Supercomputing. RuSCDays 2016. Communications in Computer and Information Science. Revised Selected Papers.
Energy consumption of hybrid systems is an actual problem of modern high-performance computing. The trade-off between power consumption and performance becomes more and more prominent. In this paper, we discuss the energy and power efficiency of two modern hybrid minicomputers Jetson TK1 and TX1. We use the Empirical Roofline Tool to obtain peak performance data and the molecular dynamics package LAMMPS as an example of a real-world benchmark. Using the precise wattmeter, we measure Jetsons power consumption profiles. The effectiveness of DVFS is examined as well. We determine the optimal GPU and DRAM frequencies that give the minimum energy-to-solution value.
In this paper we consider the efficiency of hybrid systemson-a-chip for high-performance calculations. Firstly, we build Roofline performance models for the systems considered using Empirical Roofline Toolkit and compare the results with the theoretical estimates. Secondly, we use LAMMPS as an example of the molecular dynamic package to demonstrate its performance and efficiency in various configurations running on Nvidia Tegra K1 & X1. Following the Roofline approach, we attempt to distinguish compute-bound and memory-bound conditions for the MD algorithm using the Lennard-Jones liquid model. The results are discussed in the context of the LAMMPS performance on Intel Xeon CPUs and the Nvidia Tesla K80 GPU.