5 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.AR2026
MxGLUT: A Reconfigurable LUT-Centric Broadcast Dataflow Accelerator for Mixed-Precision GEMM
Weiyu Zhou, Chen Ding, Mingyuan Liu +7
Large language model (LLM) inference suffers from growing inefficiency across the prefill and decode phases, especially under weight-only quantization, where activations remain in…
cs.AR2017★ 5 cited
A Low-Power Accelerator for Deep Neural Networks with Enlarged Near-Zero Sparsity
Yuxiang Huan, Yifan Qin, Yantian You +2
It remains a challenge to run Deep Learning in devices with stringent power budget in the Internet-of-Things. This paper presents a low-power accelerator for processing Deep Neural…