Think Parallel: Teaching Parallel Programming Today

Marowka, Ami

doi:10.1109/mdso.2008.24

Cited by 27 publications

(13 citation statements)

References 5 publications

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“…Para a parte de ensino, eles utilizaram uma implementação prática e coleta de feedback. [Marowka 2008] demonstram um curso introdutório em programação paralela para estudantes do terceiro ano de graduação em Ciências da Computação. Abordam tópicos representativos, teóricos e práticos.…”

Section: Mapeamento Sistemáticounclassified

Mapeamento Sistemático do Ensino Teórico e Prático de Programação Paralela

Bachiega¹,

Souza²,

Bruschi³

et al. 2017

Anais Dos Workshops Do VI Congresso Brasileiro De Informática Na Educação (CBIE 2017)

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Abstract. Providing parallel programming education is an emerging challenge, requires teaching methods to promote the learning process and also an elaborate infrastructure to provide a suitable environment for practical laboratory classes. Also, conventional teaching methods are used to share knowledge in the area, sometimes not being appropriate for this purpose. Effective learning methods, software configuration facility and the necessary laboratory infrastructure are needed. This paper presents a survey of recent research and challenges about parallel programming teaching. The main contribution of this work is to group state of the art in this context, highlighting the teaching practices available in the literature, to determine consolidated initiatives in development.Resumo. Fornecer educação em programação paralelaé um desafio emergente, requer métodos de ensino para promover o processo de aprendizagem e também uma infraestrutura para fornecer um ambiente adequado para as aulas de laboratório. Além disso, os métodos de ensino convencionais que são utilizados para compartilhar o conhecimento,às vezes não são adequados para esse propósito. Métodos de aprendizagem eficazes, configuração de software e uma infraestrutura de laboratório são requisitos necessários. Assim, este artigo apresenta uma revisão sistemática sobre o ensino de programação paralela. A principal contribuição deste trabalhoé reunir o estado da arte neste contexto, destacando as principais práticas de ensino disponíveis na literatura. IntroduçãoO ensino de Computação de Alto Desempenho ou HPC (High-Performance Computing), ao contrário de outros tipos de computação, aborda desafios e condições especiais. O ensino abrange grandes quantidades de informações, problemas computacionais e a compreensão das plataformas suportadas, onde os alunos precisam de capacidades e habilidades para operar esses ambientes especiais [Shamsi et al. 2015].[ Zarza et al. 2012] destacam a importância de HPC como uma ferramenta valiosa para a sociedade. HPC fornece o desenvolvimento de uma grande quantidade de aplicativos e serviços. Também abordam que o estudo de arquiteturas paralelasé uma das questões-chave para estudantes acadêmicos de computação, devido ao uso geral de computadores em diversas disciplinas.A Programação Paralela, uma parte de HPC, tornou-se ativa e intrínsecaàs tecnologias atualmente disponíveis, principalmente considerando os distintos modelos de programação provenientes dessas diferentes arquiteturas paralelas.

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Section: Mapeamento Sistemáticounclassified

Mapeamento Sistemático do Ensino Teórico e Prático de Programação Paralela

Bachiega¹,

Souza²,

Bruschi³

et al. 2017

Anais Dos Workshops Do VI Congresso Brasileiro De Informática Na Educação (CBIE 2017)

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“…We followed a procedure for a systematic review, described in review paper [15] (based on the Cochrane Handbook for Systematic Reviews of Interventions [16], the University of York's Centre for Reviews and Dissemination's guidance for those carrying out or commissioning reviews [17], and consultation with software engineering specialists on the topic and methods.) This procedure specifies the research questions, inclusion and exclusion criteria, quality criteria, data extraction etc……”

Section: Literature Surveymentioning

confidence: 99%

Image compression on biomedical images using predictive coding with the help of ROI

Singh¹,

Mishra²,

Gupta³

2015

2015 2nd International Conference on Signal Processing and Integrated Networks (SPIN)

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The improvement of multimedia, biomedical, medical and digital imaging has led to huge amount of data required to represent modern imagery. This requires a large disk space for storage and more time for transmitting from one computer networks to the other. Both are relatively expensive. In the biomedical images, the resolution is also very high. So, the factors like large space for storage, time and high resolution proves the need for images compression. Image compression addresses those problems and gives the solution of reducing the space required to represent biomedical image and then this takes less time to transmission from one computer network to other and it converts high resolution into the low resolution. Biomedical images are in the form of DICOM. In this paper we consider the condition of medical report. If we send the biomedical image of person from one place to other by using the network, then we will perform the compression techniques. In this paper we also perform the inverse transform for encoding or decoding the image. In this paper we propose the predictive compression algorithm with the help of ROI on biomedical images.

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“…There is a general opinion that the topics of parallelism should be distributed throughout the undergraduate program [3]. However, in most universities the concepts of parallelism are studied only in the last courses [18].…”

Section: Introductionmentioning

confidence: 99%

Methods and tools for teaching parallel and distributed computing in universities: a systematic review of the literature

Sitsylitsyn

2020

SHS Web Conf.

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As computer hardware becomes more and more parallel, there is a need for software engineers who are experienced in developing parallel programs, not only by “parallelizing” sequential designs. Teach students a parallelism in elementary courses in computer science this is a very important step towards building the competencies of future software engineers. We have conducted research on “teaching parallel and distributed computing” and “parallel programming” publications in the Scopus database, published in English between 2008 and 2019. After quality assessment, 26 articles were included in the analysis. As a result, the main tool for teaching parallel and distributed computing is a lab course with a C++ programming language and MPI library.

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Think Parallel: Teaching Parallel Programming Today

Cited by 27 publications

References 5 publications

Mapeamento Sistemático do Ensino Teórico e Prático de Programação Paralela

Mapeamento Sistemático do Ensino Teórico e Prático de Programação Paralela

Image compression on biomedical images using predictive coding with the help of ROI

Methods and tools for teaching parallel and distributed computing in universities: a systematic review of the literature

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