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X-CEL: A Method to Estimate Near-Memory Acceleration Potential in Tile-Based MPSoCs

Near-memory acceleration strives to tackle the data-to-task locality issue in MPSoCs in order to obtain higher performance and lower power consumption. However, it is not easy to determine whether the advantages arise from the near-memory integration or the hardware acceleration (versus software exe...

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Detalles Bibliográficos
Autores principales: Rheindt, Sven, Fried, Andreas, Lenke, Oliver, Nolte, Lars, Sabirov, Temur, Twardzik, Tim, Wild, Thomas, Herkersdorf, Andreas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7343421/
http://dx.doi.org/10.1007/978-3-030-52794-5_9
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author Rheindt, Sven
Fried, Andreas
Lenke, Oliver
Nolte, Lars
Sabirov, Temur
Twardzik, Tim
Wild, Thomas
Herkersdorf, Andreas
author_facet Rheindt, Sven
Fried, Andreas
Lenke, Oliver
Nolte, Lars
Sabirov, Temur
Twardzik, Tim
Wild, Thomas
Herkersdorf, Andreas
author_sort Rheindt, Sven
collection PubMed
description Near-memory acceleration strives to tackle the data-to-task locality issue in MPSoCs in order to obtain higher performance and lower power consumption. However, it is not easy to determine whether the advantages arise from the near-memory integration or the hardware acceleration (versus software execution). We propose X-CEL, a method to accurately estimate the potential of near-memory acceleration using an easy-to-integrate near-memory core. We showcase X-CEL’s benefits with three variants of graph copy mechanisms in a tile-based MPSoC. Evaluations reveal that the estimated speedup is in good accordance with the actual speedup achieved by the near-memory accelerator.
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spelling pubmed-73434212020-07-09 X-CEL: A Method to Estimate Near-Memory Acceleration Potential in Tile-Based MPSoCs Rheindt, Sven Fried, Andreas Lenke, Oliver Nolte, Lars Sabirov, Temur Twardzik, Tim Wild, Thomas Herkersdorf, Andreas Architecture of Computing Systems – ARCS 2020 Article Near-memory acceleration strives to tackle the data-to-task locality issue in MPSoCs in order to obtain higher performance and lower power consumption. However, it is not easy to determine whether the advantages arise from the near-memory integration or the hardware acceleration (versus software execution). We propose X-CEL, a method to accurately estimate the potential of near-memory acceleration using an easy-to-integrate near-memory core. We showcase X-CEL’s benefits with three variants of graph copy mechanisms in a tile-based MPSoC. Evaluations reveal that the estimated speedup is in good accordance with the actual speedup achieved by the near-memory accelerator. 2020-06-12 /pmc/articles/PMC7343421/ http://dx.doi.org/10.1007/978-3-030-52794-5_9 Text en © Springer Nature Switzerland AG 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Rheindt, Sven
Fried, Andreas
Lenke, Oliver
Nolte, Lars
Sabirov, Temur
Twardzik, Tim
Wild, Thomas
Herkersdorf, Andreas
X-CEL: A Method to Estimate Near-Memory Acceleration Potential in Tile-Based MPSoCs
title X-CEL: A Method to Estimate Near-Memory Acceleration Potential in Tile-Based MPSoCs
title_full X-CEL: A Method to Estimate Near-Memory Acceleration Potential in Tile-Based MPSoCs
title_fullStr X-CEL: A Method to Estimate Near-Memory Acceleration Potential in Tile-Based MPSoCs
title_full_unstemmed X-CEL: A Method to Estimate Near-Memory Acceleration Potential in Tile-Based MPSoCs
title_short X-CEL: A Method to Estimate Near-Memory Acceleration Potential in Tile-Based MPSoCs
title_sort x-cel: a method to estimate near-memory acceleration potential in tile-based mpsocs
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7343421/
http://dx.doi.org/10.1007/978-3-030-52794-5_9
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