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Optimizing Binary and Ternary Neural Network Inference on RRAM Crossbars using CIM-Explorer

arXiv (Cornell University)

Abstract

Using Resistive Random Access Memory (RRAM) crossbars in Computing-in-Memory (CIM) architectures offers a promising solution to overcome the von Neumann bottleneck. Due to non-idealities like cell variability, RRAM crossbars are often operated in binary mode, utilizing only two states: Low Resistive State (LRS) and High Resistive State (HRS). Binary Neural Networks (BNNs) and Ternary Neural Networks (TNNs) are well-suited for this hardware due to their efficient mapping. Existing software projects for RRAM-based CIM typically focus on only one aspect: compilation, simulation, or Design Space Exploration (DSE). Moreover, they often rely on classical 8 bit quantization. To address these limitations, we introduce CIM-Explorer, a modular toolkit for optimizing BNN and TNN inference on RRAM crossbars. CIM-Explorer includes an end-to-end compiler stack, multiple mapping options, and simulators, enabling a DSE flow for accuracy estimation across different crossbar parameters and mappings. CIM-Explorer can accompany the entire design process, from early accuracy estimation for specific crossbar parameters, to selecting an appropriate mapping, and compiling BNNs and TNNs for a finalized crossbar chip. In DSE case studies, we demonstrate the expected accuracy for various mappings and crossbar parameters. CIM-Explorer can be found on GitHub.

Authors 8

  1. Rebecca Pelke Aachen

    RWTH Aachen University

    Affiliation as printed

    RWTH Aachen University , Germany

  2. RWTH Aachen University

    Affiliation as printed

    RWTH Aachen University , Germany

  3. Nils Bosbach Aachen

    RWTH Aachen University

    Affiliation as printed

    RWTH Aachen University , Germany

  4. RWTH Aachen University

    Affiliation as printed

    RWTH Aachen University , Germany

  5. RWTH Aachen University

    Affiliation as printed

    RWTH Aachen University , Germany

  6. RWTH Aachen University

    Affiliation as printed

    RWTH Aachen University , Germany

  7. RWTH Aachen University

    Affiliation as printed

    RWTH Aachen University , Germany

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