Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Mohammed E. Elbtity"'
Publikováno v:
IEEE Transactions on Circuits and Systems I: Regular Papers. 69:5135-5146
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e38634a882899b4acbeea6f9adea7fd1
https://doi.org/10.1109/tcsi.2022.3206262
https://doi.org/10.1109/tcsi.2022.3206262
Publikováno v:
IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 12:867-877
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df5a1212aaa234937fe8dda2731577d2
https://doi.org/10.1109/jetcas.2022.3222966
https://doi.org/10.1109/jetcas.2022.3222966
Publikováno v:
Proceedings of the Great Lakes Symposium on VLSI 2023.
Tensor processing units (TPUs), specialized hardware accelerators for machine learning tasks, have shown significant performance improvements when executing convolutional layers in convolutional neural networks (CNNs). However, they struggle to maint
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4a9bd7b3854874c5c8359ab15bd4f228
https://doi.org/10.1145/3583781.3590256
https://doi.org/10.1145/3583781.3590256
With the increased attention to memristive-based in-memory analog computing (IMAC) architectures as an alternative for energy-hungry computer systems for machine learning applications, a tool that enables exploring their device- and circuit-level des
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5724bd879c3c8e85e658dd3b1aebac93
Publikováno v:
ISOCC
Convolutional Neural Networks (CNNs) for Artificial Intelligence (AI) algorithms have been widely used in many applications especially for image recognition. However, the growth in CNN-based image recognition applications raised challenge in executin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5f2cd5e74708aff8c2cd52e042f222fa
https://doi.org/10.1109/isocc50952.2020.9333013
https://doi.org/10.1109/isocc50952.2020.9333013
Autor:
Ahmed Emara, Ahmed G. Radwan, Noha Shaarawy, Mohammed E. Elbtity, Maged Ghoneima, A.M. El-Naggar
Publikováno v:
Microelectronics Journal. 73:75-85
In this paper, a Static Noise Margin (SNM) analysis for 2T2M RRAM cell is investigated. The proposed analysis is done using mathematical formulation and verified by SPICE simulations. The analysis is tested for both, write and read modes. Moreover, t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5415f49364dd54620620af9565c20ac9
https://doi.org/10.1016/j.mejo.2018.01.001
https://doi.org/10.1016/j.mejo.2018.01.001
Autor:
Ahmed G. Radwan, Mohammed E. Elbtity
Publikováno v:
ISCAS
Area and power consumption are the main challenges in Network on Chip (NoC). Indeed, First Input First Output (FIFO) memory is the key element in NoC. Increasing the FIFO depth, produces an increas in the performance of NoC but at the cost of area an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::abd476dc935bb637aa00656cacdac3aa
https://doi.org/10.1109/iscas.2018.8351645
https://doi.org/10.1109/iscas.2018.8351645