A machine learning based hard fault recuperation model for approximate hardware accelerators

Farah Naz Taher, Joseph Callenes-Sloan, Benjamin Carrión Schäfer. A machine learning based hard fault recuperation model for approximate hardware accelerators. In Proceedings of the 55th Annual Design Automation Conference, DAC 2018, San Francisco, CA, USA, June 24-29, 2018. ACM, 2018. [doi]

Authors

Farah Naz Taher

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Joseph Callenes-Sloan

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Benjamin Carrión Schäfer

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