1 citations · 2 across the 5 of their papers we have counts for
3 papers · 1 filter
Enabling Dynamic Sparsity in Quantized LLM Inference
Rongxiang Wang, Kangyuan Shu, Felix Xiaozhu Lin
Deploying large language models (LLMs) on end-user devices is gaining importance due to benefits in responsiveness, privacy, and operational cost. Yet the limited memory and comput…
Proto: A Guided Journey through Modern OS Construction
Wonkyo Choe, Rongxiang Wang, Afsara Benazir +1
Proto is a new instructional OS that runs on commodity, portable hardware. It showcases modern features, including per-app address spaces, threading, commodity filesystems, USB, DM…
Profiling Apple Silicon Performance for ML Training
Dahua Feng, Zhiming Xu, Rongxiang Wang +1
Apple Silicon has attracted much attention for its performance and role in machine learning (ML) training. Unlike NVIDIA GPUs, which have traditionally dominated ML training, Apple…