In the paper we tackle bi-objective execution time and power consumption optimization problem concerning execution of parallel applications. We propose using a discrete-event simulation environment for exploring this power/time trade-off in the form of a Pareto front. The solution is verified by a case study based on a real deep neural network training application for automatic speech recognition. A simulation lasting over 2 hours on a single CPU accurately predicts real results from executions that take over 335 hours in a cluster with 8 GPUs. The simulations allow also estimating the impact of data package imbalance on the application performance.
Authors
Additional information
- DOI
- Digital Object Identifier link open in new tab 10.1016/j.procs.2017.05.214
- Category
- Aktywność konferencyjna
- Type
- materiały konferencyjne indeksowane w Web of Science
- Language
- angielski
- Publication year
- 2017
