May-happen-in-parallel analysis with static vector clocks

Author:

Zhou Qing1,Li Lian1,Wang Lei1,Xue Jingling2,Feng Xiaobing1

Affiliation:

1. Institute of Computing Technology at Chinese Academy of Sciences, China / University at Chinese Academy of Sciences, China

2. UNSW, Australia

Funder

Innovation Research Group of National Natural Science Foundation of China

National Key research and development program

Publisher

ACM

Reference34 articles.

1. May-happen-in-parallel analysis of X10 programs

2. Efficient Computation of May-Happen-in-Parallel Information for Concurrent Java Programs

3. Blaise Barney. 2017. POSIX Threads Programming. (2017). https: //computing.llnl.gov/tutorials/pthreads/ Blaise Barney. 2017. POSIX Threads Programming. (2017). https: //computing.llnl.gov/tutorials/pthreads/

4. Lightweight data race detection for production runs

5. Concurrency analysis in the presence of procedures using a data-flow framework

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