Evolving Cut-Off Mechanisms and Other Work-Stealing Parameters for Parallel Programs. European Conference on the Applications of Evolutionary Computation. 757–772.(2017).
Language-based expression of reliability and parallelism for low-power computing. IEEE Transactions on Sustainable Computing.(2017).
Prototyping a GPGPU Neural Network for Deep-Learning Big Data Analysis. Big Data Research. 8, 50–56.(2017).
Understanding the impact of task granularity in the energy consumption of parallel programs. Sustainable Computing: Informatics and Systems.(2017).
Automatic parallelization: Executing sequential programs on a task-based parallel runtime. International Journal of Parallel Programming. 44, 1337–1358.(2016).
Controlling the granularity of automatic parallel programs. Journal of Computational Science. 17, 620–629.(2016).
Evaluation of runtime cut-off approaches for parallel programs. Proceedings of the 12th International Meeting on High Performance Computing for Computational Science (VECPAR 2016). Springer.(2016).
MISO: An intermediate language to express parallel and dependable programs. arXiv preprint arXiv:1608.06171.(2016).