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Accelerate Scientific Deep Learning Models on Heterogeneous Computing Platform with FPGA
AI and deep learning are experiencing explosive growth in almost every domain involving analysis of big data. Deep learning using Deep Neural Networks (DNNs) has shown great promise for such scientific data analysis applications. However, traditional CPU-based sequential computing without special in...
| Autores principales: | , , , , , , |
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| Lenguaje: | eng |
| Publicado: |
2020
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1051/epjconf/202024509014 http://cds.cern.ch/record/2753441 |