| Deep reinforcement learning for computational fluid dynamics on HPC systems M Kurz, P Offenhäuser, D Viola, O Shcherbakov, M Resch, A Beck Journal of Computational Science 65, 101884, 2022 | 32 | 2022 |
| Dekomposition der verteilten parallelen Simulationsumgebung V Svjatnyj, V Kushnarenko, O Shcherbakov, M Resch Äîíåöüêèé íàö³îíàëüíèé òåõí³÷íèé óí³âåðñèòåò, 2012 | 11 | 2012 |
| Towards seamless integration of data analytics into existing HPC infrastructures D Hoppe, M Gienger, T Bnisch, O Shcherbakov, D Moise In Proceedings of the Cray User Group (CUG), Redmond, WA, USA, 2017 | 9 | 2017 |
| ParSimTech Research and Training Center O Miroshkin, S Kovalov, O Dmitrieva, O Shcherbakov, S Tsololo, Y Dikova, ... 2020 IEEE European Technology and Engineering Management Summit (E-TEMS), 1-4, 2020 | 3 | 2020 |
| Hybrid workflow of Simulation and Deep Learning on HPC: A Case Study for Material Behavior Determination L Zhong, D Hoppe, N Zhou, O Shcherbakov 2021 IEEE International Conference on Cluster Computing (CLUSTER), 698-704, 2021 | 1 | 2021 |
| Integration of Distributed Parallel Simulation Environment with Cloud-Infrastructures O Shcherbakov, K Polsterer, V Svjatnyj Simulation, 249-254, 2016 | 1 | 2016 |
| ÎÑÍÎÂÍÛÅ ÎÑÎÁÅÍÍÎÑÒÈ È ÏÅÐÑÏÅÊÒÈÂÛ ÐÀÇÂÈÒÈß ÌÎÄÅËÈÐÓÞÙÈÕ ÑÐÅÄ ÀÑ Ùåðáàêîâ, Àß Àíîïðèåíêî Èíôîðìàöèîííûå óïðàâëÿþùèå ñèñòåìû è êîìïüþòåðíûé ìîíèòîðèíã (ÈÓÑ ÊÌ 2013 …, 2013 | 1 | 2013 |
| Towards Seamless Execution of Deep Learning Application on Heterogeneous HPC Systems L Zhong, O Shcherbakov, D Hoppe, M Resch, B Koller Data Science in Applications, 233-252, 2023 | | 2023 |
| Âåá-îð³ºíòîâàí³ ìîäåëþþ÷³ ñåðåäîâèùà: äîñâ³ä ÄîíÍÒÓ òà ïåðñïåêòèâè ðîçâèòêó ÙÎÑ Àíîïð³ºíêî Î.ß, Ñâÿòíèé Â.À. Ìîäåëþâàííÿ ³ êîìï’þò åðíà ãðàô³êà, 230 - 238, 2013 | | 2013 |
| Development of new vector operations in PROMOT O Shcherbakov Äîíåöüêèé íàö³îíàëüíèé òåõí³÷íèé óí³âåðñèòåò, 2012 | | 2012 |
| Cost Optimization for Simulations in the Cloud O Shcherbakov, K Polsterer, V Svjatnyj 3rd bwHPC, 110, 0 | | |
