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Accelerating legacy applications with spatial computing devices

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Bibliographic Details
Main Authors: Paolo, Savio, Alberto, Scionti, Giacomo, Vitali
Format: Book
Language:English
Published: Springer 2023
Subjects:
energy-efficient high-performance computing systems
FPGAs
Online Access:https://link.springer.com/article/10.1007/s11227-022-04925-2
https://dlib.phenikaa-uni.edu.vn/handle/PNK/7329
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spelling oai:localhost:PNK-73292023-03-30T04:09:16Z Accelerating legacy applications with spatial computing devices Paolo, Savio Alberto, Scionti Giacomo, Vitali energy-efficient high-performance computing systems FPGAs CC BY Heterogeneous computing is the major driving factor in designing new energy-efficient high-performance computing systems. Despite the broad adoption of GPUs and other specialized architectures, the interest in spatial architectures like field-programmable gate arrays (FPGAs) has grown. While combining high performance, low power consumption and high adaptability constitute an advantage, these devices still suffer from a weak software ecosystem, which forces application developers to use tools requiring deep knowledge of the underlying system, often leaving legacy code (e.g., Fortran applications) unsupported. 2023-03-30T04:09:16Z 2023-03-30T04:09:16Z 2023 Book https://link.springer.com/article/10.1007/s11227-022-04925-2 https://dlib.phenikaa-uni.edu.vn/handle/PNK/7329 en application/pdf Springer
institution Digital Phenikaa
collection Digital Phenikaa
language English
topic energy-efficient high-performance computing systems
FPGAs
spellingShingle energy-efficient high-performance computing systems
FPGAs
Paolo, Savio
Alberto, Scionti
Giacomo, Vitali
Accelerating legacy applications with spatial computing devices
description CC BY
format Book
author Paolo, Savio
Alberto, Scionti
Giacomo, Vitali
author_facet Paolo, Savio
Alberto, Scionti
Giacomo, Vitali
author_sort Paolo, Savio
title Accelerating legacy applications with spatial computing devices
title_short Accelerating legacy applications with spatial computing devices
title_full Accelerating legacy applications with spatial computing devices
title_fullStr Accelerating legacy applications with spatial computing devices
title_full_unstemmed Accelerating legacy applications with spatial computing devices
title_sort accelerating legacy applications with spatial computing devices
publisher Springer
publishDate 2023
url https://link.springer.com/article/10.1007/s11227-022-04925-2
https://dlib.phenikaa-uni.edu.vn/handle/PNK/7329
_version_ 1761821913705873408
score 8.8894005

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