Accelerating legacy applications with spatial computing devices
CC BY
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| Định dạng: | Sách |
| Ngôn ngữ: | English |
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Springer
2023
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| Truy cập trực tuyến: | https://link.springer.com/article/10.1007/s11227-022-04925-2 https://dlib.phenikaa-uni.edu.vn/handle/PNK/7329 |
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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 |
8.893527 |