OrderLab Reading Group

Winter 2024

Tuesdays 10:00am-11:30am, 4941 BBB

Coordinator: Yi Chen


The reading group organized by the OrderLab covers latest advances in the research of computer systems. Students will read and discuss recent papers in top systems conferences such as OSDI, SOSP, NSDI, EuroSys, and ASPLOS.

Each week, one student will present the paper and lead the discussion. Other students should read the paper to be presented before the seminar. This seminar is supposed to generate in-depth discussions. It is impossible to do so without reading the paper first.

The focus topics covered in the papers vary semester to semester. Example topics include fault-tolerance, reliability, verification, energy efficiency, and virtualization. The presenter decides which paper to present. In general, select the papers that are relevant to your research project first (i.e., depth-first). If you are not sure, check with me first before preparing the presentation. Also, try to avoid picking papers that have already been picked in the past (the past schedules are linked on the left-side menu).

The presentation announcements are sent via the mailing list orderlab-talk@umich.edu, which will also be used to generate follow-up discussions of the presented paper. Students who wish to sign up for the mailing list, please email ryanph@umich.edu.


01/04/2024 Yuxuan Jiang

Yuxuan's Project Presentation

01/09/2024 Yuzhuo Jing

Yuzhuo's Project Presentation

01/16/2024 Yuzhuo Jing

Preliminary Exam Practice Talk



01/30/2024 Wanning He

Wanning's Project Presentation

02/06/2024 Ruiming Lu

Ruiming's Project Presentation

02/13/2024 Yuxuan Jiang

Yuxuan's Project Presentation Cont'd

02/20/2024 Yi Chen

Yi's Project Presentation

02/27/2024 Yuzhuo Jing

Yuzhuo's Project Presentation Cont'd

03/05/2024 Wanning He

Validating JIT Compilers via Compilation Space Exploration

Cong Li, Yanyan Jiang, and Chang Xu, Nanjing University; Zhendong Su, ETH Zurich

SOSP '23 Paper
03/12/2024 Yunchi Lu

Oobleck: Resilient Distributed Training of Large Models Using Pipeline Templates

Insu Jang and Zhenning Yang, University of Michigan; Zhen Zhang, Amazon Web Services; Xin Jin, Peking University; Mosharaf Chowdhury, University of Michigan

SOSP '23 Paper
03/19/2024 Yuxuan Jiang

Xpert: Empowering Incident Management with Query Recommendations via Large Language Models

Yuxuan Jiang, University of Michigan; Chaoyun Zhang and Shilin He, Microsoft; Zhihao Yang, Peking University; Minghua Ma, Si Qin, Yu Kang, Yingnong Dang, Saravan Rajmohan, Qingwei Lin and Dongmei Zhang, Microsoft

ICSE '24 Paper
03/26/2024 Yi Chen

Snowcat: Efficient Kernel Concurrency Testing using a Learned Coverage Predictor

Sishuai Gong and Dinglan Peng, Purdue University; Deniz Altınbüken, Google Deepmind; Pedro Fonseca, Purdue University; Petros Maniatis, Google DeepMind

SOSP '23 Paper