13 citations · 23 across the 3 of their papers we have counts for
3 papers · 1 filter
Improving the Effective Utilization of Supercomputer Resources by Adding Low-Priority Containerized Jobs
Julia Dubenskaya, Stanislav Polyakov
We propose an approach to utilize idle computational resources of supercomputers. The idea is to maintain an additional queue of low-priority non-parallel jobs and execute them in…
German-Russian Astroparticle Data Life Cycle Initiative
Andreas Haungs, Igor Bychkov, Julia Dubenskaya +19
A data life cycle (DLC) is a high-level data processing pipeline that involves data acquisition, event reconstruction, data analysis, publication, archiving, and sharing. For astro…
Deep Learning for Energy Estimation and Particle Identification in Gamma-ray Astronomy
Evgeny Postnikov, Alexander Kryukov, Stanislav Polyakov +1
Deep learning techniques, namely convolutional neural networks (CNN), have previously been adapted to select gamma-ray events in the TAIGA experiment, having achieved a good qualit…