Zobrazeno 1 - 5
of 5
pro vyhledávání: '"JEONGYOON EO"'
Autor:
Joo Yeon Kim, Youngseok Yang, Won Wook Song, Haeyoon Cho, Byung-Gon Chun, Taegeon Um, Sanha Lee, Jeongyoon Eo, Gyewon Lee, Jangho Seo
Publikováno v:
ACM Transactions on Computer Systems. 38:1-31
Optimizing scheduling and communication of distributed data processing for resource and data characteristics is crucial for achieving high performance. Existing approaches to such optimizations largely fall into two categories. First, distributed run
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f9081097b197ffbd56d03885f0c814d3
https://doi.org/10.1145/3468144
https://doi.org/10.1145/3468144
Publikováno v:
IEEE Transactions on Computers. 67:1007-1022
Recent parallel programming frameworks such as OpenCL and OpenMP allow us to enjoy the parallelization freedom for real-time tasks. The parallelization freedom creates the time versus density tradeoff problem in fluid scheduling, i.e., more paralleli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ddbc9563b478bf2a12baff7cfd3c9f3b
https://doi.org/10.1109/tc.2018.2793919
https://doi.org/10.1109/tc.2018.2793919
Publikováno v:
Cyber Physical Systems. Design, Modeling, and Evaluation ISBN: 9783030179090
CyPhy
CyPhy
Mixed-criticality systems integrate tasks with various levels of criticality onto the same hardware platform. Critical tasks require tight bounding of worst case latency at any cost, yet for non-critical tasks it is important to provide high performa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6792f2220b395fc6b802539078d7d935
https://doi.org/10.1007/978-3-030-17910-6_3
https://doi.org/10.1007/978-3-030-17910-6_3
Autor:
WON WOOK SONG, YOUNGSEOK YANG, JEONGYOON EO, JANGHO SEO, JOO YEON KIM, SANHA LEE, GYEWON LEE, TAEGEON UM, HAEYOON CHO, BYUNG-GON CHUN
Publikováno v:
ACM Transactions on Computer Systems; Oct2021, Vol. 38 Issue 4, p1-31, 31p
Publikováno v:
APSys
Stream processing has been widely used in big data analytics because it provides real-time information on continuously incoming data streams with low latency. As the volume of data increases and the processing logic becomes more complicated, the size
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d5139a92b8fde43595c74ef6b2308a2
https://doi.org/10.1145/3265723.3265739
https://doi.org/10.1145/3265723.3265739