Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Ilya A. Mkrtchan"'
Autor:
Aleksandr Yu. Romanov, Alexander L. Stempkovsky, Ilia V. Lariushkin, Georgy E. Novoselov, Roman A. Solovyev, Vladimir A. Starykh, Irina I. Romanova, Dmitry V. Telpukhov, Ilya A. Mkrtchan
Publikováno v:
IEEE Access, Vol 9, Pp 82318-82324 (2021)
Modern computational tasks are often required to not only guarantee predefined accuracy, but get the result fast. Optimizing calculations using floating point numbers, as opposed to integers, is a non-trivial task. For this reason, there is a need to
Externí odkaz:
https://doaj.org/article/c7227fd8ac434bfbbc8012a55a6ede14
Publikováno v:
2022 International Siberian Conference on Control and Communications (SIBCON).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::541902309c3302778718ba04a050a981
https://doi.org/10.1109/sibcon56144.2022.10003026
https://doi.org/10.1109/sibcon56144.2022.10003026
Autor:
Ilia V. Lariushkin, Dmitry Telpukhov, I. I. Romanova, Georgy E. Novoselov, Ilya A. Mkrtchan, A.L. Stempkovsky, Aleksandr Yu. Romanov, Vladimir A. Starykh, Roman A. Solovyev
Publikováno v:
IEEE Access, Vol 9, Pp 82318-82324 (2021)
Modern computational tasks are often required to not only guarantee predefined accuracy, but get the result fast. Optimizing calculations using floating point numbers, as opposed to integers, is a non-trivial task. For this reason, there is a need to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b806cbab3b19f7569d5c8979f35dddbb
https://doi.org/10.1109/access.2021.3086669
https://doi.org/10.1109/access.2021.3086669
Publikováno v:
2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (ElConRus).
the paper proposes methodology for transferring architecture of modern neural network CenterNet to FPGA. CenterNet is a OneStage object detector that is used to detect and locate objects in images. Although this neural network has simple decoder, it
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c32f517254ee82d458c2b71988022873
https://doi.org/10.1109/elconrus51938.2021.9396702
https://doi.org/10.1109/elconrus51938.2021.9396702
Autor:
Dmitry Telpukhov, Alexander Stempkovskiy, Roman Soloviev, Ilya A. Mkrtchan, Alexander L. Kustov
Publikováno v:
2020 Moscow Workshop on Electronic and Networking Technologies (MWENT).
The paper examines the use of residue number system (RNS) for hardware implementation of neural networks based on VLSI or FPGA. Widely known mobile neural networks that are highly accurate and best suited for implementation at hardware level have bee
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3f5b44cc4d6f35005469969b1c9eaa71
https://doi.org/10.1109/mwent47943.2020.9067498
https://doi.org/10.1109/mwent47943.2020.9067498