Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Duseok Kang"'
Publikováno v:
IEEE Access, Vol 8, Pp 43980-43991 (2020)
As the need for on-device machine learning is increasing recently, embedded devices tend to be equipped with heterogeneous processors that include a multi-core CPU, a GPU, and/or a DNN accelerator called a Neural Processing Unit (NPU). In the schedul
Externí odkaz:
https://doaj.org/article/ccf78495ed0842e2835365a98b8204b8
Publikováno v:
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 41:4826-4836
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b3213e9e3cce1a532c89fd75bcad21a1
https://doi.org/10.1109/tcad.2021.3134843
https://doi.org/10.1109/tcad.2021.3134843
Publikováno v:
IEEE Transactions on Computers. 71:1181-1193
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::05b9976a8df9f49174d10e203893f2d7
https://doi.org/10.1109/tc.2021.3076987
https://doi.org/10.1109/tc.2021.3076987
Publikováno v:
2022 23rd International Symposium on Quality Electronic Design (ISQED).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dcd463cec68d5688bb806b1a2daf4062
https://doi.org/10.1109/isqed54688.2022.9806203
https://doi.org/10.1109/isqed54688.2022.9806203
Publikováno v:
Low-Power Computer Vision ISBN: 9781003162810
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::42457bb0b6d515f4d15a2b501a5166e6
https://doi.org/10.1201/9781003162810-9
https://doi.org/10.1201/9781003162810-9
Publikováno v:
KIISE Transactions on Computing Practices. 22:1-7
When multiple applications are running concurrently on a multi-processor system, interferences between applications make it difficult to guarantee real-time constraints. We propose a novel interference analysis technique that allows sharing of share
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b0a16a29055ab678cf2bad931e5f05c
https://doi.org/10.5626/ktcp.2016.22.1.1
https://doi.org/10.5626/ktcp.2016.22.1.1
Publikováno v:
ICCAD
Executing deep learning algorithms on mobile embedded devices is challenging because embedded devices usually have tight constraints on the computational power, memory size, and energy consumption while the resource requirements of deep learning algo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ce2476ee420aa8fa4d7b605c1661c754
https://doi.org/10.1145/3240765.3240786
https://doi.org/10.1145/3240765.3240786
Publikováno v:
DATE
This paper presents the image recognition system that won the first prize in the LPIRC (Low Power Image Recognition Challenge) in 2017. The goal of the challenge is to maximize the ratio between the accuracy and energy consumption within a time limit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::72c0ece633b8c75bf4d6299a1975bff6
https://doi.org/10.23919/date.2018.8342102
https://doi.org/10.23919/date.2018.8342102
Autor:
Barend Harris, Mansureh S. Moghaddam, Duseok Kang, Inpyo Bae, Euiseok Kim, Hyemi Min, Hansu Cho, Sukjin Kim, Bernhard Egger, Soonhoi Ha, Kiyoung Choi
Publikováno v:
2018 23rd Asia and South Pacific Design Automation Conference (ASP-DAC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::048eef4bb56b7b75d83cc77d9028b001
https://doi.org/10.1109/aspdac.2018.8297379
https://doi.org/10.1109/aspdac.2018.8297379
Autor:
Kiyoung Choi, Hyemi Min, Sukjin Kim, Mansureh S. Moghaddam, Barend Harris, Soonhoi Ha, Duseok Kang, Inpyo Bae, Euiseok Kim, Bernhard Egger, Hansu Cho
Publikováno v:
CASES
This paper presents a convolutional neural network architecture that supports transfer learning for user customization. The architecture consists of a large basic inference engine and a small augmenting engine. Initially, both engines are trained usi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::423e322ef8c985a90a6eb1af7daabb28
https://doi.org/10.1145/3125501.3125519
https://doi.org/10.1145/3125501.3125519