Publication | Closed Access
Loihi Asynchronous Neuromorphic Research Chip
38
Citations
5
References
2018
Year
Unknown Venue
EngineeringVlsi DesignComputer ArchitectureFpga EmulationNeurochipSocial SciencesNeuromorphic DevicesNeuromorphic EngineeringParallel ComputingNeurocomputersElectrical EngineeringCustom CoresComputer EngineeringNeuromorphic ComputingComputer ScienceMicroelectronicsNeuromorphic Research ChipSystem On ChipHardware AccelerationVlsi ArchitectureComputational NeuroscienceNeuroscience
Intel's "Loihi" neuromorphic research chip implements spiking neural networks on 128 custom cores with 1024 neurons each. It supports a wide variety of algorithms inspired by computational neuroscience, notably on-chip learning. Loihi's design is specified in the Communicating Sequential Processes (CSP) language and implemented by an automated flow that generates two-phase bundled-data (BD) asynchronous pipelines with pulsed latch datapaths. This optimizes area and energy while using a mostly standard cell library and simplifies integration with synchronous collateral. The pre-silicon design was verified by static timing analysis, back-annotated gate-level simulation, and FPGA emulation. Tunable delay lines provide sufficient timing margin in extreme corners such as near-threshold-voltage. Loihi was manufactured in Intel's 14nm ASIC process in Q4 2017 and is functional from 0.55V to 1.25V.
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