Digital Library
Search: "[ keyword: Performance ]" (111)
Bottleneck-Free Architecture of A High Speed Printer
Kang Woo Lee The KIPS Transactions:PartA,
Vol. 11, No. 3, pp. 115-128,
Jun.
2004
10.3745/KIPSTA.2004.11.3.115
10.3745/KIPSTA.2004.11.3.115
Performance Management Technique of Remote VR Service for Multiple Users in Container-Based Cloud Environments Sharing GPU
Jihun Kang KIPS Transactions on Computer and Communication Systems,
Vol. 11, No. 1, pp. 9-22,
Jan.
2022
https://doi.org/10.3745/KTCCS.2022.11.1.9
Keywords: Cloud computing, Container, Virtual Reality Service, Performance isolation
https://doi.org/10.3745/KTCCS.2022.11.1.9
Keywords: Cloud computing, Container, Virtual Reality Service, Performance isolation
Performance Analysis of QUIC Protocol for Web and Streaming Services
Hye-Been Nam, Joong-Hwa Jung, Dong-Kyu Choi, Seok-Joo Koh KIPS Transactions on Computer and Communication Systems,
Vol. 10, No. 5, pp. 137-144,
May.
2021
https://doi.org/10.3745/KTCCS.2021.10.5.137
Keywords: QUIC, SCTP, TCP, Performance Analysis, Web, Streaming
https://doi.org/10.3745/KTCCS.2021.10.5.137
Keywords: QUIC, SCTP, TCP, Performance Analysis, Web, Streaming
Performance Evaluation of Request Scheduling Techniques in the Linux Cluster Web Server
Lee Gyu Han , Lee Jong U , Lee Jae Won , Kim Seong Dong , Chae Jin Seog The KIPS Transactions:PartA,
Vol. 10, No. 4, pp. 285-294,
Oct.
2003
10.3745/KIPSTA.2003.10.4.285
10.3745/KIPSTA.2003.10.4.285
A Comparative Study of Machine Learning Algorithms Based on Tensorflow for Data Prediction
Qalab E. Abbas, Sung-Bong Jang KIPS Transactions on Computer and Communication Systems,
Vol. 10, No. 3, pp. 71-80,
Mar.
2021
https://doi.org/10.3745/KTCCS.2021.10.3.71
Keywords: Artificial Neural Network Algorithm, Machine Learning, Data Prediction, Learning Performance Comparison
https://doi.org/10.3745/KTCCS.2021.10.3.71
Keywords: Artificial Neural Network Algorithm, Machine Learning, Data Prediction, Learning Performance Comparison
Theoretical Performance Bounds and Parallelization of a Two-Dimensional Packing Algorithm
In Jae Hwang , Dong Kweon Hong The KIPS Transactions:PartA,
Vol. 10, No. 1, pp. 43-48,
Mar.
2003
10.3745/KIPSTA.2003.10.1.43
10.3745/KIPSTA.2003.10.1.43
A Study on Scalability of Profiling Method Based on Hardware Performance Counter for Optimal Execution of Supercomputer
Jieun Choi, Guenchul Park, Seungwoo Rho, Chan-Yeol Park KIPS Transactions on Computer and Communication Systems,
Vol. 9, No. 10, pp. 221-230,
Oct.
2020
https://doi.org/10.3745/KTCCS.2020.9.10.221
Keywords: Profiling, scalability, Supercomputer, Hardware Performance Counter, job scheduling
https://doi.org/10.3745/KTCCS.2020.9.10.221
Keywords: Profiling, scalability, Supercomputer, Hardware Performance Counter, job scheduling
Code Visualization Approach for Low level Power Improvement via Identifying Performance Dissipation
Hyun Sik An, Bokyung Park, R.Young Chul Kim, Ki Du Kim KIPS Transactions on Computer and Communication Systems,
Vol. 9, No. 10, pp. 213-220,
Oct.
2020
https://doi.org/10.3745/KTCCS.2020.9.10.213
Keywords: low power, Performance Visualization, Refactoring, Code Smell
https://doi.org/10.3745/KTCCS.2020.9.10.213
Keywords: low power, Performance Visualization, Refactoring, Code Smell
GPGPU Task Management Technique to Mitigate Performance Degradation of Virtual Machines due to GPU Operation in Cloud Environments
Jihun Kang, Joon-Min Gil KIPS Transactions on Computer and Communication Systems,
Vol. 9, No. 9, pp. 189-196,
Sep.
2020
https://doi.org/10.3745/KTCCS.2020.9.9.189
Keywords: GPU Virtualization, Performance isolation, Scheduling, Cloud, GPGPU Task Management
https://doi.org/10.3745/KTCCS.2020.9.9.189
Keywords: GPU Virtualization, Performance isolation, Scheduling, Cloud, GPGPU Task Management
The Design and Implementation of On-Line Performance Monitor for JaNeC
Myung Ho Kim , Nam Hoon Kim , Jae Young Choi The KIPS Transactions:PartA,
Vol. 9, No. 4, pp. 563-572,
Dec.
2002
10.3745/KIPSTA.2002.9.4.563
10.3745/KIPSTA.2002.9.4.563