• Title/Summary/Keyword: Loihi

Search Result 1, Processing Time 0.014 seconds

QoS-Aware Optimal SNN Model Parameter Generation Method in Neuromorphic Environment (뉴로모픽 환경에서 QoS를 고려한 최적의 SNN 모델 파라미터 생성 기법)

  • Seoyeon Kim;Bongjae Kim;Jinman Jung
    • Smart Media Journal
    • /
    • v.12 no.4
    • /
    • pp.19-26
    • /
    • 2023
  • IoT edge services utilizing neuromorphic hardware architectures are suitable for autonomous IoT applications as they perform intelligent processing on the device itself. However, spiking neural networks applied to neuromorphic hardware are difficult for IoT developers to comprehend due to their complex structures and various hyper-parameters. In this paper, we propose a method for generating spiking neural network (SNN) models that satisfy user performance requirements while considering the constraints of neuromorphic hardware. Our proposed method utilizes previously trained models from pre-processed data to find optimal SNN model parameters from profiling data. Comparing our method to a naive search method, both methods satisfy user requirements, but our proposed method shows better performance in terms of runtime. Additionally, even if the constraints of new hardware are not clearly known, the proposed method can provide high scalability by utilizing the profiled data of the hardware.