• Proceedings of the Korea Contents Association Conference
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• 2003.05a
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• pp.461-465
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• 2003

Grid-computing on networked computers is increasingly applied to the variety of large-scale computation problem. Several software systems are developed for providing the application programmers with computers available. However, these systems are not web-based systems, lacks a collaborative environment or do not supply the real-time visualization facility. Web technology is become the general technology on the development of network application, in particular, because the interface can be made platform independent. In this paper, we propose the web-based framework for executing the parallel SPMD application written MPI. Also, a web-based collaborative environment is development with a real-time visualization technology.

• Journal of the Korea Society of Computer and Information
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• v.13 no.3
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• pp.65-75
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• 2008

Grid Computing has enabled enormous amount of computational jobs by connecting distributed computing resources. This technology has developed and widely used in various fields. Previous researches usually focused on how to efficiently manage and use the grid resources. However, there was not enough tries to understand and manage information of application softwares in a well-defined structure. Therefore users in application domain need to how about grid deeply to identify and describe the resource requirements matching for each jobs. We introduce a semantic grid management system based on application ontology to overcome this problem. We design and implement the ontology to store various information of the applications. With the ontology, this system can infer the resource requirements from input parameters and input data of the application software and automatically assign appropriate resources by matching the requirement. Also it can transform the information to other forms which grid middlewares can handle. We apply the system to construct an analysis environment of bioinformatics and compare it with other grid systems to explain usefulness of the system.

• Journal of KIISE:Computer Systems and Theory
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• v.27 no.6
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• pp.558-566
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• 2000

Object recognition is a challenging application for high-performance computing. Currently, the superscalar architecture dominates todays microprocessor marketplace. As more transistors are integrated onto larger die, however, an on-chip multiprocessor is regarded as a promising alternative to the superscalar microprocessor. This paper examines the behavior of the object recognition on the on-chip multiprocessor, which will be employed in general-purpose parallel machines. To obtain the performance characteristics of the microprocessor, a program-driven simulator and its programming environment were developed. The simulation results showed that the on-chip multiprocessor can exploit thread level parallelisms effectively and offer a promising architecture for the object recognition application.

• Journal of Broadcast Engineering
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• v.25 no.2
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• pp.192-199
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• 2020

Recently, the utilization of the object tracking algorithm based on the deep learning model is increasing. A system for tracking multiple objects in an image is typically composed of a chain form of an object detection algorithm and an object tracking algorithm. However, chain-type systems composed of several modules require a high performance computing environment and have limitations in their application to actual applications. In this paper, we propose a method that enables real-time operation in low-performance computing environment by adjusting the computational process of object detection module in the object detection-tracking chain type system.

• Proceedings of the Korean Information Science Society Conference
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• 2005.11a
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• pp.1030-1032
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• 2005

고성능 컴퓨팅이 요구됨에 따라 유연성과 효율성을 가진 Beowulf형 클러스터 시스템의 활용이 증가되고 있다. Beowulf 형 클러스터는 각각이 독립적인 운영체제를 가진 노드로 구성되어 있기 때문에 관리 및 모니터링에 많은 어려움이 있다. 모니터링 프로그램은 각각의 노드를 관리함과 더불어 세부적인 시스템의 정보를 제공하도록 연구 개발되고 있다. 특히 단일 모니터링 에이전트는 좀 더 많은 정보의 요구로 인하여 시스템 자원을 적게 소모하면서 많은 데이터를 추출할 수 있도록 구성되어 있다. 본 논문에서는 단일 노드에 설치되어 직접 데이터를 수집하고 전송하는 단일 모니터링 에이전트에 대한 비교 및 분석을 수행하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2003.11b
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• pp.1321-1324
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• 2003

지리적으로 분산된 이 기종의 유휴 자원들을 서로 연결하여 가상의 고성능 컴퓨팅 자원으로 사용하는 그리드에서 자원에 대한 접근 제어 시스템의 구축은 필수적이다. 본 논문에서는 그리드 환경 구축 시 전세계적으로 가장 많이 사용되는 Globus Toolkit 을 기반으로 하는 그리드 접근 제어 시스템을 설계 및 구현한다. 특히, 각 자원을 제공하는 사이트의 자율성을 보장하기 위해 각종 환경 설정 파일들을 이용하는 자원 접근 제어 시스템을 설계 및 구현하였다.

• KIISE Transactions on Computing Practices
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• v.23 no.7
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• pp.428-433
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• 2017

Recently, the demand for high performance non-volatile memory storage devices that can replace existing hard disks has been increasing in environments requiring high performance computing such as data-centers and social network services. The performance of such non-volatile memory can greatly depend on the interface between the host and the storage device. With the evolution of storage interfaces, the non-volatile memory express (NVMe) interface has emerged, which can replace serial attached SCSI and serial ATA (SAS/SATA) interfaces based on existing hard disks. The NVMe interface has a higher level of scalability and provides lower latency than traditional interfaces. In this paper, an evaluation and analysis are conducted of the performance of NVMe storage devices through various workloads. We also compare and evaluate the cost efficiency of NVMe SSD and SATA SSD.

• KIPS Transactions on Computer and Communication Systems
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• v.9 no.9
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• pp.189-196
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• 2020

Recently, GPU cloud computing technology applying GPU(Graphics Processing Unit) devices to virtual machines is widely used in the cloud environment. In a cloud environment, GPU devices assigned to virtual machines can perform operations faster than CPUs through massively parallel processing, which can provide many benefits when operating high-performance computing services in a variety of fields in a cloud environment. In a cloud environment, a GPU device can help improve the performance of a virtual machine, but the virtual machine scheduler, which is based on the CPU usage time of a virtual machine, does not take into account GPU device usage time, affecting the performance of other virtual machines. In this paper, we test and analyze the performance degradation of other virtual machines due to the virtual machine that performs GPGPU(General-Purpose computing on Graphics Processing Units) task in the direct path based GPU virtualization environment, which is often used when assigning GPUs to virtual machines in cloud environments. Then to solve this problem, we propose a GPGPU task management method for a virtual machine.

• The KIPS Transactions:PartA
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• v.13A no.2 s.99
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• pp.137-146
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• 2006

Shared Memory Multiprocessor (SMP) systems adopting Chip-level MultiThreading (CMT) technology are becoming mainstream servers in commercial applications and High Performance Computining (HPC) applications as well. OpenMP has become the standard paradigm to parallelize applications for SMP mostly because of its ease of use. As the demand for more computing power in HPC applications is growing rapidly, obtaining high performance and scalability for these applications parallelized using OpenMP API's will become more important. In this paper, we study the performance and scalability of HPC applications parallelized using OpenMP, SPEC OMPL (standard OpenMP benchmark suite), on the Sun Fire E25K server which adopts CMT technology. We also study the effect of CMT on SPEC OMPL.

• Proceedings of the Korea Contents Association Conference
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• 2011.05a
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• pp.301-302
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• 2011

2007년 12월 7일 발생한 허베이스피리트호 원유 유출사고를 계기로 국가 해양유류오염사고 대응체제 문제점이 부각되었고 이에 따라 해양 유류사고에 대한 대응 및 오염 진단, 복원을 지원할 수 있는 과학기술지원 체계 구축이 제기되었다. 본 논문에서는 실시간 해양오염 예측을 위해 필요한 해양 및 기상 예측 정보 통합 시스템을 소개한다. 본 시스템에서는 그리드 기술을 통한 해양 및 기상 예측 모델 수행에 필요한 사용자 환경 및 고성능 컴퓨팅 자원을 제공하고, 이를 통해 생성된 예측 자료를 통해 실시간 해양 오염 예측 정보를 생성하여 제공한다.