• Title/Summary/Keyword: Memory Resources

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3_D Time-Domain Analysis on the Motion of a Ship Advancing in Waves (파중 진행하는 선박의 3차원 시간영역 운동해석)

  • 홍도천;하태범;김대헌;송강현
    • Proceedings of the Korea Committee for Ocean Resources and Engineering Conference
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    • 2001.10a
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    • pp.164-168
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    • 2001
  • The motion of a ship advancing in regular waves is analyzed in the time-domain using the convolution integral of the radiation forces. The memory effect functions and infinite frequency added masses are obtained from the solution of the three dimensional improved Green integral equation in the frequency domain by making use of the Fourier transformation. The ship motions in regular waves have been calculated by both the time and frequency domain methods. It has been shown that they agree very well with each other. The present time-domain method can be used to predict the time histories of unsteady motions in irregular waves. It can also be used to calculate the hydrostatic and Froude-Krylov forces over the instantaneous wetted surface of the ship hull to predict large ship motions, in a practical sense, advancing in large amplitude waves.

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Partioning for hardwae-software codesign (하드웨어-소프트웨어 통합 설계를 위한 분할)

  • 윤경로;박동하;신현철
    • Journal of the Korean Institute of Telematics and Electronics A
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    • v.33A no.7
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    • pp.261-268
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    • 1996
  • Hardware-software codesign becomes improtant to effectively sagisfy perfomrance goals, because designers can trade-off in the way hardware and software components work teogether to exhibit a specified behavior. In this paper, a hardware-software pratitioning algorithm is presetned, in which the system behavioral description containing a mixture of hardware and software components is partitioned into hardware part and software part. The partitioning algorithm tries to minimize the given cost function under constraints on hardware resources or latency. Recursive moving of operations between the hardware and software parts is used to find a near optimum partition and the list scheduling approach is used to estimate the hardware area and latency. Since memory may take substantial protion of the hardware part, memory cost is included in sthe hardware cost. Experimental resutls show that our algorithm is effective.

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Hydroelastic Responses of a Very Large Floating Structure in Time Domain (시간영역에서 초대형 부유식 해양구조물에 대한 유탄성 운동해석)

  • 이호영;신현경
    • Proceedings of the Korea Committee for Ocean Resources and Engineering Conference
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    • 2000.04a
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    • pp.18-22
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    • 2000
  • This paper is transient motions of a very large floating structure subjected to dynamic load induced by wave. A time domain method is applied to the hydroelasticity problems for this purpose. The method is based on source-dipole and FEM scheme and on Newmark $\beta$ method to pursuit time step process taking advantage of the memory effect. The present method is appied to hydroelastic response analysis in regular waves and impact responses due to dropping aircraft.

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View-Dependent Adaptive Animation of Liquids

  • Kim, Jang-Hee;Ihm, In-Sung;Cha, Deuk-Hyun
    • ETRI Journal
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    • v.28 no.6
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    • pp.697-708
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    • 2006
  • Various adaptive mesh refinement techniques are often employed in numerical simulations for increasing spatial and temporal resolution beyond the limits imposed by available CPU time and memory space. Recently, an octree-based adaptive mesh structure was successfully used in fluid animation to place more grid cells efficiently in visually interesting regions of fluids. In an attempt to optimize the use of computational resources further in fluid animation, this paper extends this adaptive technique by modifying the mesh refinement scheme so that the camera's viewing properties are dynamically exploited during the simulation. Based on a simple adaptive mesh structure, we show that the new meshing strategy can save a substantial amount of computation time and memory space by using a view-dependent adaptive approach. The experimental results reveal that the proposed technique provides a good compromise between the computational effort and the simulation's fidelity, and may be used quite effectively in 3D animation production.

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Real-time Object Recognition with Pose Initialization for Large-scale Standalone Mobile Augmented Reality

  • Lee, Suwon
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.14 no.10
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    • pp.4098-4116
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    • 2020
  • Mobile devices such as smartphones are very attractive targets for augmented reality (AR) services, but their limited resources make it difficult to increase the number of objects to be recognized. When the recognition process is scaled to a large number of objects, it typically requires significant computation time and memory. Therefore, most large-scale mobile AR systems rely on a server to outsource recognition process to a high-performance PC, but this limits the scenarios available in the AR services. As a part of realizing large-scale standalone mobile AR, this paper presents a solution to the problem of accuracy, memory, and speed for large-scale object recognition. To this end, we design our own basic feature and realize spatial locality, selective feature extraction, rough pose estimation, and selective feature matching. Experiments are performed to verify the appropriateness of the proposed method for realizing large-scale standalone mobile AR in terms of efficiency and accuracy.

Performance Optimization of Parallel Algorithms

  • Hudik, Martin;Hodon, Michal
    • Journal of Communications and Networks
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    • v.16 no.4
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    • pp.436-446
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    • 2014
  • The high intensity of research and modeling in fields of mathematics, physics, biology and chemistry requires new computing resources. For the big computational complexity of such tasks computing time is large and costly. The most efficient way to increase efficiency is to adopt parallel principles. Purpose of this paper is to present the issue of parallel computing with emphasis on the analysis of parallel systems, the impact of communication delays on their efficiency and on overall execution time. Paper focuses is on finite algorithms for solving systems of linear equations, namely the matrix manipulation (Gauss elimination method, GEM). Algorithms are designed for architectures with shared memory (open multiprocessing, openMP), distributed-memory (message passing interface, MPI) and for their combination (MPI + openMP). The properties of the algorithms were analytically determined and they were experimentally verified. The conclusions are drawn for theory and practice.

Numerical Study on the Local Motion of an A-frame for Deep Sea ROV Mother Ship in Irregular Waves (심해잠수정 모선의 A-프레임 시간영역 국부운동해석)

  • Hong, Do-Chun;Lee, Pan-Mook
    • Proceedings of the Korea Committee for Ocean Resources and Engineering Conference
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    • 2003.05a
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    • pp.105-108
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    • 2003
  • The local motion at the top of an A-frame fixed on a research vessel for deep sea ROV floating in irregular waves is studied in the time-domain. The motion is analyzed in the time-domain using the convolution integral of the radiation forces. The memory effect functions and infinite frequency added masses are obtained from the solution of the three dimensional improved Green integral equation in the frequency domain by making use of the Fourier transformation.

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S3M2: Scalable Scheduling for Shared Memory Multiprocessors (공유 메모리 다중 프로세서 시스템을 위한 가변 스케줄링)

  • Kang, Oh-Han
    • The Transactions of the Korea Information Processing Society
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    • v.7 no.10
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    • pp.3055-3063
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    • 2000
  • In this paper, a task duplication based heuristic scheduling algorithm is proposed to solve the problem of task scheduling on Shared Memory Multiporcessors (SMM). The proposed algorithm pre-allocates network resources so as to avoid potential communication conlhct, and the algorithm uses heuristies to select duplication tasks so as to recuce of a multiprocessors, and generates scheduling accorting to the available number of processors ina system. The proposed algorithm has been applied to some practical task graphs in the simulation, and the results show that the proposed algorithm achieves considerable performance improvement, in respect of schedule length.

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The Design and Implementation of the ParaC Language (ParaC 언어의 설계 및 구현)

  • Lee, Kyoung-Seok;Woo, Young-Choon;Kim, Jin-Mee;Chi, Dong-Hae
    • The Transactions of the Korea Information Processing Society
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    • v.4 no.11
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    • pp.2903-2913
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    • 1997
  • This paper describes the design and implementation of the ParaC language that supports parallel programming on the shared memory and distributed memory parallel machine. The ParaC language is designed for the effective use of system resources of scalable parallel systems. The goal is achieved by adding parallel and synchronization constructs for shared address spaces, and remote task constructs for distributed address spaces. This paper also shows the translation method, and we implement the translator and the run-time library for parallel execution of extended constructs.

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Effects of Cordyceps ophioglossoides extracts on the neuronal death and memory dificits

  • Park, Byung-Chul;Jin, Da-Qing;Beak, Sung-Mok;Lee, Jae-Sung;Choi, Hee-Don;Kim, Jung-Ae
    • Proceedings of the PSK Conference
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    • 2003.10b
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    • pp.124.1-124.1
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    • 2003
  • We investigated whether the mushroom extracts can protect neuronal death and ameliorate memory deficits in Alzheimer"s disease induced by $\beta$-amyloid peptide[A$\beta$(25-35)]. Cellular model of Alzheimer"s disease was produced by using SK-N-SH human neuronal cells treated with $A\beta$. Treatment with 40uM $A\beta$ for 48hours caused a 46% loss of cell viability. First, we examined the effects of 22 mushroom extracts on neuronal death using MTT assay. We found that 3 mushroom extracts increased viability of the cells from 46% to 87%. (omitted)

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