Minicursos do XXIII Simpósio em Sistemas Computacionais de Alto Desempenho

Autores

Carla Osthoff (ed.)

LNCC

https://orcid.org/0000-0002-4694-7182

Daniel Cordeiro (ed.)

USP

https://orcid.org/0000-0003-4971-7355

DOI: https://doi.org/10.5753/sbc.10915.8

Sinopse

Neste livro estão compilados os seis minicursos apresentados durante o XXIII Simpósio em Sistemas Computacionais de Alto Desempenho (WSCAD 2022), realizado entre os dias 19 e 21 de outubro de 2022 em Florianópolis, SC. Em todos os minicursos destaca-se o viés prático que incentiva os participantes e os leitores a utilizarem alto desempenho de maneira efetiva. O capítulo 1 "OneAPI: Uma Abordagem para a Computação Heterogênea Centrada no Desenvolvedor", apresenta o padrão OneAPI, que é um padrão aberto para a aceleração de computação que adota uma abordagem single-source, na qual todo o código da aplicação pode ser especificado uniformemente usando a linguagem C++, independente de executar no host ou em aceleradores. O capítulo 2 "Inteligência Artificial e Função como Serviço: Provisionando Aplicações com o AWS Lambda", apresenta o AWS Lambda, que é uma das principais ferramentas do chamado serviço de computação sem servidor. Dentro desse contexto, são introduzidos os conceitos de Função como Serviço (FaaS), englobando o uso de AWS Lambda para provisionar aplicações de AI. O capítulo 3 "Coisas para Fazer antes de Paralelizar", apresenta práticas que devem ser feitas para melhorar o desempenho de um código antes de se pensar em paralelização e revisa conceitos essenciais para a avaliação e comparação de programas, incluindo exemplos e demonstrações ao vivo de como aplicá-los. O capítulo 4 "Fundamentos de Computação Acelerada com CUDA C/C++", ensina as ferramentas e técnicas fundamentais para acelerar aplicações escritas em linguagens C/C++ para execução em arquiteturas massivamente paralelas com CUDA. O capítulo 5 "From sequence assembly to ancestry testing: HPC challenges for bioinformatics" fornece uma visão introdutória do processo de obtenção até a análise de dados biológicos, mostrando os principais algoritmos e banco de dados em cada etapa e uma discussão sobre as formas de paralelização destes algoritmos e os principais desafios que ainda carecem de uma solução. O capítulo 6, "Ferramentas para Configuração e Gerenciamento de Cluster de Alto Desempenho em Nuvem Pública", apresenta as melhores práticas adotadas pelo NACAD-COPPE/UFRJ para a implantação de um cluster de Alto Desempenho usando uma Nuvem Pública focando no uso de ferramentas para implantar e gerenciar clusters de Computação de Alto Desempenho (HPC) na Nuvem AWS.

Capítulos:

1. OneAPI: uma Abordagem para a Computação Heterogênea Centrada no Desenvolvedor

Ricardo Menotti, Tiago da Conceição Oliveira

DOI: https://doi.org/10.5753/sbc.10915.8.1

Capítulo 1

2. Inteligência Artificial e Função como Serviço: Provisionando Aplicações com o AWS Lambda

Sayonara S. Araújo, Francisco R. P. da Ponte, Victória T. Oliveira, Wendley S. da Silva, Dario Vieira, Miguel F. de Castro, Emanuel B. Rodrigues

DOI: https://doi.org/10.5753/sbc.10915.8.2

Capítulo 2

3. Coisas para Fazer Antes de Paralelizar

Alfredo Goldman, Vitor Tessari Terra, Sarita Mazzini Bruschi

DOI: https://doi.org/10.5753/sbc.10915.8.3

Capítulo 3

4. Fundamentos de Computação Acelerada com CUDA C/C++

Arthur Francisco Lorenzon

DOI: https://doi.org/10.5753/sbc.10915.8.4

Capítulo 4

5. From Sequence Assembly to Ancestry Testing: HPC Challenges for Bioinformatics

Mariana Carmin, Cláudio Torres Júnior, André Ricardo Abed Grégio, Marco Antonio Zanata Alves

DOI: https://doi.org/10.5753/sbc.10915.8.5

Capítulo 5

6. Ferramentas para Configuração e Gerenciamento de Cluster de Alto Desempenho em Nuvem Pública

Albino A. Aveleda, Alvaro L. G. A. Coutinho

DOI: https://doi.org/10.5753/sbc.10915.8.6

Capítulo 6

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