• Title/Summary/Keyword: Parallel Virtual Machine

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Construction and Performance Test of a Supercomputing PC System using PC-clustering and Parallel Virtual Machine (PC-Clustering과 병렬가상장치에 의한 수치계산용 슈퍼컴퓨팅 PC 시스템 구축과 성능 테스트)

  • Hong, Woo-Pyo;Kim, Jong-Jae;Oh, Kwang-Sik
    • Journal of the Korean Data and Information Science Society
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    • v.10 no.2
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    • pp.473-483
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    • 1999
  • We introduce a way to construct a supercomputing capable system with some networked PCs, running the Linux operating system and computing power comparable with expensive commercial workstations, and with the Parallel Virtual Machine (PVM) software which enables one to control the total CPUs and memories of the networked PCs. By benchmarking the system using a PVM parallel program, we find that the system's parallel efficiency is close to 90 %.

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Design of a Hybrid Serial-Parallel Robot for Multi-Tasking Machining Processes (ICCAS 2005)

  • Kyung, Jin-Ho;Han, Hyung-Suk;Ha, Young-Ho;Chung, Gwang-Jo
    • 제어로봇시스템학회:학술대회논문집
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    • 2005.06a
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    • pp.621-625
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    • 2005
  • This paper presents a new hybrid serial-parallel robot(HSPR), which has six degrees of freedom driven by ball screw linear actuators and motored joints. This hybrid robot design presents a compromise between high rigidity of fully parallel manipulators and extended workspace of serial manipulators. The hybrid robot has a large, singularity-free workspace and high stiffness. Therefore, the presented kinematic structure of the hybrid robot is particularly suitable for multi-tasking machining processes such as milling, drilling, deburring and grinding. In addition to the machining processes, the hybrid robot can be used for welding, fixturing, material handling and so on. The study on design of the hybrid robot is performed. A kinematic analysis and mechanism description of the hybrid robot with six-controlled degree of freedom is presented. In the virtual design works by DADS, workspace and force analysis are discussed. A numerical model is treated to demonstrate our analysis and to determine the range of permissible extension of the struts. Also, we determine some important design parameters for the hybrid robot.

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Design of a Virtual Walking Machine for Virtural Reality Interface (가상현실 대화용 가상걸음 장치의 설계)

  • 윤정원;류제하
    • Journal of Institute of Control, Robotics and Systems
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    • v.10 no.11
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    • pp.1044-1051
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    • 2004
  • This paper described a novel locomotion interface that can generate infinite floor for various surface, named as virtual walking machine. This interface allows users to participate in a life-like walking experience in virtual environments, which include various terrains such as plains, slopes and stair ground surfaces. The interface is composed of two three-DOF (X, Y, Yaw) planar devices and two four-DOF (Pitch, Roll, Z, and relative rotation) footpads. The planar devices are driven by AC servomotors for generating fast motions, while the footpad devices are driven by pneumatic actuators for continuous support of human weight. To simulate natural human walking, the locomotion interface design specification are acquired based on gait analysis and each mechanism is optimally designed and manufactured to satisfy the given requirements. The designed locomotion interface allows natural walking(step: 0.8m, height: 20cm, load capability: 100kg, slope:30deg) for various terrains.

GPGPU Task Management Technique to Mitigate Performance Degradation of Virtual Machines due to GPU Operation in Cloud Environments (클라우드 환경에서 GPU 연산으로 인한 가상머신의 성능 저하를 완화하는 GPGPU 작업 관리 기법)

  • Kang, Jihun;Gil, Joon-Min
    • KIPS Transactions on Computer and Communication Systems
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    • v.9 no.9
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    • pp.189-196
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    • 2020
  • Recently, GPU cloud computing technology applying GPU(Graphics Processing Unit) devices to virtual machines is widely used in the cloud environment. In a cloud environment, GPU devices assigned to virtual machines can perform operations faster than CPUs through massively parallel processing, which can provide many benefits when operating high-performance computing services in a variety of fields in a cloud environment. In a cloud environment, a GPU device can help improve the performance of a virtual machine, but the virtual machine scheduler, which is based on the CPU usage time of a virtual machine, does not take into account GPU device usage time, affecting the performance of other virtual machines. In this paper, we test and analyze the performance degradation of other virtual machines due to the virtual machine that performs GPGPU(General-Purpose computing on Graphics Processing Units) task in the direct path based GPU virtualization environment, which is often used when assigning GPUs to virtual machines in cloud environments. Then to solve this problem, we propose a GPGPU task management method for a virtual machine.

Simulation of a CIM Workflow System Using Parallel Virtual Machine (PVM)

  • Chang-Ouk Kim
    • Journal of the Korea Society for Simulation
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    • v.5 no.2
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    • pp.13-24
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    • 1996
  • Workflow is an ordered sequence of interdependent component data activities each of which can be executed on an integrated information system by accessing a remote information system. In our previous research [4], we proposed a distributed CIM Workflow system which consists of a workflow execution model called DAF-Net and an agent-based information systems called AIMIS. Given a component data activity, there needs an interaction protocol among agents which allocates the component data activity to a relevant information systems exist. The objective of this research is to propose and test two protocols: ARR(Asynchronous Request and Response)protocol and NCL(Negotiation with Case based Learning) protocol. To test the effectiveness of the protocols, we applied the PVM(Parallel Virtual Machine) software to simulate the distributed CIM Workflow system. PVM provides a distributed computing environment in which users can run different software processes in different computers while allowing communication among the processes.

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A Container Orchestration System for Process Workloads

  • Jong-Sub Lee;Seok-Jae Moon
    • International Journal of Internet, Broadcasting and Communication
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    • v.15 no.4
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    • pp.270-278
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    • 2023
  • We propose a container orchestration system for process workloads that combines the potential of big data and machine learning technologies to integrate enterprise process-centric workloads. This proposed system analyzes big data generated from industrial automation to identify hidden patterns and build a machine learning prediction model. For each machine learning case, training data is loaded into a data store and preprocessed for model training. In the next step, you can use the training data to select and apply an appropriate model. Then evaluate the model using the following test data: This step is called model construction and can be performed in a deployment framework. Additionally, a visual hierarchy is constructed to display prediction results and facilitate big data analysis. In order to implement parallel computing of PCA in the proposed system, several virtual systems were implemented to build the cluster required for the big data cluster. The implementation for evaluation and analysis built the necessary clusters by creating multiple virtual machines in a big data cluster to implement parallel computation of PCA. The proposed system is modeled as layers of individual components that can be connected together. The advantage of a system is that components can be added, replaced, or reused without affecting the rest of the system.

A Study on the Application of Machine Simulation and Angle Milling Head of a 6-Axis Parallel Kinematic Machine (6축 병렬기구 공작기계의 머신 시뮬레이션과 앵글밀링헤드 적용에 관한 연구)

  • Lee, In-Su;Kim, Hae-Ji;Kim, Nam-Kyung
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.16 no.5
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    • pp.47-54
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    • 2017
  • This study examines the implementation of a kinematic machining tool to evaluate the interference and collision phenomenon of 5-axis machining of wing ribs from airplanes, particularly for a large-size model airplane. We develop a machine simulation model of a parallel kinematic machining tool that can operate in a virtual space, which is equivalent to the authentic conditions in the field. The investigation of the simulation function elements indicates the necessity to generate the 6-axis machining, which attaches an angle head to the main axis of the machine. Using an NC program for the wing ribs, we attempt to verify the correspondence and conformity between the machine simulation model and the actual equipment.

A Study on the Sliding Ball Joint of Parallel Kinematic Mechanism (병렬 운동 기구의 미끄럼 볼 조인트 개발에 관한 연구)

  • Yoo, Dae-Won;Lee, Jai-Hak
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.33 no.9
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    • pp.982-989
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    • 2009
  • Parallel Kinematic Mechanism (PKM) is a device to perform the various motion in three-dimensional space and it calls for six degree of freedom. For example, Parallel Kinematic Mechanism is applied to machine tools, medical equipments, MEMS, virtual reality devices and flight motion simulators. Recently, many companies have tried to develop new Parallel Kinematic Mechanism in order to improve the cycle time and the precisional tolerance. Parallel Kinematic Mechanism uses general universal joint and spherical joint, but such joints have accumulated tolerance problems. Therefore, it causes position control problem and dramatically life time reduction. This paper focused on the rolling element to improve sliding precision in new sliding ball joint development. Before the final design and production, it was confirmed that new sliding ball joint held a higher load and a good geometrical structure. FEM analysis showed a favorable agreement with tensile and compressive testing results by universal testing machine. In conclusions, a new sliding ball joint has been developed to solve a problem of accumulated tolerance and verified using tensile and compressive testing as well as FEM analysis.

Running Large-scale Mobile Software using PDA Cluster Computing (PDA 클러스터 컴퓨팅을 활용한 대용량 모바일 소프트웨어 실행)

  • Min, Hye-Rhyn;Lee, Jong-Woo
    • Journal of Digital Contents Society
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    • v.10 no.2
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    • pp.249-258
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    • 2009
  • As wireless internet markets become larger than before, many mobile applications are also being developed actively. In this circumstances mobile devices such as cell phones, PDAs are playing an important role to satisfy the user's need of ubiquitous computing. Due to the hardware limitations, however, the mobile devices like PDA can not run large-scale softwares by itself. The main goal of this paper is to make large-scale applications runnable on PDA. To accomplish this, we used the PDA-JPVM cluster computing engine which has been already developed by us. We found out by running the applications and the performance evaluation that large-scale Java softwares can easily run on the hardware-limited PDA. And the performance evaluation results are also presented.

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