LUTNet: Learning FPGA configurations for highly efficient neural network inference
Research has shown that deep neural networks contain significant redundancy, and thus
that high classification accuracy can be achieved even when weights and activations are …
that high classification accuracy can be achieved even when weights and activations are …
RTL to transistor level power modeling and estimation techniques for FPGA and ASIC: A survey
Power consumption constitutes a major challenge for electronics circuits. One possible way
to deal with this issue is to consider it very soon in the design process in order to explore …
to deal with this issue is to consider it very soon in the design process in order to explore …
System and method for hybrid arithmetic and logic processing of neural networks
A hybrid processing fabric for doing training and inference on neural networks comprises
heterogeneous computational resources for performing both arithmetic and logic operations …
heterogeneous computational resources for performing both arithmetic and logic operations …