FPGA-specific accurate and approximate compressor-based multipliers using column restructuring and post-synthesis approximation
Abstract Approximate computing reduces computational accuracy to achieve improvements in performance, energy efficiency, and resource utilization. It is well-suited to error-tolerant applications such as image processing and machine learning, where small errors do not substantially affect system beh...
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| Principais autores: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Nature Portfolio
2026-04-01
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| Series: | Scientific Reports |
| Assuntos: | |
| Acceso en liña: | https://doi.org/10.1038/s41598-026-49807-2 |
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