Layout Automation Techniques to Optimize Time-to-Market Factor

G S Meghana; Sheetal Kochrekar; Poornima Venkatasubramanian

Research Article

Layout Automation Techniques to Optimize Time-to-Market Factor

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@ARTICLE{10.4108/eai.16-7-2019.162216,
    author={G S Aishwarya Meghana and Sheetal Y Kochrekar and Poornima Venkatasubramanian},
    title={Layout Automation Techniques to Optimize Time-to-Market Factor},
    journal={EAI Endorsed Transactions on Cloud Systems},
    volume={5},
    number={15},
    publisher={EAI},
    journal_a={CS},
    year={2019},
    month={7},
    keywords={Automation, Layout, Time to Market, IP, Sensors, IoT, Mobiles},
    doi={10.4108/eai.16-7-2019.162216}
}

G S Aishwarya Meghana
Sheetal Y Kochrekar
Poornima Venkatasubramanian
Year: 2019
Layout Automation Techniques to Optimize Time-to-Market Factor
CS
EAI
DOI: 10.4108/eai.16-7-2019.162216

G S Aishwarya Meghana¹, Sheetal Y Kochrekar¹, Poornima Venkatasubramanian¹^,*

1: Design Enablement (DE), Samsung Semiconductor India Research (SSIR), Bangalore, India

*Contact email: p.venkatasub@samsung.com

Abstract

With the ever growing demand for IPs in the domain of mobiles, 5G, and sensors for wearables and IoT applications, time to market becomes a crucial factor. There is always a need for delivering IPs to the competitive market in very less time without compromising on the quality. This necessitates the development of a reliable automation technique that can be easily integrated into the design cycle and Quality assurance flow of an IP. In this paper, we propose a generic automation flow for generating seed layouts for any technology node. The proposed flow reduces manual efforts and improves overall productivity.

Keywords: Automation, Layout, Time to Market, IP, Sensors, IoT, Mobiles

Received: 2nd Jun 2019
Accepted: 29th Jun 2019
Published: 16th Jul 2019
Publisher: EAI

: http://dx.doi.org/10.4108/eai.16-7-2019.162216

Copyright © 2019 G S Aishwarya Meghana et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.