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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
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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. |
format | Online Article Text |
id | pubmed-7343421 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
record_format | MEDLINE/PubMed |
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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