Publication | Closed Access
AI and ML Accelerator Survey and Trends
76
Citations
27
References
2022
Year
Unknown Venue
Artificial IntelligenceCo-processorsElectrical EngineeringEngineeringHardware AccelerationAi AcceleratorsXeon PhiPower Consumption NumbersHardware AlgorithmComputer ArchitectureComputer EngineeringDomain-specific AcceleratorComputer ScienceMl Accelerator SurveyParallel ComputingMicroelectronicsMemristor-based Inference Accelerators
This paper updates the survey of AI accelerators and processors from past three years. This paper collects and summarizes the current commercial accelerators that have been publicly announced with peak performance and power consumption numbers. The performance and power values are plotted on a scatter graph, and a number of dimensions and observations from the trends on this plot are again discussed and analyzed. Two new trends plots based on accelerator release dates are included in this year's paper, along with the additional trends of some neuromorphic, photonic, and memristor-based inference accelerators.
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