A reconfigurable, multi-core processor includes a plurality of memory blocks and programmable elements, including units for processing, memory interface, and on-chip cognitive data routing, all interconnected by a self-routing cognitive on-chip network. In embodiments, the processing units perform intrinsic operations in any order, and the self-routing network forms interconnections that allow the sequence of operations to be varied and both synchronous and asynchronous data to be transmitted as needed. A method for programming the processor includes partitioning an application into modules, determining whether the modules execute in series, program-driven parallel, or data-driven parallel, determining the data flow required between the modules, assigning hardware resources as needed, and automatically generating machine code for each module. In embodiments, Time Fields are added to the instruction format for all programming units that specify the number of clock cycles for which only one fetched and decoded instruction will be executed.

Methods and systems for dynamically reconfiguring a deep learning processor by operating the deep learning processor using a first configuration. The deep learning processor then tracking one or more parameters of a deep learning program executed using the deep learning processor in the first configuration. The deep learning processor then reconfigures the deep learning processor to a second configuration to enhance efficiency of the deep learning processor executing the deep learning program based at least in part on the one or more parameters.

In an aspect of the disclosure, a method, a computer-readable medium, and an apparatus are provided. The apparatus may be an embedded-system device. The embedded-system device receives first command or data through a first serial port of the embedded-system device. The embedded-system device further exposes a second serial port to a host of the embedded-system device such that the host has control over the second serial port and receiving second command or data from the host for outputting at the second serial port. The embedded-system device also redirects the first command or data to the second serial port when the embedded-system device is in a first mode. The embedded-system device allows the second command or data to be output at the second serial port when the embedded-system device is in a second mode.

Systems and methods supporting high performance real time pattern recognition by including time and regional multiplexing using high bandwidth, board-to-board communications channels, and 3D vertical integration. An array of processing boards can each be coupled a rear transition board, the array achieving time and regional multiplexing using high bandwidth board-to-board communications channels and 3D vertical integration.

The present disclosure relates to a mechanism for issuing instructions in a processor (e.g., a vector processor) implemented as an overlay on programmable hardware (e.g., a field programmable gate array (FPGA) device). Implementations described herein include features for optimizing resource availability on programmable hardware units and enabling superscalar execution when coupled with a temporal single-instruction multiple data (SIMD). Systems described herein involve an issue component of a processor controller (e.g., a vector processor controller) that enables fast and efficient instruction issue while verifying that structural and data hazards between instructions have been resolved.

A reconfigurable, multi-core processor includes a plurality of memory blocks and programmable elements, including units for processing, memory interface, and on-chip cognitive data routing, all interconnected by a self-routing cognitive on-chip network. In embodiments, the processing units perform intrinsic operations in any order, and the self-routing network forms interconnections that allow the sequence of operations to be varied and both synchronous and asynchronous data to be transmitted as needed. A method for programming the processor includes partitioning an application into modules, determining whether the modules execute in series, program-driven parallel, or data-driven parallel, determining the data flow required between the modules, assigning hardware resources as needed, and automatically generating machine code for each module. In embodiments, a Time Field is added to the instruction format for all programming units that specifies the number of clock cycles for which only one instruction fetch and decode will be performed.

In an aspect of the disclosure, a method, a computer-readable medium, and an apparatus are provided. The apparatus may be an embedded-system device. The embedded-system device receives first command or data through a first serial port of the embedded-system device. The embedded-system device further exposes a second serial port to a host of the embedded-system device such that the host has control over the second serial port and receiving second command or data from the host for outputting at the second serial port. The embedded-system device also redirects the first command or data to the second serial port when the embedded-system device is in a first mode. The embedded-system device allows the second command or data to be output at the second serial port when the embedded-system device is in a second mode.

Novel methods of virtualization with unique virtual architectures on field-programmable gate arrays (FPGAs) are provided. A hardware security method can include providing one or more field-programmable gate arrays (FPGAs), and creating an application specialized virtual architecture (or overlay) over the one or more FPGAs (for example, by providing an overlay generator). Unique bitfiles that configure the overlays implemented on the FPGAs can be provided for each deployed FPGA. The application specialized virtual architecture can be constructed using application code, or functions from a domain, to create an overlay represented by one or more hardware description languages (e.g., VHDL).

A reconfigurable, multi-core processor includes a plurality of memory blocks and programmable elements, including units for processing, memory interface, and on-chip cognitive data routing, all interconnected by a self-routing cognitive on-chip network. In embodiments, the processing units perform intrinsic operations in any order, and the self-routing network forms interconnections that allow the sequence of operations to be varied and both synchronous and asynchronous data to be transmitted as needed. A method for programming the processor includes partitioning an application into modules, determining whether the modules execute in series, program-driven parallel, or data-driven parallel, determining the data flow required between the modules, assigning hardware resources as needed, and automatically generating machine code for each module. In embodiments, a Time Field is added to the instruction format for all programming units that specifies the number of clock cycles for which only one instruction fetch and decode will be performed.

A modular quantum computer architecture is developed with a hierarchy of interactions that can scale to very large numbers of qubits. Local entangling quantum gates between qubit memories within a single modular register are accomplished using natural interactions between the qubits, and entanglement between separate modular registers is completed via a probabilistic photonic interface between qubits in different registers, even over large distances. This architecture is suitable for the implementation of complex quantum circuits utilizing the flexible connectivity provided by a reconfigurable photonic interconnect network. The subject architecture is made fault-tolerant which is a prerequisite for scalability. An optimal quantum control of multimode couplings between qubits is accomplished via individual addressing the qubits with segmented optical pulses to suppress crosstalk in each register, thus enabling high-fidelity gates that can be scaled to larger qubit registers for quantum computation and simulation.