Energy analysis of plasma physics algorithms

9 Jul 2021, 11:15
15m
403 or Online - https://jinr.webex.com/jinr/j.php?MTID=mf93df38c8fbed9d0bbaae27765fc1b0f

403 or Online - https://jinr.webex.com/jinr/j.php?MTID=mf93df38c8fbed9d0bbaae27765fc1b0f

https://jinr.webex.com/jinr/j.php?MTID=mf93df38c8fbed9d0bbaae27765fc1b0f
Sectional reports 5. High Performance Computing HPC

Speaker

Igor Chernykh (Institute of Computational Mathematics and Mathematical Geophysics SB RAS)

Description

High-performance supercomputers became one of the biggest power consumption machines. The top supercomputer's power is about 30mW. Recent legislative trends in the carbon footprint area are affecting high-performance computing. In our work, we collect energy analysis from different kinds of Intel's server CPUs. We present the comparison of energy efficiency of our new Poissons's solver, which is useful for plasma physics and astrophysics computations, for different kinds of CPUs. This work supported by RSCF grant No. 19-71-20026.

Primary authors

Igor Chernykh (Institute of Computational Mathematics and Mathematical Geophysics SB RAS) Igor Kulikov (Institute of Computational Mathematics and Mathematical Geophysics of Siberian Branch of Russian Academy of Sciences) Marina Boronina (Institute of Computational Mathematics and Mathematical Geophysics of Siberian Branch of Russian Academy of Sciences) Anna Efimova (Institute of Computational Mathematics and Mathematical Geophysics of Siberian Branch of Russian Academy of Sciences) Vitaly Vshivkov Dmitry Weins (Institute of Computational Mathematics and Mathematical Geophysics of Siberian Branch of Russian Academy of Sciences)

Presentation materials