Minicursos da XXIII Escola Regional de Alto Desempenho da Região Sul

Autores

Edson Luiz Padoin (ed.)

UNIJUÍ

Guilherme Galante (ed.)

UNIOESTE

Rodrigo Righi (ed.)

UNISINOS

DOI: https://doi.org/10.5753/sbc.11938.7

Sinopse

Este livro apresenta o texto de cinco minicursos aceitos e apresentados na XXIII Escola Regional de Alto Desempenho da Região Sul (ERAD/RS). Os minicursos buscam disseminar o conhecimento técnico e científico sobre temas e assuntos relacionados à área de processamento de alto desempenho na região Sul do país. No primeiro capítulo deste livro, “Diretivas Paralelas de OpenMP: Um Estudo de Caso”, os autores apresentam diferentes tipos de diretivas de OpenMP e como cada uma delas impacta no desempenho de uma aplicação paralela. No segundo capítulo, “Projeto de Aplicações Paralelas”, o autor fornece uma visão geral do processo de projeto de aplicações paralelas. São apresentadas duas abordagens: PCAM e Padrões de Projeto. Na sequência, o terceiro capítulo, intitulado “DevOps para HPC: Como configurar um cluster para uso compartilhado?”, apresenta um conjunto de softwares e serviços que podem ser utilizados para a construção de uma infraestrutura de cluster compartilhado para a execução de aplicações paralelas. No quarto capítulo, “Aprendizado de Máquina e Computação de Alto Desempenho”, os autores abordam os fundamentos do aprendizado de máquina, suas implicações quanto à computação de alto desempenho, e as principais técnicas empregadas nesse contexto. Nesse contexto, são explorados modelos computacionais, frameworks mais utilizados e diversos trabalhos científicos do estado da arte. No quinto capítulo, “Explorando Técnicas de Compressão para Melhorar a Eficiência de Tratamento de Dados IoT”, os autores abordam diferentes técnicas de compressão de dados e de que modo podem contribuir na melhoria de desempenho nos processos de compactação e restauração da informação, levando a uma maior eficiência na sua transmissão e armazenamento de dados.

Capítulos:

1. Diretivas Paralelas de OpenMP: Um Estudo de Caso

Claudio Schepke, Natiele Lucca, João Vicente Ferreira Lima

DOI: https://doi.org/10.5753/sbc.11938.7.1

Capítulo 1

2. Projeto de Aplicações Paralelas

Guilherme Galante

DOI: https://doi.org/10.5753/sbc.11938.7.2

Capítulo 2

3. DevOps para HPC: Como configurar um cluster para uso compartilhado

Lucas Leandro Nesi, Lucas Mello Schnorr

DOI: https://doi.org/10.5753/sbc.11938.7.3

Capítulo 3

4. Aprendizado de Máquina e Computação de Alto Desempenho

Manuel Binelo, Edson Luiz Padoin

DOI: https://doi.org/10.5753/sbc.11938.7.4

Capítulo 4

5. Explorando Técnicas de Compressão para Melhorar a Eficiência de Tratamento de Dados IoT

Alexandre Luis de Andrade, Rodrigo da Rosa Righi

DOI: https://doi.org/10.5753/sbc.11938.7.5

Capítulo 5

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