Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Zishen Wan"'
Autor:
Muya Chang, Ashwin Sanjay Lele, Samuel D. Spetalnick, Brian Crafton, Shota Konno, Zishen Wan, Ashwin Bhat, Win-San Khwa, Yu-Der Chih, Meng-Fan Chang, Arijit Raychowdhury
Publikováno v:
2023 IEEE International Solid- State Circuits Conference (ISSCC).
Publikováno v:
Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design.
Autor:
Srivatsan Krishnan, Zishen Wan, Kshitij Bhardwaj, Paul Whatmough, Aleksandra Faust, Sabrina Neuman, Gu-Yeon Wei, David Brooks, Vijay Janapa Reddi
Publikováno v:
2022 55th IEEE/ACM International Symposium on Microarchitecture (MICRO).
Autor:
Brian Crafton, Zishen Wan, Samuel Spetalnick, Jong-Hyeok Yoon, Wei Wu, Carlos Tokunaga, Vivek De, Arijit Raychowdhury
Publikováno v:
Proceedings of the 59th ACM/IEEE Design Automation Conference.
Publikováno v:
Synthesis Lectures on Computer Architecture. 16:1-218
Autor:
Gu-Yeon Wei, Paul N. Whatmough, Vijay Janapa Reddi, Kshitij Bhardwaj, Aleksandra Faust, Zishen Wan, David Brooks, Srivatsan Krishnan
Publikováno v:
IEEE Computer Architecture Letters. 19:38-42
We introduce the “Formula-1” (F-1) roofline model to understand the role of computing in aerial autonomous machines. The model provides insights by exploiting the fundamental relationships between various components in an aerial robot, such as se
Publikováno v:
2022 27th Asia and South Pacific Design Automation Conference (ASP-DAC).
Publikováno v:
DAC
Learning-based navigation systems are widely used in autonomous applications, such as robotics, unmanned vehicles and drones. Specialized hardware accelerators have been proposed for high-performance and energy-efficiency for such navigational tasks.
Publikováno v:
AICAS
In our past few years' of commercial deployment experiences, we identify localization as a critical task in autonomous machine applications, and a great acceleration target. In this paper, based on the observation that the visual frontend is a major
Publikováno v:
AICAS
Stereo matching is a critical task for robot navigation and autonomous vehicles, providing the depth estimation of surroundings. Among all stereo matching algorithms, Efficient Large-scale Stereo (ELAS) offers one of the best tradeoffs between effici
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e207f9212f9d8a49e6573ed5c644b71
http://arxiv.org/abs/2104.05112
http://arxiv.org/abs/2104.05112