첨가제에 따른 (Zr?.?Sn?.₂)TiO₄의 소결온도 및 고주파 유전특성

학위논문(석사)--서울대학교 대학원 :무기재료공학과,1996.Maste

2013년 제3회 압전발전 지식연구회 - 압전현상을 이용한 에너지 수확 -

◦ 행사명 : 2013년 제3회 압전발전 지식연구회 ◦ 일 시 : 2013년 9월 4일(수) 15:30~18:00 ◦ 장 소 : 한국표준과학연구원 안전계측동 3층 세미나실 ◦ 참석대상 : 압전발전 지식연구회 회원 등 20명 ◦ 주요내용 : 1. 압전현상을 이용한 에너지 수확 (정대용 교수-인하대학교) 2. 압전에너지하베스팅 설계 및 응용 (김미소 박사-한국표준과학연구원) 3. (주)유니플라텍 개발제품 및 추진계획 (강석환 대표-(주)유니플라텍

Efficient data synchronization method on integrated computing environment

Cluster computing; Cloud computing; Data synchronization; Integrated computing environmen

HEMOS-Cloud: HPC Cloud-based Modeling and Simulation Platform for HEMOS Software

Modeling & Simulation (M&S) is a technology that replaces the physical productionand experimentation of products with virtual production (modeling) and engineeringanalysis (simulation). M&S can greatly reduce the time and cost it takes to develop newproducts and thus increasing the manufacturing company's competitiveness. This paperdescribes the construction of M&S platform based on High Performance Computer(HPC) cloud. High performance Engineering MOdeling & Simulation (HEMOS) is aM&S software developed to support structural analysis and fluid analysis. Developedusing open-source software, it supports all M&S processes from pre-processing toanalysis and post-processing. HEMOS is developed to simplify shapes, create mesh, anddetect contact surfaces at the pre-processing. It uses CalculiX and OpenFOAM, bothopen-source solvers, to analysis structural and fluid problems without license restrictionsat the analysis while OpenGL and Paraview were used to implement post-processing.HEMOS is provided through HEMOS-Cloud which was built based on Xen server with532 CPU cores and is connected with KISTI’s supercomputer of about 300TF. This HPCCloud-based modeling and simulation platform that services HEMOS can increase useraccessibility and reduce costs

The resource running time manager for integrated environment

Latest scientific application and simulation are requiring powerful computing resources. To get the sufficient resources, more and more computer experts are constructing high-end supercomputer, cluster computing or cloud computing. Although most corporations are starting to use high performance computing by organizing cluster, they rarely add some extra resources ynamically when computing power is not sufficient. In addition, they are also expensive to use insufficient resources as cloud computing resources.To overcome resource limitations when using cloud computing to conduct large computations, we exploit underutilized personal desktops by organizing a heterogeneous cluster environment. An open-source based scheduler, Son of Grid Engine (SGE) is provided in the integrated environment to manage or control the extra computing resources. Two kinds of groups are classified according to the individuals degree of utilization: a full-time group that provides resources at any time, and a custom-time group that provides resources only at designated times. We developed a resource manager that can turn on/off and schedule the SGE execution daemon; this manager performs as the core engine. The resource running time manager efficiently allocates and controls the members of affiliated computing resources

Job submission and monitoring management in integrated computing environment for finite element analysis

Modeling and simulation (M&S) is a promising solution for manufacturers to verify and resolve errors in advance. Recently, M&S using high-performance computing has attracted attention as a technology trend for its efficiency in terms of the time and the cost. However, a huge amount of computing resources is still required to perform an M&S analysis workflow within a short time. For the resolution of this issue, we organize a heterogeneous cluster environment with individual nodes of the diverse performance and OS. An open source-based task scheduler named Son of Grid Engine is used for managing the heterogeneous resources for the experiment. To verify the efficiency and validity of the organization scheme, we have developed an environment for analyzing products and monitoring work through CalculiX, an open source-based finite element analysis solver