7 citations · 7 across the 3 of their papers we have counts for
3 papers
cs.LG2026
SNIP: An Adaptive Mixed Precision Framework for Subbyte Large Language Model Training
Yunjie Pan, Yongyi Yang, Hanmei Yang +1
Training large language models (LLMs) efficiently while preserving model quality poses significant challenges, particularly with subbyte precision supported by state-of-the-art GPU…
cs.AR2023
Vector-Processing for Mobile Devices: Benchmark and Analysis
Alireza Khadem, Daichi Fujiki, Nishil Talati +2
Vector processing has become commonplace in today's CPU microarchitectures. Vector instructions improve performance and energy which is crucial for resource-constraint mobile devic…
cs.LG2018★ 7 cited
Rethinking Numerical Representations for Deep Neural Networks
Parker Hill, Babak Zamirai, Shengshuo Lu +9
With ever-increasing computational demand for deep learning, it is critical to investigate the implications of the numeric representation and precision of DNN model weights and act…