Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Kourosh Hakhamaneshi"'
Publikováno v:
Sixteenth ACM Conference on Recommender Systems.
Publikováno v:
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. :1-1
Being able to predict the performance of circuits without running expensive simulations is a desired capability that can catalyze automated design. In this paper, we present a supervised pretraining approach to learn circuit representations that can
Publikováno v:
DATE
Domain specialization under energy constraints in deeply-scaled CMOS has been driving the need for agile development of Systems on a Chip (SoCs). While digital subsystems have design flows that are conducive to rapid iterations from specification to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9d7950b8c5e3cd478442f77958b96317
Publikováno v:
ICCAD
The discrepancy between post-layout and schematic simulation results continues to widen in analog design due in part to the domination of layout parasitics. This paradigm shift is forcing designers to adopt design methodologies that seamlessly integr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab7ec50ba8684611b9768edffb0e9ffd
http://arxiv.org/abs/1907.10515
http://arxiv.org/abs/1907.10515
Publikováno v:
DAC
A deep neural network (DNN) based stochastic combinatorial optimization framework is presented that can find the optimal sizing of circuits in a sample-efficient manner. This sample efficiency allows us to unify this framework with generator-based to