7 papers
UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing
Xinming Wei, Chao Jin, Tuo Dai +10
Large-scale expert parallelism (EP) is becoming pivotal for training and serving frontier MoE models, but it also amplifies device-level expert load imbalance into compute straggle…
HeRo: Adaptive Orchestration of Agentic RAG on Heterogeneous Mobile SoC
Maoliang Li, Jiayu Chen, Zihao Zheng +5
With the increasing computational capability of mobile devices, deploying agentic retrieval-augmented generation (RAG) locally on heterogeneous System-on-Chips (SoCs) has become a…
DiagramNet: An End-to-End Recognition Framework and Dataset for Non-Standard System-Level Diagrams
Jincheng Lou, Ruohan Xu, Jiapeng Li +6
System-level diagrams encode the architectural blueprint of chip design, specifying module functions, dataflows, and interface protocols. However, non-standardized symbols and the…
Agent.xpu: Efficient Scheduling of Agentic LLM Workloads on Heterogeneous SoC
Xinming Wei, Jiahao Zhang, Haoran Li +6
Personal LLM agents increasingly combine foreground reactive interactions with background proactive monitoring, forming long-lived, stateful LLM flows that interleave prefill and t…
OpenLS-DGF: An Adaptive Open-Source Dataset Generation Framework for Machine Learning Tasks in Logic Synthesis
Liwei Ni, Rui Wang, Miao Liu +10
This paper introduces OpenLS-DGF, an adaptive logic synthesis dataset generation framework, to enhance machine learning~(ML) applications within the logic synthesis process. Previo…
VerilogReader: LLM-Aided Hardware Test Generation
Ruiyang Ma, Yuxin Yang, Ziqian Liu +4
Test generation has been a critical and labor-intensive process in hardware design verification. Recently, the emergence of Large Language Model (LLM) with their advanced understan…