Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Geunsik Lim"'
Publikováno v:
Oxide-based Materials and Devices XIV.
Publikováno v:
Fiber Optic Sensors and Applications XVIII.
Publikováno v:
KIISE Transactions on Computing Practices. 26:12-19
최근 훈련 및 추론의 실행이 사용자 단말로 확산되고 있으며, 이를 온디바이스 AI라고 부르고 있다. 다양한 온디바이스 AI 응용과 기기들이 등장함에 따라 지속적인 코드 통합과 배포를 보다
Autor:
Jeffrey K. Wuenschell, Subhabrata Bera, Geunsik Lim, Juddha Thapa, Michael Buric, Benjamin Chorpening
Publikováno v:
Photonic Instrumentation Engineering IX.
Publikováno v:
KIISE Transactions on Computing Practices. 25:616-621
운영체제 기술은 전통적으로 고성능 컴퓨팅 환경을 기반으로 발전해 왔으며, 최근의 운영체제들은 운영체제 내부의 쓰레드 간 성능 간섭을 줄이기 위해 주로 1:1 쓰레드 모델을 채택하고 있
This paper suggests a new memory partitioning scheme that can enhance process lifecycle, while avoiding Low Memory Killer and Out-of-Memory Killer operations on mobile devices. Our proposed scheme offers the complete concept of virtual memory nodes i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec5fdbc7b9fcc319ffa6671ff62be05e
http://arxiv.org/abs/2101.10707
http://arxiv.org/abs/2101.10707
Publikováno v:
GCCE
The power management techniques to extend battery lifespan is becoming increasingly important due to longer user applications' running time in mobile devices. Even when users do not use any applications, battery lifespan decreases continually. It occ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b3da1c991a93dfae70b3b5362a5f608e
http://arxiv.org/abs/2101.08885
http://arxiv.org/abs/2101.08885
The idle time of personal computers has increased steadily due to the generalization of computer usage and cloud computing. Clustering research aims at utilizing idle computer resources for processing a variable workload on a large number of computer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b9b8fcd87ed44eeccf5261c9abd19259
http://arxiv.org/abs/2101.08887
http://arxiv.org/abs/2101.08887
Most modern operating systems have adopted the one-to-one thread model to support fast execution of threads in both multi-core and single-core systems. This thread model, which maps the kernel-space and user-space threads in a one-to-one manner, supp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::317f08620e76dc2564ed915a6b1e3212
http://arxiv.org/abs/2101.08062
http://arxiv.org/abs/2101.08062
Autor:
Yongjoo Ahn, Geunsik Lim, Dongju Chae, MyungJoo Ham, Hyoungjoo Ahn, Jaeyun Jung, Gichan Jang, Wook Song, Ji-Hoon Lee, Ji-Joong Moon, Parichay Kapoor, Sangjung Woo
Publikováno v:
ICSE (SEIP)
We propose NNStreamer, a software system that handles neural networks as filters of stream pipelines, applying the stream processing paradigm to deep neural network applications. A new trend with the wide-spread of deep neural network applications is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bcb6616e3dccf506213510dc225ff3b8
http://arxiv.org/abs/2101.06371
http://arxiv.org/abs/2101.06371