Extracting Facts from Performance Tuning History of Scientific Applications for Predicting Effective Optimization Patterns

@article{Hashimoto2015ExtractingFF,
  title={Extracting Facts from Performance Tuning History of Scientific Applications for Predicting Effective Optimization Patterns},
  author={Masatomo Hashimoto and Masaaki Terai and Toshiyuki Maeda and Kazuo Minami},
  journal={2015 IEEE/ACM 12th Working Conference on Mining Software Repositories},
  year={2015},
  pages={13-23}
}
To improve performance of large-scale scientific applications, scientists or tuning experts make various empirical attempts to change compiler options, program parameters or even the syntactic structure of programs. Those attempts followed by performance evaluation are repeated until satisfactory results are obtained. The task of performance tuning requires a great deal of time and effort. On account of combinatorial explosion of possible attempts, scientists/tuning experts have a tendency to… CONTINUE READING