1. Agelastos, A., Allan, B., Brandt, J., et al.: The lightweight distributed metric service: a scalable infrastructure for continuous monitoring of large scale computing systems and applications. In: SC 2014: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, pp. 154–165 (2014)
2. Agelastos, A., Allan, B., Brandt, J., et al.: Toward rapid understanding of production HPC applications and systems. In: IEEE International Conference on Cluster Computing, pp. 464–473 (2015)
3. Lecture Notes in Computer Science;P Agrawal,2014
4. Ahmad, W.A., Bartolini, A., Beneventi, F., et al.: Design of an energy aware petaflops class high performance cluster based on power architecture. In: IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), pp. 964–973 (2017)
5. Alain, G., Bengio, Y.: What regularized auto-encoders learn from the data-generating distribution. J. Mach. Learn. Res. 15(1), 3563–3593 (2014)