• Title/Summary/Keyword: VPX

Search Result 4, Processing Time 0.021 seconds

FUJITSU의 슈퍼컴퓨터 VPX소개

  • 최병호
    • Computational Structural Engineering
    • /
    • v.5 no.2
    • /
    • pp.31-36
    • /
    • 1992
  • 1983년말에 출하된 FACOM VP시리즈는 고속성 및 범용컴퓨터와의 친화성을 특징으로 하는 시스템으로 여러 부문에서 좋은 평가를 얻어왔다. 슈퍼컴퓨터의 보급 때라 어플리케이션 프로그램은 거대화되었으며, 보다 대규모.고속의 처리능력을 가지는 시스템이 요구되어 왔다. 또한 컴퓨터 네트워크의 표준화/고속화는 슈퍼컴퓨터의 적용범위 확대에 중요한 요건이 되었다. FUJITSU는 이러한 시장 요건의 변화에 부응하기 위하여 1990년에 'VP 2000 시리즈'를 출하하였고, 개방화(OPEN CULTURE)에 대응하기 위하여 1991년에 UNIX슈퍼컴퓨터 'VPX 시리즈'를 출하하였다. 본 고에서는 슈퍼컴퓨터의 시장상황과 함께 VPX 시리즈에 관하여 소개하고자 한다.

  • PDF

A feasibility study of virtualization for Submarine Combat System

  • Lee, Dong-Won;Bae, Byung-Ku;Cho, Kyu-Sung
    • Journal of the Korea Society of Computer and Information
    • /
    • v.27 no.9
    • /
    • pp.121-129
    • /
    • 2022
  • In this paper, the virtual environment using rack server type HPC and 3U VPX server type HPC was applied and tested to the basic functions of the Jangbogo-III class submarine combat system developed for the first time in Korea. Based on this test results, the possibility of applying virtualization to the domestic submarine combat system to be developed in the future is confirmed. Existing studies have been limited to deriving applicable virtualization solutions through simple performance analysis of virtualization solutions or applying virtualization to some functions of the surface ship combat system, but in this paper, the application of virtualization is expanded to the submarine combat system through testing.

Design and Implementation of FPGA Based Real-Time Adaptive Beamformer for AESA Radar Applications (능동위상배열 레이더 적용을 위한 FPGA 기반 실시간 적응 빔 형성기 설계 및 구현)

  • Kim, Dong-Hwan;Kim, Eun-Hee;Park, Jong-Heon;Kim, Seon-Joo
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
    • /
    • v.26 no.4
    • /
    • pp.424-434
    • /
    • 2015
  • Adaptive beamforming algorithms have been widely used to remove interference and jamming in the phased array radar system. Advances in the field programmable gate array(FPGA) technology now make possible the real time processing of adaptive beamforming (ABF) algorithm. In this paper, the FPGA based real-time implementation method of adaptive beamforming system(beamformer) in the pre-processor module for active electronically scanned array(AESA) radar is proposed. A compact FPGA-based adaptive beamformer is developed using commercial off the shelf(COTS) FPGA board with communication via OpenVPX(Virtual Path Cross-connect) backplane. This beamformer comprises a number of high speed complex processing including QR decomposition & back substitution for matrix inversion and complex vector/matrix calculations. The implemented result shows that the adaptive beamforming patterns through FPGA correspond with results of simulation through Matlab. And also confirms the possibility of application in AESA radar due to the real time processing of ABF algorithm through FPGA.

A dynamic multicast routing algorithm in ATM networks (ATM 망에서 동적 멀티캐스트 루팅 알고리즘)

  • 류병한;김경수;임순용
    • The Journal of Korean Institute of Communications and Information Sciences
    • /
    • v.22 no.11
    • /
    • pp.2477-2487
    • /
    • 1997
  • In this paepr, we propose a dynamic multicast routin algorithm for constructing the delay-constrained minimal spanning tree in the VP-based ATM networks, in which we consider the effiiciency enen in the case wheree the destination dynamically joins/departs the multicast connection. For constructing the delay-constrained spanning tree, we frist generate a reduced network consisting of only VCX nodes from a given ATM network, originally consisting of VPX/VCX nodes. Then, we obtain the delay-constrained spanning tree with a minimal tree cost on the reduced network by using our proposed heuristic algorithm. Through numerical examples, we show that our dynamic multicast routing algorithm can provide an efficient usage of network resources when the membership nodes frequently changes during the lifetime of a multicast connection. We also demonstrate the more cost-saving can be expected in dense networks when applyingour proposed algorithm.

  • PDF