TFApprox: Towards a Fast Emulation of DNN Approximate Hardware Accelerators on GPU
TFApprox: Towards a Fast Emulation of DNN Approximate Hardware Accelerators on GPU
Energy efficiency of hardware accelerators of deep neural networks (DNN) can be improved by introducing approximate arithmetic circuits. In order to quantify the error introduced by using these circuits and avoid the expensive hardware prototyping, a software emulator of the DNN accelerator is usually executed on CPU or GPU. However, …