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FPMax: a 106GFLOPS/W at 217GFLOPS/mm2 Single-Precision FPU, and a 43.7GFLOPS/W at 74.6GFLOPS/mm2 Double-Precision FPU, in 28nm UTBB FDSOI.
Jing Pu
Sameh Galal
Xuan Yang
Ofer Shacham
Mark Horowitz
Published in:
CoRR (2016)
Keyphrases
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high precision
precision and recall
floating point
information retrieval
neural network
reinforcement learning
lower bound
computer assisted