Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Seunghyup Han"'
Publikováno v:
IEEE Access, Vol 8, Pp 197875-197884 (2020)
Computation of maximum voltage droop in power delivery networks is important for performance estimation. This article proposes a methodology to predict the maximum voltage droop caused by current sources in ICs. We derive the analytical relations and
Externí odkaz:
https://doaj.org/article/5e8ecd8980484c3f9012bcc0cad2ed65
Publikováno v:
IEEE Transactions on Components, Packaging and Manufacturing Technology. 12:828-838
Publikováno v:
2022 IEEE 31st Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS).
Publikováno v:
IEEE Access, Vol 8, Pp 197875-197884 (2020)
Computation of maximum voltage droop in power delivery networks is important for performance estimation. This article proposes a methodology to predict the maximum voltage droop caused by current sources in ICs. We derive the analytical relations and
Publikováno v:
2021 IEEE International Joint EMC/SI/PI and EMC Europe Symposium.
This paper proposes an advantage actor–critic (A2C) reinforcement learning (RL)–based method for the optimization of decoupling capacitor (decap) design. Unlike the previous RL-based methods used for the selection of decap types or decap placemen
Autor:
Seunghyup Han, Madhavan Swaminathan
Publikováno v:
2020 IEEE 29th Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS).
This paper proposes a non-random exploration based method to optimize the response of power delivery network (PDN) using the minimum number of capacitors. Unlike previous optimization methods which are based on either full search or random exploratio