Towards parallelism detection of sequential programs with graph neural network

Development of the parallel processing technology is necessary to solve problems created by programs with complex structures that are computation- and data-intensive. In the parallelization process, the detection of parallelism is an important task. Automatic parallelism analysis tools help programmers in finding parallelism. However, these tools have limitations in analyzing complex programs. Herein, we propose a data-driven method that can be...