Effective IP protection method of mask data using OASIS format

Kuninori Nishizawa; Masakazu Endo; Kokoro Kato

doi:10.1117/12.617152

28 June 2005 Effective IP protection method of mask data using OASIS format

Kuninori Nishizawa, Masakazu Endo, Kokoro Kato

Author Affiliations +

Proceedings Volume 5853, Photomask and Next-Generation Lithography Mask Technology XII; (2005) https://doi.org/10.1117/12.617152
Event: Photomask and Next Generation Lithography Mask Technology XII, 2005, Yokohama, Japan

Abstract

We have been developing intellectual properties (IP) protection software using OASIS format. In the Photomask Technology 2004 we presented that by taking advantage of repetition presentation of OASIS, it becomes possible to express arrayed patterns without any generation of new cells, which also brings less overhead and further compaction of the result file. As a result, we could rebuild the hierarchy without cell generation and reduce the output file size. In this paper, additionally we have applied a unique compression function CBLOCK defined in OASIS format. CBLOCK can compress any part of OASIS file. The experimental results show that there are no redundant cells generated and the file size has become approximately 20 times smaller than conventional methods.

Citation Download Citation

Kuninori Nishizawa, Masakazu Endo, and Kokoro Kato "Effective IP protection method of mask data using OASIS format", Proc. SPIE 5853, Photomask and Next-Generation Lithography Mask Technology XII, (28 June 2005); https://doi.org/10.1117/12.617152

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE