CGO 2026
Sat 31 January - Wed 4 February 2026 Sydney, Australia
co-located with HPCA/CGO/PPoPP/CC 2026
Tue 3 Feb 2026 15:10 - 15:30 at Bronte - Analysis Chair(s): Jose Nelson Amaral

Android utilizes Ahead-of-Time (AOT) compilation technology to precompile applications and stores the compiled code in OAT files, thereby improving app performance. When the Android system is updated, the old OAT files become invalidated. Applications will fall back to interpreted execution, resulting in degraded performance. To accommodate the frequent updates to the Android system that commonly occur on a monthly basis for most smartphone manufacturers, apps must be frequently recompiled into OAT files to promptly restore optimal app performance. However, recompiling applications is a resource-consuming process that cannot be completed quickly. Users have to endure issues such as device overheating and lag, which are caused by performance degradation after system updates.

This paper evaluated popular Android apps across different system updates and made an important observation: up to 99% of the compiled code can be reused across different system updates, rendering most existing recompilation efforts unnecessary. Based on this observation, this paper proposes a method to accelerate app recompilation across Android system updates by reusing the old OAT files. We evaluated the proposed method with eight popular apps, on ten open-source Android system pairs and one closed-source Android system pair provided by a smartphone manufacturer. These Android system pairs have the same Android Runtime (ART) version and execute AOT compilation in both speed and speed-profile modes. Experimental results show that the proposed method reuses approximately 95% of compiled methods, achieving average speedups of 2.12× in CPU time and 1.39× in wall-clock time in speed-profile mode. In speed mode, the proposed method reuses about 99% of compiled methods, achieving average speedups of 5.15× in CPU time and 2.80× in wall-clock time, respectively. The proposed method not only accelerates app recompilation but also generates OAT files identical to those generated by native AOT compilation, without introducing security issues. Therefore, it holds significant promise for real-world deployment and has the potential to enhance user experience by speeding up the generation of new OAT files for applications.

Tue 3 Feb

Displayed time zone: Hobart change

14:10 - 15:30
AnalysisMain Conference at Bronte
Chair(s): Jose Nelson Amaral University of Alberta
14:10
20m
Talk
PIP: Making Andersen’s Points-to Analysis Sound and Practical for Incomplete C Programs
Main Conference
Håvard Rognebakke Krogstie NTNU, Helge Bahmann Independent Researcher, Magnus Själander Norwegian University of Science and Technology (NTNU), Nico Reissmann Independent Researcher
Pre-print Media Attached
14:30
20m
Talk
Thinking Fast and Correct: Automated Rewriting of Numerical Code through Compiler Augmentation
Main Conference
Siyuan Brant Qian University of Illinois at Urbana-Champaign, Vimarsh Sathia University of Illinois Urbana Champaign, Ivan Ivanov Institute of Science Tokyo, Jan Hueckelheim Argonne National Laboratory, Paul Hovland Argonne National Laboratory, William S. Moses University of Illinois Urbana-Champaign
Pre-print Media Attached
14:50
20m
Talk
PolyUFC: Polyhedral Compilation Meets Roofline Analysis for Uncore Frequency Capping
Main Conference
Nilesh Rajendra Shah Indian Institute of Technology Hyderabad, India, M V V S Manoj Kumar IIT Hyderabad, Dhairya Baxi Indian Institute of Science, India, Ramakrishna Upadrasta IIT Hyderabad
Pre-print
15:10
20m
Talk
Accelerating App Recompilation across Android System Updates by Code Reusing
Main Conference
Hongtao Wu Wuhan University, Yu Chen Wuhan University, Mengfei Xie Wuhan University, Futeng Yang Guangdong OPPO Mobile Telecommunications, Jun Yan Guangdong OPPO Mobile Telecommunications, Jiang Ma OPPO Electronics Corp., Jianming Fu Wuhan University, Jason Xue MBZUAI, Qingan Li Wuhan University, China
Pre-print