Short Courses of the 22nd Regional School of High Performance Computing from Southern Brazil
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ERAD-RS 2022Synopsis
The book introduced in XXII Escola Regional de Alto Desempenho da Região Sul (ERAD/RS) – event coordinated by Sociedade Brasileira de Computação (SBC) and Comissão Regional de Alto Desempenho do Estado do Rio Grande do Sul (CRAD/RS) with the aim of qualifying professionals from the south region of Brazil – , involves the integration of parallel programing researchers. Written in five chapters, this book is able to provide a grand variety of convergent content, focusing on performance.
In its first chapter, entitled “Desenvolvimento de Aplicações Paralelas Adaptativas: Uma Visão de Duas Décadas (2001-2021)”, the authors explain about the evolution of the parallel architectures and the transcription of their uses in dynamic environment. The theme provoques an interesting reflection not only for already-consolidated academics, but also for young students searching for new challenges.
In the following two chapters, the main topics are programing languages and technical in parallel computing, named as “Computação de Alto Desempenho em Julia", which refers to modern language, easily used and learn; and "Introdução à Programação com Memória Persistente", which discuss about the motivation and problems related to consistency of processors’ datas with persistent memory (PM)
In the fourth chapter, the essential aspects, the evaluation and the differences from the programs aiming to achieve the Gaming section were summarized and discussed.
Lastly, the outcome of the book highlights the omnipresent theme from research turned to the processing of high performance (PAD), “Apresentação de Resultados Experimentais para Processamento de Alto Desempenho em R”, which proposes ways to better dispose and reproduc the datas in academic texts and experiments.
Chapters
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1. Desenvolvimento de Aplicações Paralelas Adaptativas: Uma Visão de Duas Décadas (2001-2021)
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2. High Performance Computing in Julia
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3. Introdução à Programação com Memória Persistente
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4. Coisas para Saber Antes de Fazer o Seu Próprio Benchmarks Game
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5. Apresentação de Resultados Experimentais para Processamento de Alto Desempenho em R
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
