2 citations · 2 across the 1 of their papers we have counts for
3 papers
cs.LG2025★ 2 cited
APT-LLM: Exploiting Arbitrary-Precision Tensor Core Computing for LLM Acceleration
Shaobo Ma, Chao Fang, Haikuo Shao +1
Large language models (LLMs) have revolutionized AI applications, yet their enormous computational demands severely limit deployment and real-time performance. Quantization methods…
cs.AR2025
FastMamba: A High-Speed and Efficient Mamba Accelerator on FPGA with Accurate Quantization
Aotao Wang, Haikuo Shao, Shaobo Ma +1
State Space Models (SSMs), like recent Mamba2, have achieved remarkable performance and received extensive attention. However, deploying Mamba2 on resource-constrained edge devices…
cs.LG2024
Efficient Arbitrary Precision Acceleration for Large Language Models on GPU Tensor Cores
Shaobo Ma, Chao Fang, Haikuo Shao +1
Large language models (LLMs) have been widely applied but face challenges in efficient inference. While quantization methods reduce computational demands, ultra-low bit quantizatio…