A Posit8 Decompression Operator for Deep Neural Network Inference
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-09779-9_2
Reference27 articles.
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4. Carmichael, Z., Langroudi, H.F., Khazanov, C., Lillie, J., Gustafson, J.L., Kudithipudi, D.: Performance-efficiency trade-off of low-precision numerical formats in deep neural networks. In: Proceedings of the Conference for Next Generation Arithmetic 2019, pp. 3:1–3:9. CoNGA 2019, ACM, New York (2019)
5. Carmichael, Z., Langroudi, H.F., Khazanov, C., Lillie, J., Gustafson, J.L., Kudithipudi, D.: Deep positron: a deep neural network using the posit number system. In: DATE, pp. 1421–1426. IEEE (2019)
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