentation tracks for undergraduate and graduate papers, mini-courses, and lectures. This year, the event occurred from April 18 to 20 in Curitiba (PR). This ERAD/RS edition was the first in the state of Paraná. You can find more information about it on the official site by clicking here.

In recent years, GMAP has made constant submissions to ERAD/RS.  In 2022, there were 9 submissions, one of them together with the Sociedade Educacional Três de Maio (Setrem).

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In the Scientific Initiation Forum, there were three presentations by scientific initiation students:

Video Application with Flink, Storm, and SPar in Multi-cores

Leonardo Faé (PUCRS),  Dalvan Griebler (PUCRS/SETREM – Brazil) e Isabel Manssour (PUCRS)

Evaluation of a parallelism application in taxonomic classifiers using Qiime2

Caetano Müler (PUCRS), Júnior Löff (PUCRS), Dalvan Griebler (PUCRS/SETREM) e Eduardo Eizirik (PUCRS – Brazil)

Data Compression in HPC Clusters with Flink, MPI, and SPar

Greice Welter (SETREM), Gabriel Fim (Setrem – Brazil), Júnior Löff (PUCRS – Brazil) e Dalvan Griebler (PUCRS/SETREM – Brazil)

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In the Graduate Forum there were six presentations by Master’s and Ph.D. students:

Towards Efficient Stream Parallelism for Embedded Devices

Renato Barreto Hoffmann Filho (PUCRS), Dalvan Griebler (PUCRS/SETREM) e Luiz Gustavo Fernandes (PUCRS)

Proposed Framework for Distributed Processing in C++ using MPI

Júnior Löff (PUCRS), Dalvan Griebler (PUCRS/SETREM) e Luiz Gustavo Fernandes (PUCRS)

Evaluation of GPU Programming Effort: Pilot Study

Gabriella Andrade (GMAP/PPGCC/PUCRS), Dalvan Griebler (PUCRS/SETREM) e Luiz Gustavo Fernandes (PUCRS)

Um Framework para Criar Benchmarks de Aplicações Paralelas de Stream

Adriano Garcia (PUCRS), Dalvan Griebler (PUCRS/SETREM), Claudio Schepke (UNIPAMPA) e Luiz Gustavo Fernandes (PUCRS)

Providing Enhancements to GSParLib

Gabriell Araujo (PUCRS), Dalvan Griebler (PUCRS/SETREM) e Luiz Gustavo Fernandes (PUCRS)

Finding the Threads per Block Configuration for NPB-CUDA Kernels with Q-Learning

Claudio Scheer (PUCRS), Gabriell Araujo (PUCRS), Dalvan Griebler (PUCRS/SETREM), Felipe Meneguzzi (PUCRS) e Luiz Gustavo Fernandes (PUCRS)

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By Gabriella Andrade