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20192026
most citedALWANN: Automatic Layer-Wise Approximation of Deep Neural Network Accelerators without Retraining

129 citations · 462 across the 26 of their papers we have counts for

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cs.AR2023★ 1 cited

Xel-FPGAs: An End-to-End Automated Exploration Framework for Approximate Accelerators in FPGA-Based Systems

Bharath Srinivas Prabakaran, Vojtech Mrazek, Zdenek Vasicek +2

Generation and exploration of approximate circuits and accelerators has been a prominent research domain to achieve energy-efficiency and/or performance improvements. This research…