Performance is one of the key problems in either high performance computing or GRID application. Performance data must be collected and analyzed for co-allocating resource efficiently, obtaining high performance and f...Performance is one of the key problems in either high performance computing or GRID application. Performance data must be collected and analyzed for co-allocating resource efficiently, obtaining high performance and fault toleration. Furthermore, with the development of Internet and GRID, the exchange of data between virtual organiztions is becoming more and more important, and the type of performance is increasing following the increasing of the resource type, which requires a proper representation of the performance data. This paper does some research on the collection, analysis and representation of the performance data, and presents a Grid-oriented performance tool prototype: THGPT, which can achieve the runtime performance data, describe the data in XML, and implement a browser-based visualization tool of performance data analysis.展开更多
Computational fluid dynamics(CFD) has recently emerged as an effective tool for the investigation of the hydraulic parameters and efficiency of tray towers.The computation domain was established for two types of orien...Computational fluid dynamics(CFD) has recently emerged as an effective tool for the investigation of the hydraulic parameters and efficiency of tray towers.The computation domain was established for two types of oriented valves within a tray and meshed into two parts with different grid types and sizes.The volume fraction correlation concerning inter-phase momentum transfer source was fitted based on experimental data,and built in UDF for simulation.The flow pattern of oriented valve tray under different operating conditions was simulated under Eulerian-Eulerian framework with realizable k-ε model.The predicted liquid height from CFD simulation was in good agreement with the results of pressure drop and volume fraction correlations.Meanwhile,the velocity distribution and volume fraction of the two phases were demonstrated and analyzed,which are useful in design and analysis of the column trays.展开更多
文摘Performance is one of the key problems in either high performance computing or GRID application. Performance data must be collected and analyzed for co-allocating resource efficiently, obtaining high performance and fault toleration. Furthermore, with the development of Internet and GRID, the exchange of data between virtual organiztions is becoming more and more important, and the type of performance is increasing following the increasing of the resource type, which requires a proper representation of the performance data. This paper does some research on the collection, analysis and representation of the performance data, and presents a Grid-oriented performance tool prototype: THGPT, which can achieve the runtime performance data, describe the data in XML, and implement a browser-based visualization tool of performance data analysis.
文摘Computational fluid dynamics(CFD) has recently emerged as an effective tool for the investigation of the hydraulic parameters and efficiency of tray towers.The computation domain was established for two types of oriented valves within a tray and meshed into two parts with different grid types and sizes.The volume fraction correlation concerning inter-phase momentum transfer source was fitted based on experimental data,and built in UDF for simulation.The flow pattern of oriented valve tray under different operating conditions was simulated under Eulerian-Eulerian framework with realizable k-ε model.The predicted liquid height from CFD simulation was in good agreement with the results of pressure drop and volume fraction correlations.Meanwhile,the velocity distribution and volume fraction of the two phases were demonstrated and analyzed,which are useful in design and analysis of the column trays.
