48 citations · 49 across the 3 of their papers we have counts for
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cs.AR2023★ 1 cited
PIM-GPT: A Hybrid Process-in-Memory Accelerator for Autoregressive Transformers
Yuting Wu, Ziyu Wang, Wei D. Lu
Decoder-only Transformer models such as GPT have demonstrated exceptional performance in text generation, by autoregressively predicting the next token. However, the efficacy of ru…
cs.AR2023★ 48 cited
Bulk-Switching Memristor-based Compute-In-Memory Module for Deep Neural Network Training
Yuting Wu, Qiwen Wang, Ziyu Wang +5
The need for deep neural network (DNN) models with higher performance and better functionality leads to the proliferation of very large models. Model training, however, requires in…