Digital Library[ Search Result ]
An Automatic Parameter Optimizing Scheme for RocksDB
Jiwon Kim, Hyeonmyeong Lee, Sungmin Jung, Heeseung Jo
http://doi.org/10.5626/JOK.2021.48.11.1167
For users with low understanding of application, it is very difficult to optimize a complex application. Leading studies that optimize application using one or two parameters can enhance the performance of an application. However, it is difficult to consider the relationship between various parameters using a single parameter optimization. In this paper, we proposed two techniques, LDH-Force and PF-LDH, that could optimize several parameters at the same time. The LDH-Force technique could efficiently reduce the number of searches by adding an LDH process, while simultaneously finding the optimal parameter combination for several parameters. The PF-LDH technique could further reduce the search cost by adding a filtering process and confirming that the degree to which the parameter affects the performance is different. Evaluation results confirmed that the proposed scheme had performance improvement of up to 42.55 times. The proposed scheme was able to find the optimal parameter combination at the lowest search cost without user intervention under various workloads.
Adjusting OS Scheduler Parameters to Improve Server Application Performance
Taehyun Han, Hyeonmyeong Lee, Heeseung Jo
http://doi.org/10.5626/JOK.2020.47.7.643
Modern Linux servers are used in a variety of ways, from large servers to small IOTs, and most machines run their services through the default scheduler provided by Linux. Although it is possible to optimize for a specific purpose, there is a problem in which the average user cannot optimize all modern Linux applications. In this paper, we propose SCHEDTUNE to automatically optimize the scheduler configuration to maximize Linux server performance. SCHEDTUNE allows users to improve performance without modification to the application or basic kernel source running on the server. This makes it easy for administrators to configure schedulers that operate specifically for their servers. Experimental results showed that when SCHEDTUNE is applied, the maximum performance is achieved up to 19 %, and in most cases performance improvement is achieved as well.
PARPA: A Parallel Framework Simultaneously Using Heterogeneous Architecture for High Performance Computing
Hyojae Cho, Taehyun Han, Hyeonmyeong Lee, Heeseung Jo
http://doi.org/10.5626/JOK.2019.46.9.876
With the substantial performance improvements achieved in GPU, they have come to be commonly used not only in computer graphics but also in high performance computing. Simply using a CPU and a GPU concurrently is not difficult. However, distributing works and adjusting the computing ratio among these heterogeneous processors are challenging issues. We propose a novel framework in this paper, named PARPA, which automatically distributes and processes tasks to a CPU and a GPU. PARPA can maximize computation performance by using a CPU and a GPU simultaneously. The load balancing between them can be performed dynamically based on their usage and features. The evaluation results indicate that PARPA shows 3.48 times better performance.
Search
Journal of KIISE
- ISSN : 2383-630X(Print)
- ISSN : 2383-6296(Electronic)
- KCI Accredited Journal
Editorial Office
- Tel. +82-2-588-9240
- Fax. +82-2-521-1352
- E-mail. chwoo@kiise.or.kr