Zobrazeno 1 - 10
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pro vyhledávání: '"software pipelining"'
Akademický článek
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Publikováno v:
Revista Brasileira de Computação Aplicada, Vol 7, Iss 3, Pp 120-133 (2015)
Impulsionadas pelos constantes avanços da indústria de semicondutores, as aplicações computacionais têm evoluído consideravelmente, uma vez que podem fazer uso de circuitos eletrônicos eficientes e com alto poder computacional. Nesse sentido,
Externí odkaz:
https://doaj.org/article/06d2685b3ba84d4e8ad6ab8c808bbf38
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. 32:2035-2048
In this article, we study performance and energy saving benefits of hardware acceleration under different hardware configurations and usage scenarios for a state-of-the-art Fast Multipole Method (FMM), which is a popular N-body method. We use a dedic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ddd35256aef30a9b7b164cb80b6b9066
https://doi.org/10.1109/tpds.2021.3056045
https://doi.org/10.1109/tpds.2021.3056045
Publikováno v:
IEEE Latin America Transactions. 18:2166-2173
With the increasing complexity of the applications, there is an urgent need for solutions to improve the performance of these applications. It is noted that the loops present in some of them are responsible for up to 71% of the code execution time. S
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ff024eede3612960b191a3bd635506d7
https://doi.org/10.1109/tla.2020.9400445
https://doi.org/10.1109/tla.2020.9400445
Publikováno v:
Future Generation Computer Systems. 111:1-16
In this article, we explore the problem of energy-aware scheduling of real-time applications modelled by conditional task graphs on NoC based MPSoC such that the total energy consumption is minimized. We propose a novel energy and memory-aware retimi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::223aa0fabd9aac7a7202c40255046604
https://doi.org/10.1016/j.future.2020.04.028
https://doi.org/10.1016/j.future.2020.04.028
Akademický článek
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Publikováno v:
DATE
Coarse-Grained Reconfigurable Arrays (CGRAs) are promising to have low power consumption and high energy-efficiency characteristics as accelerators. Recent years, many research works focus on improving the programmability of the CGRAs by enabling the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3862dd8ee311e252e758dc636ef63c78
https://doi.org/10.23919/date51398.2021.9473971
https://doi.org/10.23919/date51398.2021.9473971
Publikováno v:
2020 International Symposium on Advanced Electrical and Communication Technologies (ISAECT).
Detecting moving objects based on real-time video processing is considered as a challenging task. The background subtraction using the Gaussian Mixture Model (GMM) is one of the widely used technique. However, it requires high-computing power to meet
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c780e1b64a3eb3877531a7476135328d
https://doi.org/10.1109/isaect50560.2020.9523671
https://doi.org/10.1109/isaect50560.2020.9523671
Autor:
Glanon, Philippe Anicet
Publikováno v:
Distributed, Parallel, and Cluster Computing [cs.DC]. Université Paris-Saclay, 2020. English. ⟨NNT : 2020UPASG029⟩
Cyber-physical systems (CPSs) are distributed computing-intensive systems, that integrate a wide range of software applications and heterogeneous processing resources, each interacting with the other ones through different communication resources to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::7ce1ca64476f56e80a01dc81fe917d8b
https://tel.archives-ouvertes.fr/tel-03011573
https://tel.archives-ouvertes.fr/tel-03011573
Publikováno v:
DAC
The increasing size of recurrent neural networks (RNNs) makes it hard to meet the growing demand for real-time AI services. For low-latency RNN serving, FPGA-based accelerators can leverage specialized architectures with optimized dataflow. However,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2144985703ab89292df0df93cab2088a
https://doi.org/10.1109/dac18072.2020.9218528
https://doi.org/10.1109/dac18072.2020.9218528