Software-Hardware Co-Optimization on Partial-Sum Problem for PIM-based Neural Network Accelerator
2021 IEEE High Performance Extreme Computing Conference (HPEC)（2021）
Abstract
The crossbar architecture, which is comprised of novel memristor devices, enables high-speed and energy-efficient processing-in-memory (PIM) for neural network computing. However, because to the limitations of the manufacturing process, it is difficult to fabricate huge arrays. As a consequence, the neural network’s vector-matrix-multiplication (VMM) must split the operands into several arrays to ...
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Key words
Training,Virtual machine monitors,Quantization (signal),Manufacturing processes,Memristors,Computer architecture,Artificial neural networks
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