4 citations · 11 across the 13 of their papers we have counts for
Showing 2024Show all
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cs.LG2024★ 4 cited
Model Quantization and Hardware Acceleration for Vision Transformers: A Comprehensive Survey
Dayou Du, Gu Gong, Xiaowen Chu
Vision Transformers (ViTs) have recently garnered considerable attention, emerging as a promising alternative to convolutional neural networks (CNNs) in several vision-related appl…
cs.AR2024★ 1 cited
Benchmarking and Dissecting the Nvidia Hopper GPU Architecture
Weile Luo, Ruibo Fan, Zeyu Li +3
Graphics processing units (GPUs) are continually evolving to cater to the computational demands of contemporary general-purpose workloads, particularly those driven by artificial i…
cs.CL2024★ 1 cited
BitDistiller: Unleashing the Potential of Sub-4-Bit LLMs via Self-Distillation
Dayou Du, Yijia Zhang, Shijie Cao +4
The upscaling of Large Language Models (LLMs) has yielded impressive advances in natural language processing, yet it also poses significant deployment challenges. Weight quantizati…