21 citations · 39 across the 5 of their papers we have counts for
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cs.AR2025
CHIME: A Case for Efficient Long-Context Attention-FC Disaggregated Inference with DIMM-PIM
Qingyuan Liu, Liyan Chen, Haocheng Wang +6
Attention-FC Disaggregated (AFD) LLM inference systems offload memory-bound Attention operations to memory-rich accelerators (e.g., CPUs, HBM-PIM) while retaining compute-bound Ful…
cs.AR2024★ 16 cited
LUT Tensor Core: A Software-Hardware Co-Design for LUT-Based Low-Bit LLM Inference
Zhiwen Mo, Lei Wang, Jianyu Wei +8
Large Language Model (LLM) inference becomes resource-intensive, prompting a shift toward low-bit model weights to reduce the memory footprint and improve efficiency. Such low-bit…
cs.AR2022★ 1 cited
RePAST: A ReRAM-based PIM Accelerator for Second-order Training of DNN
Yilong Zhao, Li Jiang, Mingyu Gao +6
The second-order training methods can converge much faster than first-order optimizers in DNN training. This is because the second-order training utilizes the inversion of the seco…