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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.

Pages

Posts

Future Blog Post

less than 1 minute read

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This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.

Blog Post number 4

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 3

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 2

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 1

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

portfolio

publications

D4: fast concurrency debugging with parallel differential analysis.

Published in Proceedings of the 39th ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI ’18), 2018

This paper presents D4, a fast concurrency analysis framework that detects concurrency bugs interactively in the programming phase.

Recommended citation: Liu, Bozhen. Huang, Jeff. (2018). "D4: fast concurrency debugging with parallel differential analysis." PLDI. https://dl.acm.org/doi/pdf/10.1145/3296979.3192390

Rethinking Incremental and Parallel Pointer Analysis

Published in ACM Transactions on Programming Languages and Systems (TOPLAS), 2018

We discuss the existing incremental and parallel pointer analyses and the state-of-the art techniques. We proposes an super efficient incremental pointer analysis for Java programs, which can be massively paralleled to further improve the performance.

Recommended citation: Liu, Bozhen. Huang, Jeff. Rauchwerger, Lawrence. "Rethinking Incremental and Parallel Pointer Analysis." TOPLAS. https://dl.acm.org/doi/pdf/10.1145/3293606

Sword: A scalable whole program race detector for java.

Published in Proceedings of the 41st International Conference on Software Engineering: Companion Proceedings (ICSE-Companion ’19), 2019

We present the design and implementation of SWORD, a scalable and fully automated static data race detector for Java, implemented as a plugin in the Eclipse IDE.

Recommended citation: Li, Yanze, Bozhen Liu, and Jeff Huang. (2019). "Sword: A scalable whole program race detector for java." ICSE-Companion. https://github.com/april1989/april1989.github.io/blob/master/files/sword.pdf

When Threads Meet Events: Efficient and Precise Static Race Detection with Origins.

Published in Proceedings of the 42nd ACM SIGPLAN International Conference on Programming Language Design and Implementation (PLDI ’21), 2021

We present a novel static analysis technique, O2, to detect data races in large complex multithreaded and event-driven software.

Recommended citation: Liu, Bozhen, Peiming Liu, Yanze Li, Chia-Che Tsai, Dilma Da Silva, and Jeff Huang. (2021). "When threads meet events: efficient and precise static race detection with origins." PLDI. https://o2lab.github.io/p/o2.pdf

OpenRace: An Open Source Framework for Statically Detecting Data Races.

Published in International Workshop on Software Correctness for HPC Applications (SC Correctness 2021), 2021

This paper presents OpenRace, a fast and practical static tool to detect data races in OpenMP programs.

Recommended citation: Bradley Swain, Bozhen Liu, Peiming Liu, Yanze Li, Addison Crump, Rohan Khera, Jeff Huang. (2021). "OpenRace: An Open Source Framework for Statically Detecting Data Races." SC Correctness 2021. https://github.com/april1989/april1989.github.io/blob/master/files/openrace.pdf

SHARP: fast incremental context-sensitive pointer analysis for Java.

Published in Proceedings of the ACM on Programming Languages (OOPSLA’22), 2022

We present SHARP, an incremental context-sensitive pointer analysis algorithm that scales to real-world large complex Java programs and can also be efficiently parallelized.

Recommended citation: Liu, Bozhen, and Jeff Huang. (2022). "SHARP: fast incremental context-sensitive pointer analysis for Java." OOSPLA. https://dl.acm.org/doi/pdf/10.1145/3527332

talks

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.