Corpus ID: 195345065

Adaptive Precision CNN Accelerator Using Radix-X Parallel Connected Memristor Crossbars

@article{Lee2019AdaptivePC,
  title={Adaptive Precision CNN Accelerator Using Radix-X Parallel Connected Memristor Crossbars},
  author={Jaeheum Lee and Jason K. Eshraghian and Kyoung-Rok Cho and K. Eshraghian},
  journal={ArXiv},
  year={2019},
  volume={abs/1906.09395}
}
  • Jaeheum Lee, Jason K. Eshraghian, +1 author K. Eshraghian
  • Published 2019
  • Computer Science, Engineering
  • ArXiv
  • Neural processor development is reducing our reliance on remote server access to process deep learning operations in an increasingly edge-driven world. By employing in-memory processing, parallelization techniques, and algorithm-hardware co-design, memristor crossbar arrays are known to efficiently compute large scale matrix-vector multiplications. However, state-of-the-art implementations of negative weights require duplicative column wires, and high precision weights using single-bit… CONTINUE READING
    10 Citations
    A Memristor-CMOS Braun Multiplier Array for Arithmetic Pipelining
    • 1
    MemTorch: An Open-source Simulation Framework for Memristive Deep Learning Systems
    • 2
    • PDF
    Low Power In-Memory Implementation of Ternary Neural Networks with Resistive RAM-Based Synapse
    • 1
    • PDF
    CMix-NN: Mixed Low-Precision CNN Library for Memory-Constrained Edge Devices
    • 8
    Single Crossbar Array of Memristors With Bipolar Inputs for Neuromorphic Image Recognition
    • 1
    • PDF
    Reconfigurable multiplier architecture based on memristor-cmos with higher flexibility
    Exploiting Memristors for Compressive Sensing Applications
    Edge Intelligence: The Confluence of Edge Computing and Artificial Intelligence
    • 26
    • PDF

    References

    SHOWING 1-10 OF 44 REFERENCES
    Analog Weights in ReRAM DNN Accelerators
    • 12
    • PDF
    Analogue signal and image processing with large memristor crossbars
    • 302
    • PDF
    NN compactor: Minimizing memory and logic resources for small neural networks
    • 5
    Neuromorphic computing using non-volatile memory
    • 334
    • PDF
    A memristor-based neuromorphic engine with a current sensing scheme for artificial neural network applications
    • 20
    Binary convolutional neural network on RRAM
    • 102
    • PDF
    Memristor Crossbar-Based Neuromorphic Computing System: A Case Study
    • 197
    Design and Analysis of a Hardware CNN Accelerator
    • 5
    • PDF
    Binary Weighted Memristive Analog Deep Neural Network for Near-Sensor Edge Processing
    • 7
    • PDF
    Efficient and self-adaptive in-situ learning in multilayer memristor neural networks
    • 206
    • PDF