An apparatus and method are described for executing both latency-optimized execution logic and throughput-optimized execution logic on a processing device. For example, a processor according to one embodiment comprises: latency-optimized execution logic to execute a first type of program code; throughput-optimized execution logic to execute a second type of program code, wherein the first type of program code and the second type of program code are designed for the same instruction set architecture; logic to identify the first type of program code and the second type of program code within a process and to distribute the first type of program code for execution on the latency-optimized execution logic and the second type of program code for execution on the throughput-optimized execution logic.

An example integrated circuit (IC) package includes: a processing system and a programmable IC disposed on a substrate, the processing system coupled to the programmable IC through interconnect of the substrate; the processing system including components coupled to a ring interconnect, the components including a processor and an interface controller. The programmable IC includes: an interface endpoint coupled to the interface controller through the interconnect; and at least one peripheral coupled to the interface endpoint and configured for communication with the ring interconnect of the processing system through the interconnect endpoint and the interface controller.

A processor with an expandable instruction set architecture for dynamically configuring execution resources. The processor includes a programmable execution unit (PEU) that may be programmed to perform a user-defined function in response to a user-defined instruction (UDI). The PEU includes programmable logic elements and programmable interconnectors that are collectively programmed to perform at least one processing operation. A UDI loader is responsive to a UDI load instruction that specifies a UDI and a location of programming information that is used to program the PEU. The PEU may be programmed for one or more UDIs for one or more processes. An instruction table stores each UDI and corresponding information to identify the UDI and possibly to reprogram the PEU if necessary. A UDI handler consults the instruction table to identify a received UDI and to send corresponding information to the PEU to execute the corresponding user-defined function.

A programmable apparatus for executing a function is disclosed. The programmable apparatus includes a physical interface configured to be connected with an external apparatus. The programmable apparatus also includes a function logic circuit configured to execute the function on the programmable apparatus. The programmable apparatus further includes a plurality of peripheral logic circuits, each of which is configured to connect the function logic circuit with the physical interface using a respective protocol. The programmable apparatus also includes a selector circuit configured to select one from among the plurality of the peripheral logic circuits to activate.

A random number signal generator used for performing dropout or weight initialization for a node in a neural network. The random number signal generator includes a transistor which generates a random noise signal. The transistor includes a substrate, source and drain regions formed in the substrate, a first insulating layer formed over a channel of the transistor, a first trapping layer formed over the first insulating layer, a second insulating layer formed over the first trapping layer, and a second trapping layer formed over the second insulating layer. One or more traps in the first and second trapping layers are configured to capture or release one or more carriers flowing through the channel region. The random noise signal is generated as a function of one or more carrier being captured or released by the one or more traps.

An example integrated circuit (IC) package includes: a processing system and a programmable IC disposed on a substrate, the processing system coupled to the programmable IC through interconnect of the substrate; the processing system including components coupled to a ring interconnect, the components including a processor and an interface controller. The programmable IC includes: an interface endpoint coupled to the interface controller through the interconnect; and at least one peripheral coupled to the interface endpoint and configured for communication with the ring interconnect of the processing system through the interconnect endpoint and the interface controller.

A programmable apparatus for executing a function is disclosed. The programmable apparatus includes a physical interface configured to be connected with an external apparatus. The programmable apparatus also includes a function logic circuit configured to execute the function on the programmable apparatus. The programmable apparatus further includes a plurality of peripheral logic circuits, each of which is configured to connect the function logic circuit with the physical interface using a respective protocol. The programmable apparatus also includes a selector circuit configured to select one from among the plurality of the peripheral logic circuits to activate.

An apparatus including reconfigurable interface circuits and associated systems and methods are disclosed herein. An reconfigurable interface circuit may include an output buffer and an input buffer coupled to a connector for respectively generating and receiving signals. The reconfigurable interface circuit may include a control circuit configured to control operation of the input and output buffers along with additional circuits to selectively implement one or more from a set of selectable communication settings.

A reconfigurable computing chip, a method for configuring the reconfigurable computing chip, a method for convolution process, a device for convolution process, a computer readable storage medium and a computer program product are provided. The reconfigurable computing chip comprises a processing module including multiple processing cores sharing a first cache, wherein each of the plurality of processing cores includes multiple processing elements sharing a second cache, each of the plurality of processing elements monopolizes a third cache corresponding to said processing element, wherein the reconfigurable computing chip is dynamically configured to perform convolution process on an input feature map and a convolution kernel to obtain an output feature map, and each of the multiple processing elements is dynamically configured to perform a multiplication-plus-addition process on a part of the input feature map and a part of the convolution kernel to obtain a part of the output feature map.

Embodiments of the technology can provide the flexibility of fine-grained dynamic partitioning of various compute resources among different compute subsystems on an SoC. A plurality of processing cores, cache hierarchies, memory controllers and I/O resources can be dynamically partitioned between a network compute subsystem and a server compute subsystem on the SoC.