Gaspar: a compositional aspect‐oriented approach for cluster applications

Medeiros, Bruno; Silva, R.; Sobral, João Luís Ferreira

doi:10.1002/cpe.3666

Cited by 4 publications

(5 citation statements)

References 32 publications

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“…This paper shows that the map pattern is more suitable to express parallelism when the base program benefits from tiling [5]. The framework data API is similar to Standard Template Library(STL), but in STL there is a difference between a pointer (iterator) and the element pointed to.…”

Section: Discussion and Related Workmentioning

confidence: 99%

Gaspar Data-Centric Framework

Silva¹,

Sobral²

2017

High Performance Computing for Computational Science – VECPAR 2016

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This paper presents the Gaspar data-centric framework to develop high performance parallel applications in Java based on a map pattern of computation. The framework provides an efficient data Application Programming Interface(API) that supports data tiling and flexible data layout. Data tiling and layout control enables the improvement of data locality, which is essential to foster application scalability in modern multi-core systems. This paper shows that the framework performance in modern multi-core systems is comparable with pure Java code.

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Section: Discussion and Related Workmentioning

confidence: 99%

Gaspar Data-Centric Framework

Silva¹,

Sobral²

2017

High Performance Computing for Computational Science – VECPAR 2016

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“…O framework Gaspar visa abordar a complexidade no desenvolvimento de programas paralelos usando módulos simples. É composto por uma ferramenta de layout de dados, um conjunto de módulos de paralelismo que implementam abstrações de programação paralela e uma ferramenta de composição, detalhado na Figura 1 (Medeiros, 2015).…”

Section: Apis De Programação Paralelaunclassified

“…As construções aplicáveis bem como os nomes de diretivas são listadas na Tabela 1. Portanto se os programas base são desenvolvidos usando a API de dados, os dados serão mantidos nas coleções do framework e acessados usando a API de dados (Medeiros, 2015).…”

Section: !$Acc Directive-name [Clause-list]unclassified

Estudo e desenvolvimento de aplicações com processamento de alto desempenho e processamento paralelo

Gomides,

Da Silva,

Cunha

2023

Braz. J. Develop.

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Por meio do desenvolvimento tecnológico a indústria de eletrônicos cada vez mais avança no quesito de desempenho computacional por meios de novos dispositivos como é o caso da GPU. Esses novos dispositivos combinados com as APIs de processamento paralelo vem proporcionando novos caminhos para a computação de alto desempenho, sendo que a capacidade de mescla entre CPU e GPU, por exemplo, caracteriza um ambiente híbrido, sendo que esse ambiente tem produzido resultados satisfatórios em ganho de desempenho. Esse trabalho objetiva estudar a API OpenACC e os frameworks KernelHive e Gaspar.

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“…The five papers contained in this special issue cover very different areas. The titles of the papers are the following: MPI and UPC Broadcast, Scatter and Gather Algorithms in Xeon Phi A New Auction Based Scheduler for Heterogeneous Systems with Moldable Generic Resources Support Gaspar: A Compositional Aspect‐oriented Approach for Cluster Applications Novo‐G#: A Multidimensional Torus‐based Reconfigurable Cluster for Molecular Dynamics The DEEP Project: An alternative approach to heterogeneous cluster‐computing in the many‐core era …”

Section: Forewordmentioning

confidence: 99%

“…In the third paper, the authors introduce Gaspar, an aspect‐oriented framework that facilitates the development of Java applications for heterogeneous systems and clusters . They propose to exploit parallelism by aspect modules and a data layout that is dependent on the target platform.…”

Section: Forewordmentioning

confidence: 99%

Heterogeneous cluster architectures and applications

Silla

Fröning

2016

Concurrency and Computation

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Why such a topic for a special issue? Which is the reason for fostering recent work on cluster architectures that do not fit into the widely established categories? Are unconventional applications especially interesting so that they are worth a special issue? Do these disruptive pieces of work deserve such a focus in a journal?From the point of view of the guest editors of this special issue, the progress of technology can be seen as a two-step process. One of the steps is performing research in order to achieve a better version of the designs we are currently enjoying. In this regard, for instance, when an interconnection network is enhanced so that its bandwidth is doubled, datacenters can deliver a new level of performance to their customers. In a similar way, new generations of processors help to significantly reduce energy consumption of the servers used in such datacenter. Also, installing new versions of accelerators in such servers allows applications to experience important reductions in their execution time at the time that the overall power consumption of the facility is not impacted. All these new developments require an enormous amount of research. For example, faster interconnects require to glue together research on microelectronics, physics, communication protocols, encoding schemes, and thermal issues, to name only a few. The creation of new generations of processors and accelerators also involves large amounts of research from a variety of areas, thus making that a big team of researchers is required in order to bring all those ideas to market. Nevertheless, if those developments are observed from a very broad and long-term perspective, they could be thought to be incremental, despite of their clear significance and despite that they enable new levels of performance. Hence, which should be the non-incremental developments?Our understanding of this fundamental problem is that the non-incremental developments would be those based on ideas that could cause surprise to those researchers initially listening to them. For instance, the very first time that several computers were interconnected in order to create a cluster of computers that cooperatively work together in order to solve a problem, at that point in time an unconventional idea appeared. From a long-term perspective, all the later developments around clusters are incremental; despite those developments are the result of many hours of work and huge amounts of effort from very smart researchers that probably devoted their lives to create those improved versions of the technology behind that initial idea of putting together a few computers into a cluster so that they collaborate in order to solve a problem.One more example of these non-incremental developments could be the use of Graphics Processing Unit (GPU) or any other accelerator in general, in order to reduce the execution time of applications. In this regard, new versions of these accelerators are required so that technology makes progress. Furthermore, these new versions of these acce...

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Gaspar: a compositional aspect‐oriented approach for cluster applications

Cited by 4 publications

References 32 publications

Gaspar Data-Centric Framework

Gaspar Data-Centric Framework

Estudo e desenvolvimento de aplicações com processamento de alto desempenho e processamento paralelo

Heterogeneous cluster architectures and applications

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