Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Darya Mikhailenko"'
Publikováno v:
IEEE Computer Architecture Letters. 19:143-146
Neural network (NN) inference is an essential part of modern systems and is found at the heart of numerous applications ranging from image recognition to natural language processing. In situ NN accelerators can efficiently perform NN inference using
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::408d72562ec1c3834164e1dcf0b909b2
https://doi.org/10.1109/lca.2020.3031907
https://doi.org/10.1109/lca.2020.3031907
Publikováno v:
ISCA
Data movement is a significant and growing consumer of energy in modern systems, from specialized low-power accelerators to GPUs with power budgets in the hundreds of Watts. Given the importance of the problem, prior work has proposed designing inter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c9afd8433e769b51c9e6a2228c568c8d
https://doi.org/10.1109/isca45697.2020.00091
https://doi.org/10.1109/isca45697.2020.00091
Autor:
Kuanysh Alipbayev, Timur Bopeyev, Meirbek Moldabekov, Darya Mikhailenko, Anna Sukhenko, Suleimen Yelubayev
Publikováno v:
Applied Mechanics and Materials. 798:297-302
The problem of development of the microsatellite attitude control system on the base of reaction wheels positioned along its principal central axes of inertia is considered in this article. As difference from the classical mathematical models describ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ccb75a5ab8093f83561997aac18852d8
https://doi.org/10.4028/www.scientific.net/amm.798.297
https://doi.org/10.4028/www.scientific.net/amm.798.297
Publikováno v:
ISCAS
The memristor crossbar array architecture can find a wide range of applications in the design of neuromorphic computing systems. The scalability of the arrays is important to extend the use in complex cognitive tasks. However, the creation of large-s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d067c0218baaea74ff2e1ecd5a35fa0
https://doi.org/10.1109/iscas.2018.8351112
https://doi.org/10.1109/iscas.2018.8351112