Abstract: Systems, methods, and devices for increasing inference speed of a trained convolutional neural network (CNN). A first computation speed of first filters having a first filter size in a layer of the CNN is determined, and a second computation speed of second filters having a second filter size in the layer of the CNN is determined. The size of at least one of the first filters is changed to the second filter size if the second computation speed is faster than the first computation speed. In some implementations the CNN is retrained, after changing the size of at least one of the first filters to the second filter size, to generate a retrained CNN. The size of a fewer number of the first filters is changed to the second filter size if a key performance indicator loss of the retrained CNN exceeds a threshold.

Abstract: A plurality of sequential nodes in a design file for an electronic device are identified and one or more combinatorial power metric values are computed for the plurality of sequential nodes based upon an effective switching capacitance, a switching activity measure, and a power effort measure for at least a first device downstream from the each sequential node at a specified depth. The combinatorial power metric values for the plurality of sequential node are stored and compared to a target power metric value to determine if power consumption at the electronic device meets a predetermined power performance goal.

Abstract: A plurality of sequential nodes in a design file for an electronic device are identified and one or more combinatorial power metric values are computed for the plurality of sequential nodes based upon an effective switching capacitance, a switching activity measure, and a power effort measure for at least a first device downstream from the each sequential node at a specified depth. The combinatorial power metric values for the plurality of sequential node are stored and compared to a target power metric value to determine if power consumption at the electronic device meets a predetermined power performance goal.