Improving the performance of actor model runtime environments on multicore and manycore platforms

Francesquini, Emílio; Goldman, Alfredo; Méhaut, Jean‐François

doi:10.1145/2541329.2541342

Cited by 6 publications

(2 citation statements)

References 14 publications

(20 reference statements)

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“…Strategies to address the aforementioned problems could be employed, such as load balance of loop iterations and vectorization. To accommodate these changes, however, these applications would need to be completely remodeled and redesigned to be suitable for use in the aforementioned architecture, which is an endeavor that can be time‐consuming .…”

Section: Related Workmentioning

confidence: 99%

CAP Bench: a benchmark suite for performance and energy evaluation of low‐power many‐core processors

Souza

Penna

Queiroz

et al. 2016

Concurrency and Computation

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International audienceSUMMARY The constant need for faster and more energy-efficient processors has been stimulating the development of new architectures, such as low-power many-core architectures. Researchers aiming to study these architectures are challenged by peculiar characteristics of some components such as Networks-on-Chip and lack of specific tools to evaluate their performance. In this context, the goal of this paper is to present a benchmark suite to evaluate state-of-the-art low-power many-core architectures such as the Kalray MPPA-256 low-power processor, which features 256 compute cores in a single chip. The benchmark was designed and used to highlight important aspects and details that need to be considered when developing parallel applications for emerging low-power many-core architectures. As a result, this paper demonstrates that the benchmark offers a diverse suite of programs with regard to parallel patterns, job types, communication intensity and task load strategies, suitable for a broad understanding of performance and energy consumption of MPPA-256 and upcoming many-core architectures

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Section: Related Workmentioning

confidence: 99%

CAP Bench: a benchmark suite for performance and energy evaluation of low‐power many‐core processors

Souza

Penna

Queiroz

et al. 2016

Concurrency and Computation

Self Cite

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show abstract

“…On the other hand, Kalray's MPPA-256 manycore [ABB + 13, DML + 13] employs a 2D torus topology. NoC interconnections resemble those of a NUMA platform and, for this reason, we intend to further study the adaptation of our approach to many-core platforms such as MPPA-256 [FGM13b].…”

Section: Future Workmentioning

confidence: 99%

Ambientes de execução para o modelo de atores em plataformas hierárquicas de memória compartilhada com processadores de múltiplos núcleos

Francesquini¹

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A few years ago I set out on my personal project to become a PhD. Now, with the maturity that only comes with time, I realize that I had only a slight idea of what that really meant. Fortunately, I was not alone in this endeavor. During this journey I had the support of many awesome people that, in one way or another, helped me face the personal and professional barriers brought forth by a task of this magnitude. Without their support this project would not have been made possible.Firstly, I would like to thank my advisors Alfredo Goldman vel Lejbman and Jean-François Méhaut. The innumerable discussions we had both during my stay in Brazil as well as in France showed me that sometimes it is necessary to take two steps back before we can take one step forward. With them I learned that solutions come naturally (sometimes unexpectedly) to those who are looking for them. I also would like to thank them for providing all the support I needed to develop and publish the research contained in this thesis as well as giving me the opportunity to get in touch with several international researchers.Secondly, I would like to thank my laboratory colleagues in Brazil (

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A Concurrent Architecture for Agent Reasoning Cycle Execution in Jason

Zatelli

Ricci

Hübner

2016

Multi-Agent Systems and Agreement Technologies

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Improving the performance of actor model runtime environments on multicore and manycore platforms

Cited by 6 publications

References 14 publications

CAP Bench: a benchmark suite for performance and energy evaluation of low‐power many‐core processors

CAP Bench: a benchmark suite for performance and energy evaluation of low‐power many‐core processors

Ambientes de execução para o modelo de atores em plataformas hierárquicas de memória compartilhada com processadores de múltiplos núcleos

A Concurrent Architecture for Agent Reasoning Cycle Execution in Jason

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