[Remote] Demystifying Dependency Bugs in Deep Learning Stack
Deep learning (DL) applications, built upon a heterogeneous and complex DL stack (e.g., Nvidia GPU, Linux, CUDA driver, Python runtime, and TensorFlow), are subject to software and hardware dependencies across the DL stack. One challenge in dependency management across the entire engineering lifecycle is posed by the asynchronous and radical evolution and the complex version constraints among dependencies. Developers may introduce dependency bugs (DBs) in selecting, using and maintaining dependencies. However, the characteristics of DBs in DL stack is still under-investigated, hindering practical solutions to dependency management in DL stack. To bridge this gap, this paper presents the first comprehensive study to characterize symptoms, root causes and fix patterns of DBs across the whole DL stack with 446 DBs collected from StackOverflow posts and GitHub issues. For each DB, we first investigate the symptom as well as the lifecycle stage and dependency where the symptom is exposed. Then, we analyze the root cause as well as the lifecycle stage and dependency where the root cause is introduced. Finally, we explore the fix pattern and the knowledge sources that are used to fix it. Our findings from this study shed light on practical implications on dependency management.
Tue 5 DecDisplayed time zone: Pacific Time (US & Canada) change
16:00 - 18:00 | Log Analysis and DebuggingIndustry Papers / Research Papers at Golden Gate C1 Chair(s): Yiming Tang Rochester Institute of Technology | ||
16:00 15mTalk | [Remote] STEAM: Observability-Preserving Trace Sampling Industry Papers Shilin He Microsoft Research, Botao Feng Microsoft, Liqun Li Microsoft Research, Xu Zhang Microsoft Research, Yu Kang Microsoft Research, Qingwei Lin Microsoft, Saravan Rajmohan Microsoft 365, Dongmei Zhang Microsoft Research DOI Media Attached | ||
16:15 15mTalk | [Remote] Demystifying Dependency Bugs in Deep Learning Stack Research Papers Kaifeng Huang Fudan University, Bihuan Chen Fudan University, Susheng Wu Fudan University, Junming Cao Fudan University, Lei Ma The University of Tokyo / University of Alberta, Xin Peng Fudan University Media Attached | ||
16:30 15mTalk | From Point-wise to Group-wise: A Fast and Accurate Microservice Trace Anomaly Detection Approach Industry Papers Zhe Xie Tsinghua University, Changhua Pei Computer Network Information Center at Chinese Academy of Sciences, Wanxue Li eBay, USA, Huai Jiang eBay, USA, Liangfei Su eBay, USA, Jianhui Li Computer Network Information Center at Chinese Academy of Sciences, Gaogang Xie Computer Network Information Center at Chinese Academy of Sciences, Dan Pei Tsinghua University DOI Media Attached | ||
16:45 15mTalk | Semantic Debugging Research Papers Martin Eberlein Humboldt University of Berlin, Marius Smytzek CISPA Helmholtz Center for Information Security, Dominic Steinhöfel CISPA Helmholtz Center for Information Security, Lars Grunske Humboldt-Universität zu Berlin, Andreas Zeller CISPA Helmholtz Center for Information Security Media Attached | ||
17:00 7mTalk | Analyzing Microservice Connectivity with Kubesonde Industry Papers Jacopo Bufalino Aalto University, Mario Di Francesco Eficode; Aalto University, Tuomas Aura Aalto University DOI Media Attached | ||
17:08 15mTalk | [Remote] Hue: A User-Adaptive Parser for Hybrid Logs Research Papers Junjielong Xu Chinese University of Hong Kong, Shenzhen, Qiuai Fu Huawei Cloud Computing Technologies CO., LTD., Zhouruixing Zhu Chinese University of Hong Kong, Shenzhen, Yutong Cheng Chinese University of Hong Kong, Shenzhen, zhijing li , Yuchi Ma Huawei Cloud Computing Technologies CO., LTD., Pinjia He The Chinese University of Hong Kong, Shenzhen Media Attached | ||
17:23 15mTalk | [Remote] Log Parsing with Generalization Ability under New Log Types Research Papers Siyu Yu Guangxi University, Yifan Wu Peking University, Zhijing Li The Chinese University of Hong Kong, Shenzhen, Pinjia He The Chinese University of Hong Kong, Shenzhen, Ningjiang Chen Guangxi University, Changjian Liu Guangxi University Media Attached | ||