Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Siva Satyendra Sahoo"'
Autor:
Sudipta Das, Bhawana Kumari, Siva Satyendra Sahoo, Yukai Chen, James Myers, Dragomir Milojevic, Dwaipayan Biswas, Julien Ryckaert
Publikováno v:
IEEE Journal on Exploratory Solid-State Computational Devices and Circuits, Vol 10, Pp 67-74 (2024)
Scaling on-chip memory capacity is one of the primary approaches to mitigate memory wall bottlenecks. Various 2.5-D/3-D integration schemes, leveraging novel partitioning, are being actively explored to improve system performance. However, fine-grain
Externí odkaz:
https://doaj.org/article/f472f1cbd0464081935fd006f9f87a57
Publikováno v:
IEEE Access, Vol 9, Pp 103691-103708 (2021)
The high computational complexity, memory footprints, and energy requirements of machine learning models, such as Artificial Neural Networks (ANNs), hinder their deployment on resource-constrained embedded systems. Most state-of-the-art works have co
Externí odkaz:
https://doaj.org/article/e32c0e355666468c9d86d0a79bc04f26
Publikováno v:
Journal of Low Power Electronics and Applications, Vol 11, Iss 1, p 7 (2021)
With the advancement of technology scaling, multi/many-core platforms are getting more attention in embedded systems due to the ever-increasing performance requirements and power efficiency. This feature size scaling, along with architectural innovat
Externí odkaz:
https://doaj.org/article/257ccb61b71042ebaec4532c87df86f3
Publikováno v:
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 41:3239-3251
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::67a6b1c2347e12b362b3ba70ef8ed762
https://doi.org/10.1109/tcad.2021.3127867
https://doi.org/10.1109/tcad.2021.3127867
Publikováno v:
Proceedings of the Great Lakes Symposium on VLSI 2023.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f7991e2643c9ca1719b5dc2fc061f764
https://doi.org/10.1145/3583781.3590222
https://doi.org/10.1145/3583781.3590222
Publikováno v:
ACM Transactions on Embedded Computing Systems. 21:1-31
Approximate arithmetic operators, such as adders and multipliers, are increasingly used to satisfy the energy and performance requirements of resource-constrained embedded systems. However, most of the available approximate operators have an applicat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f0d94eb43c44b4d05f9d151c125538f7
https://doi.org/10.1145/3513262
https://doi.org/10.1145/3513262
Publikováno v:
Proceedings of the 28th Asia and South Pacific Design Automation Conference.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9179ec23e63f2118418a1ec854f26d1b
https://doi.org/10.1145/3566097.3567891
https://doi.org/10.1145/3566097.3567891
Publikováno v:
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 40:1754-1767
Reinforcement learning (RL), specifically $Q$ -learning, with human-like learning abilities to learn from experience without any a priori data, is being increasingly used in embedded systems in the field of control and navigation. However, finding th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb2f4bd16156a61f1ba38b4130ab514b
https://doi.org/10.1109/tcad.2020.3028350
https://doi.org/10.1109/tcad.2020.3028350
Publikováno v:
2022 25th Euromicro Conference on Digital System Design (DSD).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::346ae657f0bc5311f360e4aba7f80c65
https://doi.org/10.1109/dsd57027.2022.00037
https://doi.org/10.1109/dsd57027.2022.00037
Publikováno v:
IEEE Transactions on Computers. 70:384-392
Multiplication is one of the most extensively used arithmetic operations in a wide range of applications. In order to provide resource-efficient and high-performance multipliers, previous works have proposed different designs of accurate and approxim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db5021545ca760e1e0807fbc2159eecd
https://doi.org/10.1109/tc.2020.2988404
https://doi.org/10.1109/tc.2020.2988404