Abstract: Embodiments are directed towards a system on chip (SoC) that implements a deep convolutional network heterogeneous architecture. The SoC includes a system bus, a plurality of addressable memory arrays coupled to the system bus, at least one applications processor core coupled to the system bus, and a configurable accelerator framework coupled to the system bus. The configurable accelerator framework is an image and deep convolutional neural network (DCNN) co-processing system. The SoC also includes a plurality of digital signal processors (DSPs) coupled to the system bus, wherein the plurality of DSPs coordinate functionality with the configurable accelerator framework to execute the DCNN.

Abstract: A drive circuit includes an input, a driver, a first buffer, a second buffer, a first capacitance element, and a second capacitance element. The driver includes a first PMOS transistor and a first NMOS transistor coupled in series between a supply terminal and a reference terminal. The first buffer is coupled between the input and a control terminal of the first PMOS transistor. The second buffer is coupled between the input and a control terminal of the first NMOS transistor. The first capacitance element is coupled to the control terminal of the first PMOS transistor through a first semiconductor switch. The second capacitance element is coupled to the control terminal of the first NMOS transistor through a second semiconductor switch.

Abstract: An Adjustable Field Effect Rectifier uses aspects of MOSFET structure together with an adjustment pocket or region to result in a device that functions reliably and efficiently at high voltages without significant negative resistance, while also permitting fast recovery and operation at high frequency without large electromagnetic interference.