Showing cs.DCShow all
2 papers · 1 filter
cs.DC2025
MoEntwine: Unleashing the Potential of Wafer-scale Chips for Large-scale Expert Parallel Inference
Xinru Tang, Jingxiang Hou, Dingcheng Jiang +9
As large language models (LLMs) continue to scale up, mixture-of-experts (MoE) has become a common technology in SOTA models. MoE models rely on expert parallelism (EP) to alleviat…
cs.DC2024
PALM: A Efficient Performance Simulator for Tiled Accelerators with Large-scale Model Training
Jiahao Fang, Huizheng Wang, Qize Yang +5
Deep learning (DL) models are piquing high interest and scaling at an unprecedented rate. To this end, a handful of tiled accelerators have been proposed to support such large-scal…