• International journal of advanced smart convergence
• /
• v.8 no.1
• /
• pp.9-17
• /
• 2019

In this article, we present a performance enhancement scheme for mobile applications by adopting persistent memory. The proposed scheme supports the deadline guarantee of real-time applications like a video player, and also provides reasonable performances for non-real-time applications. To do so, we analyze the program execution path of mobile software platforms and find two sources of unpredictable time delays that make the deadline-guarantee of real-time applications difficult. The first is the irregular activation of garbage collection in flash storage and the second is the blocking and time-slice based scheduling used in mobile platforms. We resolve these two issues by adopting high performance persistent memory as the storage of real-time applications. By maintaining real-time applications and their data in persistent memory, I/O latency can become predictable because persistent memory does not need garbage collection. Also, we present a new scheduler that exclusively allocates a processor core to a real-time application. Although processor cycles can be wasted while a real-time application performs I/O, we depict that the processor utilization is not degraded significantly due to the acceleration of I/O by adopting persistent memory. Simulation experiments show that the proposed scheme improves the deadline misses of real-time applications by 90% in comparison with the legacy I/O scheme used in mobile systems.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2012.11a
• /
• pp.197-199
• /
• 2012

Recently, a lot of general-purpose application programs in addition to graphic applications have been parallelized for boosting their performance using Graphic Processing Unit (GPU)'s excellent floating-point performance. In order to maximize the application performance on GPUs, optimizing the memory hierarchy and the on-chip caches such as the shared memory is essential. In this paper, we propose techniques to optimize the shared memory, and verify its effectiveness using a pattern matching application program.

• Journal of Korea Society of Digital Industry and Information Management
• /
• v.5 no.4
• /
• pp.19-26
• /
• 2009

Recently, the Main Memory DBMS is gradually being expanded by the appearance of a large capacity of a Main Memory System, the increase in business area where it requires a real time process, and the rise of the users' required level. The Main Memory DBMS, which is able to go through a large capacity data process of the disk-based DBMS and guarantees a high efficiency, has domestically developed and has been put to a practical use. This paper presents an examination of the applied technologies and the limits of Altibase system, which is Main Memory DBMS. Moreover, it evaluated and performed a comparative analysis on the performance level of the Main Memory DBMS and the disk-based DBMS based on the same application. After five trials of the experiment based on the operating application, it was confirmed that the performance level of the Main Memory DBMS is enhanced and is higher by 4.13 to 7.89 times than the disk-based DBMS.

• Proceedings of the IEEK Conference
• /
• 1998.10a
• /
• pp.233-236
• /
• 1998

In this paper, we present a novel approach named a shared library as an active memory object for application software development of large-scale real-time systems. Unlike the general passive shared memory, shared library proposed in this paper can be activated as an execution object. Moreover this is not tightly coupled with application programs unlike the normal libraries. To implement this mechanism, operating system makes the shared memory as an active object and shared library realizes the indirect call structure. This mechanism enhanced the utilization of main memory and communication performance. And this is successfully applied to the HANbit ACE ATM switching system and the TDX-10 switching system.

• The Transactions of the Korean Institute of Electrical Engineers
• /
• v.41 no.7
• /
• pp.784-792
• /
• 1992

In this paper we design and implement a method for application programs to allow handling of large data files in DOS environment. In this method we use extended memory and hard disk as a data buffer. And we use a part of the conventional DOS memory as a buffer cache which allows the application program to use extended memory and hard disks transparently. Using buffer cache also allows us some speed improvement for the application program.

• Proceedings of the KIEE Conference
• /
• 1991.11a
• /
• pp.185-188
• /
• 1991

In this paper we have designed and implemented a method of using extended memory and hard disk space as a data buffer for application programs to allow handling of large data files in DOS environment. We use a part of the conventional DOS memory as a buffer cache which allows the application program to use extended memory and hard disks transparently. Using buffer cache also allows some speed improvement for the application program. We have also implemented a number of functions to allow easier handling of pointer operations used by application programs.

• Proceedings of the IEEK Conference
• /
• 1999.11a
• /
• pp.360-363
• /
• 1999

Video data compression is a major key technology in the field of multimedia applications. Variable-length coding is the most popular data compression technique which has been used in many data compression standards, such as JPEG, MPEG and image data compression standards, etc. In this paper, we present memory efficient VLC decoder architecture for MPEG-2 application which can achieve small memory space and higher throughput. To reduce the memory size, we propose a new grouping, remainder generation method and merged lookup table (LUT) for variable length decoders (VLD's). In the MPEG-2, the discrete cosine transform (DCT) coefficient table zero and one are mapped onto one memory whose space requirement has been minimized by using efficient memory mapping strategy The proposed memory size is only 256 words in spite of mapping two DCT coefficient tables.

• Therapeutic Science for Rehabilitation
• /
• v.3 no.1
• /
• pp.57-65
• /
• 2014

Objective : In this study, to investigate the effect of Attention and Memory using a smart phone application intervention for stroke patients. Methods : single-subject experimental research was conducted using an ABA design. During the study, subject was applied to a total of 20 sessions with five times baseline, ten times intervention line, five times re-baseline. baseline and re-baseline did not have a separate intervention. During the intervetion line was trained by the application 'Master of memory(Numbers, Shapes, Fruits mode)' and 'Matching cute animals'. All sessions were evaluated an Attention and Memory using by 'Master of memory(Random mode)' and 'Memory free(Picture memory)' application. The resulting data was presented in graphs and descriptive statistics. Results : Implemented in all session, Attention and Memory assessment results showed the improvement of Attention and Memory in intervention line. Assessments conducted before and after the intervention, showed the improvement of Attention and Memory after the evaluation of interventions respectively. Conclusion : The results of this study are expected to be clinically useful. Follow-up studies on smart phone application intervention are needed for more targeted sampling study and conducted over a long period of time.

• Journal of the Korean Data and Information Science Society
• /
• v.26 no.5
• /
• pp.1035-1045
• /
• 2015

Recent studies in Big Data Analysis are showing promising results, utilizing the main memory for rapid data processing. In-memory computing technology can be highly advantageous when used with high-performing servers having tens of gigabytes of RAM with multi-core processors. The constraint in network in these infrastructure can be lessen by combining in-memory technology with distributed parallel processing. This paper discusses the research in the aforementioned concept applying to a test taxi hailing application without disregard to its underlying RDBMS structure. The application of IMDG technology in the application's backend API without restructuring the database schema yields 6 to 9 times increase in performance in data processing and throughput. Specifically, the change in throughput is very small even with increase in data load processing.

• Proceedings of the KSRS Conference
• /
• 2003.11a
• /
• pp.499-501
• /
• 2003

As semiconductor memory becomes cheaper, the memory capacity of computer system is increasing. Therefore computer system has sufficient memory for a plentiful spatial data. With emerging spatial application required high performance, this paper presents a GIS database system in main memory. Memory residence can provide both functionality and performance for a database management system. This paper describes design of DBMS for storing, querying, managing and analyzing for spatial and non-spatial data in main-memory. This memory resident GIS DBMS supports SQL for spatial query, spatial data model, spatial index and interface for GIS tool or applications.