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Autockt: Deep reinforcement learning of analog circuit designs
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 …
the need for agile development of Systems on a Chip (SoCs). While digital subsystems have …
Automated design of analog circuits using reinforcement learning
K Settaluri, Z Liu, R Khurana, A Mirhaj… - … on Computer-Aided …, 2021 - ieeexplore.ieee.org
Analog and mixed-signal (AMS) blocks are often a crucial and time-consuming part of
System-on-Chip (SoC) design, primarily due to a manual circuit and layout iterations …
System-on-Chip (SoC) design, primarily due to a manual circuit and layout iterations …
RobustAnalog: Fast variation-aware analog circuit design via multi-task RL
Analog/mixed-signal circuit design is one of the most complex and time-consuming stages in
the whole chip design process. Due to various process, voltage, and temperature (PVT) …
the whole chip design process. Due to various process, voltage, and temperature (PVT) …
Automated topology synthesis of analog and RF integrated circuits: A survey
SE Sorkhabi, L Zhang - Integration, 2017 - Elsevier
The puzzle of automatically synthesizing analog and radio frequency (RF) circuit topology
has not yet been offered with an industrially-acceptable solution although endeavors still …
has not yet been offered with an industrially-acceptable solution although endeavors still …
Optimisation of photodetectors design: comparison between montecarlo and genetic algorithms
We present Montecarlo and Genetic Algorithm optimisations applied to the design of
photodetectors based on a transimpedance amplifier and a photodiode. The circuit …
photodetectors based on a transimpedance amplifier and a photodiode. The circuit …
[HTML][HTML] A novel framework of genetic algorithm and spectre to optimize delay and power consumption in designing dynamic comparators
HT Nguyen, T Hoang - Electronics, 2023 - mdpi.com
In integrated circuit (IC) design, analog circuits contribute significantly as the interface
between real and digital world signals. Although they make up a relatively small portion of …
between real and digital world signals. Although they make up a relatively small portion of …
[HTML][HTML] Improvement in Sizing Constrained Analog IC via Ts-CPD Algorithm
P Lagos-Eulogio, P Miranda-Romagnoli… - Computation, 2023 - mdpi.com
In this work, we propose a variation of the cellular particle swarm optimization algorithm with
differential evolution hybridization (CPSO-DE) to include constrained optimization, named …
differential evolution hybridization (CPSO-DE) to include constrained optimization, named …
Analog circuit design with Dyna-style reinforcement learning
W Lee, FA Oliehoek - arxiv preprint arxiv:2011.07665, 2020 - arxiv.org
In this work, we present a learning based approach to analog circuit design, where the goal
is to optimize circuit performance subject to certain design constraints. One of the aspects …
is to optimize circuit performance subject to certain design constraints. One of the aspects …
LEDRO: LLM-Enhanced Design Space Reduction and Optimization for Analog Circuits
DV Kochar, H Wang, A Chandrakasan… - arxiv preprint arxiv …, 2024 - arxiv.org
Traditional approaches for designing analog circuits are time-consuming and require
significant human expertise. Existing automation efforts using methods like Bayesian …
significant human expertise. Existing automation efforts using methods like Bayesian …
[PDF][PDF] Comparative study of power consumption minimization in analog electronic circuit using AI techniques
K Singhal, GR Goyal - European Journal of Electrical Engineering, 2018 - researchgate.net
Analog electronics plays an important role in modernization of any electrical or electronic
system. In designing of analog electronic circuit's power consumption problem is very …
system. In designing of analog electronic circuit's power consumption problem is very …