Geodesic
Target optimization of a supercomputer task flow
Numerical methods and programming, Tome 20 (2019) no. 3, pp. 199-210.

Voir la notice de l'article provenant de la source Math-Net.Ru

This paper is a result of studying the task flows observed on the Lomonosov and Lomonosov-2 supercomputers. A new approach to evaluating the performance of a supercomputer system based on its basic performance characteristics is proposed. A supercomputer's scheduling efficiency function is introduced for Lomonosov, Lomonosov-2 and other systems. The approach allows the system administrators to compare various supercomputer systems based on their usage aims. This paper describes the Moscow State University experience of applying the proposed approach to the optimization of Lomonosov and Lomonosov-2 scheduling resources.
Keywords: supercomputer, scheduling efficiency, scheduling algorithms, SLURM. 
@article{VMP_2019_20_3_a2,
     author = {S. N. Leonenkov},
     title = {Target optimization of a supercomputer task flow},
     journal = {Numerical methods and programming},
     pages = {199--210},
     publisher = {mathdoc},
     volume = {20},
     number = {3},
     year = {2019},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/VMP_2019_20_3_a2/}
}
TY  - JOUR
AU  - S. N. Leonenkov
TI  - Target optimization of a supercomputer task flow
JO  - Numerical methods and programming
PY  - 2019
SP  - 199
EP  - 210
VL  - 20
IS  - 3
PB  - mathdoc
UR  - http://geodesic.mathdoc.fr/item/VMP_2019_20_3_a2/
LA  - ru
ID  - VMP_2019_20_3_a2
ER  - 
%0 Journal Article
%A S. N. Leonenkov
%T Target optimization of a supercomputer task flow
%J Numerical methods and programming
%D 2019
%P 199-210
%V 20
%N 3
%I mathdoc
%U http://geodesic.mathdoc.fr/item/VMP_2019_20_3_a2/
%G ru
%F VMP_2019_20_3_a2
S. N. Leonenkov. Target optimization of a supercomputer task flow. Numerical methods and programming, Tome 20 (2019) no. 3, pp. 199-210. http://geodesic.mathdoc.fr/item/VMP_2019_20_3_a2/