SmartApprox: learning-based configuration of approximate memories for energy-efficient execution
Approximate memories reduce power and increase energy efficiency, at the expense of errors in stored data. These errors may be tolerated, up to a point, by many applications with negligible impact on the quality of results. Uncontrolled errors in memory may, however, lead to crashes or broken output...
| Principais autores: | Fabrício Filho, João, Felzmann, Isaías Bittencourt, Wanner, Lucas Francisco |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Campo Mourao
2022
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| Assuntos: | |
| Acesso em linha: |
http://repositorio.utfpr.edu.br/jspui/handle/1/29764 https://doi.org/10.1016/j.suscom.2022.100701 |
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