• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2004.07b
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• pp.902-905
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• 2004

A heart diagnosis system adopts Superconducting Quantum Interface Device(SQUID) sensors for precision MCG signal acquisitions. Such system is composed of hundreds of sensors, requiring fast signal sampling and precise analog-digital conversions(ADC). Our development of hardware board, processing 64-channel 12-bit 1ks/s, is built by using 8-channel ADC chips, 8-bit microprocessors, SPI interfaces, and parallel data transfers between microprocessors to meet the 1ks/s, i.e. 1 ms speed. The test result shows that the signal acquisition is done in 168 usuc which is much shorter than the required 1 ms period. This hardware will be extended to 256 channel data acquisition to be used for the diagnosis system.

• Proceedings of the KSME Conference
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• 2001.11a
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• pp.252-257
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• 2001

With the help of newly arrived technology such as PC clustering, molecular dynamics (MD) seems to be promising for large-scale materials simulations. A cost-effective cluster is set up using commodity PCs connected over Ethernet with fast switching devices and free software Linux. Executing MD simulations in the parallel sessions makes it possible to carry out large-scale materials simulations at acceptable computation time and costs. In this study, the MD computer code for fracture simulation is modified to comply with MPI (Message Passing Interface) specification, and runs on the PC cluster in parallel mode flawlessly. It is noted that PC clusters can provide a rather inexpensive high-performance computing environment comparing to supercomputers, if properly arranged.

• Journal of the Korean Institute of Telematics and Electronics
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• v.14 no.4
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• pp.9-14
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• 1977

A parallel mode CRT interfacing technique has been suggested for a microcomputer system. The number of components and the I/O speed were improved significantly by this technique. As an appliation of this technique, a prototype program develoment system was designed and tested experimentally for the use fulness in prototype program developmenting.

• 한국전산유체공학회:학술대회논문집
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• 2005.04a
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• pp.123-127
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• 2005

The numerical analyses of the complicated flows are widely attempted in these days. Because of the enormous demanding memory and calculation time, parallel processing is used for these problems. In order to obtain calculation efficiency, it is important to choose proper domain decomposition technique and numerical algorithm. In this research we enhanced the efficiency of the CFDS code developed by ADD, using parallel computation and newly developed numerical algorithms. For the huge amount of data transfer between blocks non-blocking method is used, and newly developed data transfer algorithm is used for non-aligned block interface. Recently developed RoeM scheme is adpoted as a spatial difference method, and AF-ADI and LU-SGS methods are used as a time integration method to enhance the convergence of the code. Analyses of the flows around the ONERA M6 wing and the high angle of attack missile configuration are performed to show the efficiency improvement.

• 한국전산유체공학회:학술대회논문집
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• 1999.05a
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• pp.35-47
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• 1999

The development of a parallelized aerodynamic simulation process involving moving bodies is presented. The implementation of this process is demonstrated using a fully systemized Chimera methodology for steady and unsteady problems. This methodology consist of a Chimera hole-cutting, a new cut-paste algorithm for optimal mesh. interface generation and a two-step search method for donor cell identification. It is fully automated and requires minimal user input. All procedures of the Chimera technique are parallelized on the Cray T3E using the MPI library. Two and three-dimensional examples are chosen to demonstate the effectiveness and parallel performance of this procedure.

• Proceedings of the Korean Society of Computer Information Conference
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• 2014.01a
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• pp.477-478
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• 2014

일반적으로 컴퓨터 클러스터는 제공하는 기능에 따라 구축 비용이 고가이며 공간 확보, 냉난방, 전원 등을 위한 유지 비용을 무시할 수 없다. 그러므로, 일반 개발자들이 컴퓨터 클러스터를 보유하는 것은 쉬운 일이 아니다. 이러한 상황에서 교육용 및 연구용으로 가격대비 성능이 만족스러운 라즈베리 파이를 기반으로 한 컴퓨터 클러스터를 구축하여 분산 컴퓨팅 및 클라우드 컴퓨팅 시스템 개발을 위한 테스트 베드로 활용하고자 한다. 본 논문의 실험 결과는 라즈베리 파이 클러스터가 병렬 프로그래밍을 위한 효과적인 테스트 베드가 될 수 있음을 보인다.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1993.06a
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• pp.981-984
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• 1993

During the past decade, several specific hardwares for fast fuzzy inference have been developed. Most of them are dedicated to a specific inference method and thus cannot support other inference methods. In this paper, we present a hardware architecture called KAFA(KAist Fuzzy Accelerator) which provides various fuzzy inference methods and fuzzy set operators. The architecture has SIMD structure, which consists of two parts; system control/interface unit(Main Controller) and arithmetic units(FPEs). Using the parallel processing technology, the KAFA has the high performance for fuzzy information processing. The speed of the KAFA holds promise for the development of the new fuzzy application systems.

• The Transactions of the Korea Information Processing Society
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• v.6 no.5
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• pp.1373-1384
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• 1999

This paper describes the design and implementation of MAX(Management and Administration of spaX). MAX is the system management tool for XPAX(Scalable Parallel Architecture computer based on X-bar network) developed by highly parallel computer IV project. System manager and users can perform system management job easily using MAX which has GUI(Graphical User Interface). MAX contains most of all functions of system management-related commands provided by operating system of SPAX and consists of 10 sub tools.

• Journal of KIISE:Computing Practices and Letters
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• v.5 no.2
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• pp.196-208
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• 1999

본 논문에서는 시뮬레이션 속도 향상을 위하여 VHDL(Very high speed integrated circuit Hardware Description Language)로 기술된 디지털 회로 시뮬레이션을 위한 병렬 분산 VHDL 시뮬레이터(Parallel Distributed VHDL Simulator : PDVS)를 개발한다. 개발된 프로그램을 대규모 병렬 프로그래밍 환경에서도 수행될 수 있도록 하기 위해서 표준 통신 라이브러리인 MPI(Message Passing Interface)를 이용하여 구현된다. PDVS 의 전체적인 시스템구성도, PDVS 에 사용된 시뮬레이션 프로토콜, 전역가상시간 계산 메카니즘 및 논리적 프로세스의 내부 구성요소들간의 관계와 PDVS의 제어 흐름도를 제시한다. 그리고 본 연구에서는 병렬 분산 시뮬레이션의 병렬성 정도를 분석하기 위하여 디지털 회로의 크기 변화와 처리되는 사건수(grain size)의 변화에 따른 성능 결과를 제시한다. 이 연구에서 4배크기의 디지털 회로를 적용한 경우는 프로세서를 12개 사용할 때에 8배의 속도향상을 얻었다. 그리고 처리되는 사건의 수가 200인 경우는 프로세서를 32개 사용할 때에 12배의 속도향상을 얻었다. 또한 동일한 방법을 SGI Origin 2000, Cray T3e 및 IBM SP2에 적용함으로서 그 성능의 간접적인 비교결과도 제시한다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2019.07a
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• pp.257-258
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• 2019

본 논문에서는 "프로세서 중심 컴퓨터 구조"에서 개발된 MPI 병렬 프로그램을 수정하지 않고 "메모리 중심 컴퓨터 구조"에서 더 효율적으로 수행시키는 기술을 제안한다. 본 연구에서 제안하는 기술은 메모리 중심 컴퓨터 구조가 가지는 "빠른 대용량 공유 메모리" 특징을 이용하여 MPI 표준 라이브러리가 수행하는 네트워크 통신을 통한 느린 데이터 전달을 공유 메모리를 통한 빠른 데이터 전달로 대체하여 효율성을 얻는다. 본 연구에서 제안한 기술은 도커 가상화 기술을 사용한 분산 시스템 환경에서 MC-MPI-LIB 라이브러리 및 MC-MPI-SIM 시뮬레이터로 구현되었으며 다수의 MPI 병렬 프로그램으로 시험 수행하여 효율성이 있음을 보였다.