• 제목/요약/키워드: Distributed memory

검색결과 397건 처리시간 0.023초

Efficient Parallel Algorithm for Gram-Schmidt Method

  • Kim, Sung-Kyung
    • 한국산업정보학회논문지
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    • 제4권4호
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    • pp.88-93
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    • 1999
  • 선형독립인 소수의 벡터들을 직교화 시키는 방법인 Cram-Schmidt 알고리즘, 몇 개의 극단적인 고유치를 구하는 방법인 란초스 알고리즘방법 등이, 한번의 반복동안 한번의 동기점만 가지도록 재구성된다. 즉 메시지 패싱 분산시스템에서 모든 프로세서들 사이에 한번의 통신만 요구되도록 알고리즘을 변화시킨다. 이러한 알고리즘들은 재구성되었다고 하며, 전통적인 방법에 비하여 더 나은 병렬성질을 가지게 된다.

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MPMD 방식의 동기/비동기 병렬 혼합 멱승법에 의한 거대 고유치 문제의 해법 (A Synchronous/Asynchronous Hybrid Parallel Power Iteration for Large Eigenvalue Problems by the MPMD Methodology)

  • 박필성
    • 정보처리학회논문지A
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    • 제11A권1호
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    • pp.67-74
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    • 2004
  • 대부분의 병렬 알고리즘은 동기 알고리즘으로, 올바른 계산을 위해 작업을 일찍 끝낸 빠른 프로세서들은 동기점에서 느린 프로세서를 기다려야 하는데, 프로세서들의 성능이 다를 경우 연산 속도는 가장 느린 프로세서에 의해 결정된다. 본 논문에서는 거대 고유치 문제의 주요 고유쌍을 구하는 문제에 있어서 빠른 프로세서의 유휴 시간을 줄여 수렴 속도를 가속한 수 있는 동기/비동기 혼합 알고리즘을 고안하고 이를 MPMD 프로그래밍 방식을 사용하여 구현하였다.

클러스터 시스템에서 3차원 강소성 유한요소법의 병렬처리 (Parallel Processing of 3D Rigid-Plastic FEM on a Cluster System)

  • 최영;서용위
    • 한국정밀공학회지
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    • 제22권1호
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    • pp.122-129
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    • 2005
  • On the cluster system, the parallel code of rigid-plastic FEM has been developed. The cluster system, Simforge, has 15 processors and the total memory is 4.5GBytes. In the developed parallel code, the distributed data of the column-wise partitioned stiffness are stored as the compressed row storage and the diagonal preconditioned conjugate gradient solver is applied. The analysis of block upsetting is performed with the parallel code on Simforge cluster system. In this paper, the analysis results are compared and discussed.

Normal Anxiety, Fear and Depression-related Behaviors in Mice Lacking ${\alpha}-Calcitonin$ Gene-Related Peptide

  • Lee, Jong-Ho
    • The Korean Journal of Physiology and Pharmacology
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    • 제6권6호
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    • pp.299-304
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    • 2002
  • Calcitonin gene-related peptide (CGRP) expressing neurons are distributed widely throughout the central and peripheral nervous systems. Due to its distribution and pharmacological studies, CGRP has been implicated to be involved in anxiety, fear and depression. In this study, ${\alpha}CGRP-knockout$ mice were used to assess the consequences of removing this neuropeptide to the mice behaviors. ${\alpha}CGRP-knockout$ mice performed equally as well as wild type mice in the light-dark transition test and in the elevated plus maze test of anxiety. ${\alpha}CGRP-null$ mice behaved similarly as wild-type mice in the Porsolt swim test of depression. They also exhibited normal learning and memory in the fear conditioning tasks. It is concluded that ${\alpha}CGRP$ is not essential for mice to be able to perform these tests, despite the presence of ${\alpha}CGRP$ in the relevant regions of the brain.

ECG 신호의 분산처리를 위한 Preprocess Module에 관한 연구 (A Design of the Preprocess Module for the Distributed Process of the ECG signals)

  • 송향봉;이경중;윤형로;이명호
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1987년도 전기.전자공학 학술대회 논문집(II)
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    • pp.1338-1340
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    • 1987
  • This paper describes the design of ECG data preprocess module for the ECG signals. This module process the data obtained from two channels. It is composed of the AID converter, QRS detector, one chip micro-computer and memory. This module performs the following functions;digital filtering, R wave detection and determination of reference point for the ST segment. The measured points are transfered to the next data module by the interrupt process. This preprocessor data module is available to the basis for the parallel data processing for the real time automatic diagnosis.

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Parallel computation for transcendental structural eigenproblems

  • Kennedy, D.;Williams, F.W.
    • Structural Engineering and Mechanics
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    • 제5권5호
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    • pp.635-644
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    • 1997
  • The paper reviews the implementation and evaluation of exact methods for the computation of transcendental structural eigenvalues, i.e., critical buckling loads and natural frequencies of undamped vibration, on multiple instruction, multiple data parallel computers with distributed memory. Coarse, medium and fine grain parallel methods are described with illustrative examples. The methods are compared and combined into hybrid methods whose performance can be predicted from that of the component methods individually. An indication is given of how performance indicators can be presented in a generic form rather than being specific to one particular parallel computer. Current extensions to permit parallel optimum design of structures are outlined.

ECG 특징추출을 위한 하드웨어시스템의 설계 (Design of a hardware system for ECG feature extraction)

  • 이경중;윤형로;이명호
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1988년도 한국자동제어학술회의논문집(국내학술편); 한국전력공사연수원, 서울; 21-22 Oct. 1988
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    • pp.697-700
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    • 1988
  • This paper describes the design of a hardware system for ECG feature extraction based on pipeline processor consisting of three computers. ECG data is acquisited by 12 bit A/D converter with hardware QRS triggred detector. Four diagnostic parameters-heart, axis, and ST axis, and ST segment are used for the classification and the diagnosis of arrhythmia. The functions of the main CPU were distributed and processed with three microcomputers. Therefore the effective data process and the real time process using microcomputer can be obtained. The interconnection structure consisting of two common memory units is designed to decrease the delay time caused by data transfer between processors and designed by which the delay time can be taken 1% of one clock period.

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ON LEARNING OF CNAC FOR MANIPULATOR CONTROL

  • Hwang, Heon;Choi, Dong-Y.
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1989년도 한국자동제어학술회의논문집; Seoul, Korea; 27-28 Oct. 1989
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    • pp.653-662
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    • 1989
  • Cerebellar Model Arithmetic Controller (CMAC) has been introduced as an adaptive control function generator. CMAC computes control functions referring to a distributed memory table storing functional values rather than by solving equations analytically or numerically. CMAC has a unique mapping structure as a coarse coding and supervisory delta-rule learning property. In this paper, learning aspects and a convergence of the CMAC were investigated. The efficient training algorithms were developed to overcome the limitations caused by the conventional maximum error correction training and to eliminate the accumulated learning error caused by a sequential node training. A nonlinear function generator and a motion generator for a two d.o.f. manipulator were simulated. The efficiency of the various learning algorithms was demonstrated through the cpu time used and the convergence of the rms and maximum errors accumulated during a learning process. A generalization property and a learning effect due to the various gains were simulated. A uniform quantizing method was applied to cope with various ranges of input variables efficiently.

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실시간 심전도 자동진단을 위한 파이프라인 프로세서의 설계 (Design of a Pipeline Processor for the Automated ECG Diagnosis in Real Time)

  • 이경중;윤형로;이명호
    • 대한전자공학회논문지
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    • 제26권8호
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    • pp.1217-1226
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    • 1989
  • This paper describes a design of hardware system for real time automatic diagnosis of ECG arrhythmia based on pipeline processor consisting of three microcomputer. ECG data is acquisited by 12 bit A/D converter with hardware QRS triggered detector. Four diagnostic parameters-heart rate, morpholigy, axis, and ST segment-are used for the classification and the diagnosis of arrhythmia. The functions of the main CPU were distributed and processed with three microcomputers. Therefore the effective data process and the real time process using microcomputer can be obtained. The interconnection structure consisting of two common memory unit is designed to decrease the delay time caused by data transfer between processors and be which the delay time can be taken 1% of one clock period.

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뇌경색환자(腦梗塞患者)의 중풍전조증(中風前兆症)에 대한 임상적(臨床的) 고찰(考察) (A clinical study on the prodromal syndrome of cerebral infarction)

  • 서창훈;권정남
    • 대한한방내과학회지
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    • 제19권1호
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    • pp.134-143
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    • 1998
  • Background : The purpose of this study was to investigate the prodromal of cerebral infarction in attacked patients and to prove the traditional hypothesis that some symptoms were to be prodromes of cerebral infarction in the oriental medicine. Methods : The questionnaire which was based on symptoms of traditional hypothesis was distributed cerebral infarction patients who were confirmed by Brain CT or MRI.. Results : Fifty-six patients(93.3%) felt some symptoms within three years before onset. Most common prodromal symptoms was dizziness(50%), failure of memory(45%), numbness of arm(45%). Conclusion : This results suggest that the prodromal symptoms before cerebral infarction can be regarded as predicting sign. and we think that these research may contributed to preventing stroke and relapse.

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