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CIM-MLC: A Multi-level Compilation Stack for Computing-In-Memory Accelerators
Based on the proposed abstraction, CIM-MLC can compile tasks onto a wide range of CIM accelerators having different devices, architectures, and programming interfaces.
Linear Symmetric Quantization of Neural Networks for Low-precision Integer Hardware
With the proliferation of specialized neural network processors that operate on low-precision integers, the performance of Deep Neural Network inference becomes increasingly dependent on the result of quantization.
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