12 papers
Self-Correcting Long-Horizon Search Agents via Tree-Structured Memory
Aijun Yang, Qianxue Guo, Ziyi Huang +3
Large language model (LLM)-based search agents answer questions through multi-step interactions with external environments. However, providing complete execution trajectories to th…
PipeWeave: Synergizing Analytical and Learning Models for Unified GPU Performance Prediction
Kaixuan Zhang, Yunfan Cui, Shuhao Zhang +8
The rapid expansion of Transformer-based large language models has dramatically increased the need for high-performance GPUs. As a result, there is growing demand for fast, accurat…
WaveTune: Wave-aware Bilinear Modeling for Efficient GPU Kernel Auto-tuning
Kaixuan Zhang, Chutong Ding, Shiyou Qian +6
The rapid adoption of Large Language Models (LLMs) has made GPU inference efficiency an increasingly critical system concern. The runtime of LLM workloads is largely dominated by t…
Hestia: Hyperthread-Level Scheduling for Cloud Microservices with Interference-Aware Attention
Dingyu Yang, Fanyong Kong, Jie Dai +5
Modern cloud servers routinely co-locate multiple latency-sensitive microservice instances to improve resource efficiency. However, the diversity of microservice behaviors, coupled…
TaNG: Modeling Packet Classification with TSS-assisted Neural Networks on GPUs
Zhengyu Liao, Shiyou Qian
Packet classification is a core function in software-defined networks, and learning-based methods have recently shown significant throughput gains on large-scale rulesets. However,…
LLM-SrcLog: Towards Proactive and Unified Log Template Extraction via Large Language Models
Jiaqi Sun, Wei Li, Heng Zhang +4
Log parsing transforms raw logs into structured templates containing constants and variables. It underpins anomaly detection, failure diagnosis, and other AIOps tasks. Current pars…