Energy Consumption of MD Calculations on Hybrid and CPU-Only Supercomputers with Air and Immersion Cooling

Author:

Dlinnova Ekaterina12,Biryukov Sergey3,Stegailov Vladimir12

Affiliation:

1. National Research University Higher School of Economics, Moscow, Russia

2. Joint Institute for High Temperatures of RAS, Moscow, Russia

3. JSC NICEVT, Russia

Abstract

The article presents the energy consumption and efficiency analysis based on the data from three small-size supercomputers installed in JIHT RAS. One system is the air-cooled hybrid supercomputer Desmos with AMD FirePro GPUs and two others are the air-cooled and liquid-cooled segments of the supercomputer Fisher based on AMD Epyc Naples CPUs. To collect data, we implement the same real-time analytics infrastructure on all three supercomputers. We consider classical molecular-dynamics problem as a benchmarking tool. Our results quantify the energy savings that are provided by the GPU-based calculations in comparison with CPU-only calculations and by liquid cooling in comparison with air-cooling. During strong scaling benchmarks, we detect an interesting minimum of energy consumption in the CPU-only case.

Publisher

IOS Press

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