Improving Garbage Collection Observability with Performance Tracing-Reference-Cited by-同舟云学术

Improving Garbage Collection Observability with Performance Tracing

Published:2023-10-19 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 20th ACM SIGPLAN International Conference on Managed Programming Languages and Runtimes
language:
Short-container-title:

Author:

Huang Claire¹,Blackburn Stephen²,Cai Zixian¹

Affiliation:

1. Australian National University, Canberra, Australia

2. Google, Sydney, Australia / Australian National University, Canberra, Australia

Funder

Australian Research Council

Australian Government

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3617651.3622986

Reference49 articles.

1. Android Open Source Project. 2017. Overview of system tracing | Android Developers. https://developer.android.com/topic/performance/tracing. http://web.archive.org/web/20221221134831/https://developer.android.com/topic/performance/tracing Accessed: 2022-12-21. Android Open Source Project. 2017. Overview of system tracing | Android Developers. https://developer.android.com/topic/performance/tracing. http://web.archive.org/web/20221221134831/https://developer.android.com/topic/performance/tracing Accessed: 2022-12-21.

2. Android Open Source Project. 2017. Perfetto. https://perfetto.dev/. http://web.archive.org/web/20230216013847/https://perfetto.dev/ Accessed: 2023-02-16. Android Open Source Project. 2017. Perfetto. https://perfetto.dev/. http://web.archive.org/web/20230216013847/https://perfetto.dev/ Accessed: 2023-02-16.

3. Apple Inc. 2022 . GCGC : Garbage Collection Graph Collector. https://github.com/apple/GCGC . http://web.archive.org/web/20230102224957/https://github.com/apple/GCGC Accessed: 2023-01-02. Apple Inc. 2022. GCGC : Garbage Collection Graph Collector. https://github.com/apple/GCGC. http://web.archive.org/web/20230102224957/https://github.com/apple/GCGC Accessed: 2023-01-02.

4. Collecting and Exploiting High-Accuracy Call Graph Profiles in Virtual Machines

5. Tracing garbage collection on highly parallel platforms