Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Angel Lopez Garcia-Arias"'
Autor:
Junnosuke Suzuki, Jaehoon Yu, Mari Yasunaga, Angel Lopez Garcia-Arias, Yasuyuki Okoshi, Shungo Kumazawa, Kota Ando, Kazushi Kawamura, Thiem Van Chu, Masato Motomura
Publikováno v:
IEEE Access, Vol 12, Pp 2057-2073 (2024)
With the widespread adoption of edge AI, the diversity of application requirements and fluctuating computational demands present significant challenges. Conventional accelerators suffer from increased memory footprints due to the need for multiple mo
Externí odkaz:
https://doaj.org/article/d7aa8884e28346a9bcfad7530e418021
Publikováno v:
IEEE Access, Vol 11, Pp 16588-16604 (2023)
Accurate neural networks can be found just by pruning a randomly initialized overparameterized model, leaving out the need for any weight optimization. The resulting subnetworks are small, sparse, and ternary, making excellent candidates for efficien
Externí odkaz:
https://doaj.org/article/0817fb22196e41d682ca86606a1bb546
Autor:
Kazutoshi Hirose, Jaehoon Yu, Kota Ando, Yasuyuki Okoshi, Angel Lopez Garcia-Arias, Junnosuke Suzuki, Thiem Van Chu, Kazushi Kawamura, Masato Motomura
Publikováno v:
2022 IEEE International Solid- State Circuits Conference (ISSCC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::55a4eb26dbd18507e39a3ba58245b64a
https://doi.org/10.1109/isscc42614.2022.9731668
https://doi.org/10.1109/isscc42614.2022.9731668
Autor:
Angel Lopez Garcia-Arias, Tobias Alonso, Jorge E. López de Vergara, Mario Ruiz, Gustavo Sutter
Publikováno v:
FPL
In this paper, we present an efficient hardwareimplementation of a video encoder optimized for ultra low-latency, using the Logarithmic Hop Encoding algorithm. This design provides the following features: (i) A maximum marginal output latency of 23 c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::13db6fce9269ce5678d55d7cb43fee55
https://doi.org/10.1109/fpl.2018.00067
https://doi.org/10.1109/fpl.2018.00067
Publikováno v:
Scopus-Elsevier
ISCAS
ISCAS
High-performance image classification models involve massive computation and an energy cost that are unaffordable for resource-limited platforms. As a solution, reservoir computing based on cellular automata has been proposed, but there is still room
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9e652b8bd1d02f4baac65e5dc3d85d83
http://www.scopus.com/inward/record.url?eid=2-s2.0-85109256773&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-85109256773&partnerID=MN8TOARS
