Abstract: An encoding/decoding scheme for pulse amplitude modulation (PAM) communications systems is disclosed. In one embodiment, a transmitter unit includes an encoder circuit and a transmit circuit. The encoder circuit is configured to encode an input data word having a first number of bits into a output data word having a second number of bits. The encoder performs a comparison operation to determine if at least one pair of subsets of the second plurality of bits includes bit values that are complements of each other. The encoder is further configured to modify the second plurality of bits if none of the pairs of subsets includes a bit values that are complements of each other such that the modified second plurality of bits does include at least one pair of subsets that includes values complementary to one another.

Abstract: A serial data receiver subsystem included in a computer system may include a data detection circuit, a speed detection circuit, and a receiver circuit that includes multiple subcircuits. The data detection circuit performs a comparison a reference voltage to the magnitude of signals received via a communication link that encode a serial data stream consisting of multiple data symbols. Using a result of the comparison, the data detection circuit may activate a indicating the presence of data on the communication link. Once the is active, the speed detection circuit checks the number of transitions to determine a rate at which data is being transmitted. In response to a determination that the rate of the data being transmitted exceeds a threshold value, the receiver circuit activates one or more of the multiple subcircuits.

Abstract: A receiver circuit that limits the frequency of a clock signal used in a computer system is disclosed. An embodiment of the receiver circuit includes a front-end circuit that generates an equalized signal, a clock generator circuit that generates a clock signal using a plurality of samples of the equalized signal, and a measurement circuit. The measurement circuit monitors a frequency of the clock signal and generates an indication signal in response to determining that the frequency of the clock signal exceeds a threshold frequency. The clock generator circuit uses the indication signal to adjust a frequency of the clock signal.

Abstract: To compensate for intersymbol interference, a serial data receiver circuit included in a computer system may include an equalizer circuit that includes a digital-to-analog converter circuit. Based on previously received symbols, the equalizer circuit modifies a signal received via a communication channel or link prior to clock and data recovery. In cases when the digital-to-analog converter circuit becomes saturated, the equalizer circuit additionally uses a dither signal to modify the received signal.

Abstract: Embodiments of the invention relate to a time-division multiplexed neurosynaptic module with implicit memory addressing for implementing a neural network. One embodiment comprises maintaining neuron attributes for multiple neurons and maintaining incoming firing events for different time steps. For each time step, incoming firing events for said time step are integrated in a time-division multiplexing manner. Incoming firing events are integrated based on the neuron attributes maintained. For each time step, the neuron attributes maintained are updated in parallel based on the integrated incoming firing events for said time step.

Abstract: One embodiment relates to a neuromorphic network including electronic neurons and an interconnect circuit for interconnecting the neurons. The interconnect circuit includes synaptic devices for interconnecting the neurons via axon paths, dendrite paths and membrane paths. Each synaptic device includes a variable state resistor and a transistor device with a gate terminal, a source terminal and a drain terminal, wherein the drain terminal is connected in series with a first terminal of the variable state resistor. The source terminal of the transistor device is connected to an axon path, the gate terminal of the transistor device is connected to a membrane path and a second terminal of the variable state resistor is connected to a dendrite path, such that each synaptic device is coupled between a first axon path and a first dendrite path, and between a first membrane path and said first dendrite path.

Abstract: One embodiment relates to a neuromorphic network including electronic neurons and an interconnect circuit for interconnecting the neurons. The interconnect circuit includes synaptic devices for interconnecting the neurons via axon paths, dendrite paths and membrane paths. Each synaptic device includes a variable state resistor and a transistor device with a gate terminal, a source terminal and a drain terminal, wherein the drain terminal is connected in series with a first terminal of the variable state resistor. The source terminal of the transistor device is connected to an axon path, the gate terminal of the transistor device is connected to a membrane path and a second terminal of the variable state resistor is connected to a dendrite path, such that each synaptic device is coupled between a first axon path and a first dendrite path, and between a first membrane path and said first dendrite path.

Abstract: A system and method for efficiently transporting data across lanes. A computing system includes an interconnect with lanes for transporting data between a source and a destination. When a source receives an indication of a bandwidth requirement change from a first data rate to a second data rate, the transmitter in the source sends messages to the receiver in the destination. The messages indicate that the data rate is going to change and reconfiguration of one or more lanes will be performed. The transmitter selects one or more lanes for transporting data at the second data rate. The transmitter maintains data transport at the first data rate while reconfiguring the selected one or more lanes to the second data rate. After completing the reconfiguration, the transmitter transports data at the second data rate on the selected one or more lanes while preventing data transport on any unselected lanes.

Abstract: A reconfigurable neural network circuit is provided. The reconfigurable neural network circuit comprises an electronic synapse array including multiple synapses interconnecting a plurality of digital electronic neurons. Each neuron comprises an integrator that integrates input spikes and generates a signal when the integrated inputs exceed a threshold. The circuit further comprises a control module for reconfiguring the synapse array. The control module comprises a global final state machine that controls timing for operation of the circuit, and a priority encoder that allows spiking neurons to sequentially access the synapse array.

Abstract: A system and method for efficiently transporting data across lanes. A computing system includes an interconnect with lanes for transporting data between a source and a destination. When a source receives an indication of a bandwidth requirement change from a first data rate to a second data rate, the transmitter in the source sends messages to the receiver in the destination. The messages indicate that the data rate is going to change and reconfiguration of one or more lanes will be performed. The transmitter selects one or more lanes for transporting data at the second data rate. The transmitter maintains data transport at the first data rate while reconfiguring the selected one or more lanes to the second data rate. After completing the reconfiguration, the transmitter transports data at the second data rate on the selected one or more lanes while preventing data transport on any unselected lanes.

Abstract: A reconfigurable neural network circuit is provided. The reconfigurable neural network circuit comprises an electronic synapse array including multiple synapses interconnecting a plurality of digital electronic neurons. Each neuron comprises an integrator that integrates input spikes and generates a signal when the integrated inputs exceed a threshold. The circuit further comprises a control module for reconfiguring the synapse array. The control module comprises a global final state machine that controls timing for operation of the circuit, and a priority encoder that allows spiking neurons to sequentially access the synapse array.

Abstract: A system and method for efficiently transporting data across lanes. A computing system includes an interconnect with lanes for transporting data between a source and a destination. When a source receives an indication of a bandwidth requirement change from a first data rate to a second data rate, the transmitter in the source sends messages to the receiver in the destination. The messages indicate that the data rate is going to change and reconfiguration of one or more lanes will be performed. The transmitter selects one or more lanes for transporting data at the second data rate. The transmitter maintains data transport at the first data rate while reconfiguring the selected one or more lanes to the second data rate. After completing the reconfiguration, the transmitter transports data at the second data rate on the selected one or more lanes while preventing data transport on any unselected lanes.

Abstract: Embodiments of the invention relate to a time-division multiplexed neurosynaptic module with implicit memory addressing for implementing a neural network. One embodiment comprises maintaining neuron attributes for multiple neurons and maintaining incoming firing events for different time steps. For each time step, incoming firing events for said time step are integrated in a time-division multiplexing manner. Incoming firing events are integrated based on the neuron attributes maintained. For each time step, the neuron attributes maintained are updated in parallel based on the integrated incoming firing events for said time step.

Abstract: Embodiments of the invention relate to a time-division multiplexed neurosynaptic module with implicit memory addressing for implementing a neural network. One embodiment comprises maintaining neuron attributes for multiple neurons and maintaining incoming firing events for different time steps. For each time step, incoming firing events for said time step are integrated in a time-division multiplexing manner. Incoming firing events are integrated based on the neuron attributes maintained. For each time step, the neuron attributes maintained are updated in parallel based on the integrated incoming firing events for said time step.

Abstract: One embodiment relates to a neuromorphic network including electronic neurons and an interconnect circuit for interconnecting the neurons. The interconnect circuit includes synaptic devices for interconnecting the neurons via axon paths, dendrite paths and membrane paths. Each synaptic device includes a variable state resistor and a transistor device with a gate terminal, a source terminal and a drain terminal, wherein the drain terminal is connected in series with a first terminal of the variable state resistor. The source terminal of the transistor device is connected to an axon path, the gate terminal of the transistor device is connected to a membrane path and a second terminal of the variable state resistor is connected to a dendrite path, such that each synaptic device is coupled between a first axon path and a first dendrite path, and between a first membrane path and said first dendrite path.

Abstract: One embodiment relates to a neuromorphic network including electronic neurons and an interconnect circuit for interconnecting the neurons. The interconnect circuit includes synaptic devices for interconnecting the neurons via axon paths, dendrite paths and membrane paths. Each synaptic device includes a variable state resistor and a transistor device with a gate terminal, a source terminal and a drain terminal, wherein the drain terminal is connected in series with a first terminal of the variable state resistor. The source terminal of the transistor device is connected to an axon path, the gate terminal of the transistor device is connected to a membrane path and a second terminal of the variable state resistor is connected to a dendrite path, such that each synaptic device is coupled between a first axon path and a first dendrite path, and between a first membrane path and said first dendrite path.

Abstract: Embodiments of the invention relate to a neuromorphic network for producing spike-timing dependent plasticity. The neuromorphic network includes a plurality of electronic neurons and an interconnect circuit coupled for interconnecting the plurality of electronic neurons. The interconnect circuit includes plural synaptic devices for interconnecting the electronic neurons via axon paths, dendrite paths and membrane paths. Each synaptic device includes a variable state resistor and a transistor device with a gate terminal, a source terminal and a drain terminal, wherein the drain terminal is connected in series with a first terminal of the variable state resistor.

Abstract: Embodiments of the invention relate to a neuromorphic network for producing spike-timing dependent plasticity. The neuromorphic network includes a plurality of electronic neurons and an interconnect circuit coupled for interconnecting the plurality of electronic neurons. The interconnect circuit includes plural synaptic devices for interconnecting the electronic neurons via axon paths, dendrite paths and membrane paths. Each synaptic device includes a variable state resistor and a transistor device with a gate terminal, a source terminal and a drain terminal, wherein the drain terminal is connected in series with a first terminal of the variable state resistor.

Abstract: Embodiments of the invention relate to a time-division multiplexed neurosynaptic module with implicit memory addressing for implementing a universal substrate of adaptation. One embodiment comprises a neurosynaptic device including a memory device that maintains neuron attributes for multiple neurons. The module further includes multiple bit maps that maintain incoming firing events for different periods of delay and a multi-way processor. The processor includes a memory array that maintains a plurality of synaptic weights. The processor integrates incoming firing events in a time-division multiplexing manner. Incoming firing events are integrated based on the neuron attributes and the synaptic weights maintained.

Abstract: A method and system are disclosed for measuring a specified parameter in a phase-locked loop frequency synthesizer (PLL). In one embodiment, the method comprises introducing multiple phase errors in the PLL, measuring a specified aspect of the introduced phase errors, and determining a value for the specified parameter using the measured aspects of the introduced phase errors. In one embodiment, the phase errors are introduced repetitively in the PLL, and these phase errors produce a modified phase difference between the reference signal and the feedback signal in the PPL. In one embodiment, crossover times, when this modified phase difference crosses over a preset value, are determined, and these crossover times are used to determine the value for the specified parameter. In an embodiment, the parameter is calculated as a mathematical function of the crossover times. The parameter may be, for example, the bandwidth of the PLL.