• Proceedings of the Korean Information Science Society Conference
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• 2011.06b
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• pp.286-289
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• 2011

VTK와 OSG는 컴퓨터 그래픽스 분야에서 널리 사용되는 오픈 소스 라이브러리이다. VTK는 데이터 가시화에 초점을 맞추어 개발된 라이브러리로 다양한 격자 구조의 수치 데이터를 위한 고수준의 가시화 알고리즘을 제공한다. OSG는 다수의 폴리곤으로 구성된 복잡한 전경을 빠르고 효율적으로 렌더링할 수 있도록 하는 라이브러리로 전경 그래프(scene graph)와 다양한 실시간 렌더링 기술을 제공한다. VTK와 OSG는 서로 다른 목적으로 개발된 라이브러리이기 때문에 어느 한 라이브러리만을 이용해서 대용량의 수치 데이터를 가시화하는 것은 많은 노력을 필요로 한다. 따라서 VTK의 고수준 가시화 알고리즘과 OSG의 실시간 렌더링 기술을 접목하여 대용량 데이터를 빠르게 가시화하고자 하는 시도가 여러 연구 그룹에서 꾸준히 있어왔다. 본 논문에서는 테라 스케일의 거대 용량 수치 데이터를 빠르게 가시화하기 위한 방법으로 병렬 VTK 엔진과 OSG 실시간 렌더링 엔진을 접목한 병렬 가시화 시스템을 제안하고자 한다. 또, 본 논문에서 제안하는 가시화 시스템을 이용해서 실제 테라 스케일 데이터에 적용한 사례를 소개한다.

• Journal of Advanced Marine Engineering and Technology
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• v.30 no.2
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• pp.311-318
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• 2006

In this study, the performance tests for single and dual micro processor configurations are performed to investigate how the accelerated OpenGL components and applications are dependent on processor configurations. At present, many major providers of the engineering graphics workstations have recommended that multiprocessors are better than single processor. However, we confirmed that the single processor configuration is more faster and more effective than competitive configurations and suggested the economic method to improve the performance of the engineering graphics workstations.

• Journal of Aerospace System Engineering
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• v.13 no.5
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• pp.1-8
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• 2019

Recently, avionics has been migrating from a federated architecture to an integrated modular architecture based on a multi-core to reduce the number of systems, weight, power consumption, and platform redundancy. The volume of data which must bo provided to the pilot through the display device has increased, because an integrated single device performs multiple functions. For this reason, the volume of data processed by the graphic processor within a fixed operation period has increased. In this paper, we provide a multi-core-based rendering engine in to perform more graphics processing within a fixed operation period. We assume the proposed method uses a multi-core-based partitioning operating system using the AMP (Asymmetric Multi-Processing) architecture.

• Journal of Korea Multimedia Society
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• v.14 no.6
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• pp.835-848
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• 2011

In this paper, we propose a client server based distributed/parallel system to effectively visualize huge geographic data. The system consists of a web-based client GUI program and a distributed/parallel server program which runs on multiple PC clusters. To make the client program run on mobile devices as well as PCs, the graphical user interface has been designed by using JOGL, the java-based OpenGL graphics library, and sending the information about current available memory space and maximum display resolution the server can minimize the amount of tasks. PC clusters used to play the role of the server access requested geographic data from distributed disks, and properly re-sample them, then send the results back to the client. To minimize the latency happened in repeatedly access the distributed stored geography data, cache data structures have been maintained in both every nodes of the server and the client.