To PiM or Not to PiM: The case for in-memory inferencing of quantized CNNs at the edge

Unlocking the Potential of LDPC Decoders with PiM Acceleration

O Ferraz, Y Falevoz, V Silva… - 2023 57th Asilomar …, 2023 - ieeexplore.ieee.org
This paper introduces a novel concept for exploiting processing in-memory (PiM) hardware
decoding low-density parity-check (LDPC) codes. The PiM hardware can be used to mitigate …
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Processing Multi-Layer Perceptrons In-Memory

P Carrinho, O Ferraz, JD Ferreira… - … IEEE Workshop on …, 2024 - ieeexplore.ieee.org
Important modern applications such as machine learning, deep learning, graph processing,
databases (and many others) are memory-bound. This creates a bottleneck caused by the …
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CINEMA: A Configurable Binary Segmentation Based Arithmetic Module for Mixed-Precision In-Memory Acceleration

R Wang, R Xu, X Zhao, K Jiang… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
The emergence of mixed-precision quantization (MPQ) applied to edge AI models highlights
the critical need for hardware support. It is a promising model compression approach with …
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