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Integration of parallel MM5 with distributed resource manager and performance evaluation

Integration of parallel MM5 with distributed resource manage...

引用

8th International Conference on High-Performance Computing in Asia-Pacific Region, HPC Asia 2005

作者： Koh, Melvin Liang, Peng Simon, See Asia Pacific Science and Technology Center Nanyang Center for Supercomputing and Visualization Nanyang Technological University 50 Nanyang Avenue Singapore 639798 Singapore

ISBN: (纸本)0769524869

The PSU/NCAR mesoscale model (known as MM5) is a limited-area, nonhydrostatic, terrain-following sigma-coordinate model designed to simulate or predict mesoscale atmospheric circulation. MM5 is popularly used in numerical weather prediction and each simulation runs can take from several minutes to many hours. In many datacenters today, it is common that distributed resource management (DRM) software like LSF, PBSPro and N1 Grid Engine are employed to manage and optimize compute resources. In this paper, we described our experience of integrating Parallel MM5 with N1 Grid Engine (N1 GE), and discussed some of its performance characteristics. Our work shows that the integration parallel MM5 with distributed resource managers is feasible and the performance is rather good. © 2005 IEEE.

关键词： Parallel processing systems

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YellowRiver: a flexible high performance cluster computing service for grid

YellowRiver: a flexible high performance cluster computing s...

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International Conference on High Performance Computing in the Asia-Pacific Region

作者： Liang Peng Lip Kian Ng Simon See Nanyang Center for Supercomputing and Visualization Nanyang Technological University Singapore

Computational grids provide an emerging highly distributed computing platform for scientific computing. Recently, service oriented architecture (SOA) has become a trend of implementing software systems including grids. SOA provides more flexibilities for grid users at the service level. High performance computing (HPC) facilities such as HPC clusters, as building blocks of grid computing, are playing an important role in computational Grid and they are embracing SOA when integrated into grid in the format of services. Currently, how to build flexible and easy-to-use HPC service for grid computing still remains an open topic and not much work has been done in this area. In this paper, we propose an HPC cluster service architecture for Grid computing and utility computing. It provides the basic function such as service deployment, service monitoring, and service execution, etc. HPC cluster service deployment not only includes normal application deployment, but also operating system (currently Open Solaris) deployment on demand. Based on Solaris Jumpstart technology and some related tools, a prototype of this architecture has been developed and running on HPC clusters. With our prototype, the grid users are able to deploy a basic HPC environment (e.g., OpenSolaris, MPICH, Sun Grid Engine or N1 Grid Engine resource management tool) among the available cluster nodes. Our experiments show that our work provide great convenience and flexibility for users to setup and customize their preferred HPC cluster environment for their computation intensive applications in grid computing or utility computing

关键词： Grid computing High performance computing Service oriented architecture Distributed computing Computer architecture Prototypes Engines Scientific computing Software systems Monitoring

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Integration of parallel MM5 with distributed resource manager and performance evaluation

Integration of parallel MM5 with distributed resource manage...

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International Conference on High Performance Computing in the Asia-Pacific Region

作者： M. Koh Liang Peng S. See Nanyang Center for Supercomputing and Visualization Asia Pacific Science and Technology Center Nanyang Technological University Sun MicroSystem Inc. Singapore

The PSU/NCAR mesoscale model (known as MM5) is a limited-area, nonhydrostatic, terrain-following sigma-coordinate model designed to simulate or predict mesoscale atmospheric circulation. MM5 is popularly used in numerical weather prediction and each simulation runs can take from several minutes to many hours. In many datacenters today, it is common that distributed resource management (DRM) software like LSF, PBSPro and N1 grid engine are employed to manage and optimize compute resources. In this paper, we described our experience of integrating parallel MM5 with N1 grid engine (N1 GE), and discussed some of its performance characteristics. Our work shows that the integration parallel MM5 with distributed resource managers is feasible and the performance is rather good

关键词： Sun Atmospheric modeling Engines Resource management Distributed computing Predictive models Concurrent computing Scalability Testing Asia

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GriDE: A grid-enabled development environment

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2nd International Workshop on Grid and Cooperative Computing, GCC 2003

作者： See, Simon Song, Jie Peng, Liang Stoelwinder, Appie Neo, Hoon Kan G. Asia Pacific Science and Technology Center Sun Microsystems Inc 639798 Singapore Nanyang Center for Supercomputing and Visualization Nanyang Technological University 50 Nanyang Avenue 639798 Singapore

ISBN: (纸本)3540219889

Computational grids have become an important emerging platform for high-performance and resource consuming scientific computing. However, there are still obstacles for potential grid users to be involved into the trend and the grid application development is far from mature. Few applications have been designed for and hence benefit from the grids. This is largely due to the immature enabling grid computing environment/tools. While the traditional established programming tools can possibly be used to build grid applications, they are not particularly suitable for the nature of the grid environment. Our GriDE project aims to provide the fundamentally required features for grid application development and hence narrow the gap between applications and grid computing facilities. We present an overview architecture of GriDE, an application development oriented environment and the integrated basic functionalities such as grid job submission, grid resource discovery/browsing, job status monitoring, and preliminary grid workflow editing. Our experience of GriDE environment shows the feasibility of creating a easy-to-use computing environment for development and execution of grid applications. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Grid computing

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Performance evaluation in computational grid environments

Performance evaluation in computational grid environments

引用

International Conference on High Performance Computing in the Asia-Pacific Region

作者： Liang Peng S. See Yueqin Jiang Jie Song A. Stoelwinder Hoon Kang Neo Nanyang Center for Supercomputing and Visualization Nanyang Technological University Singapore School of Electrical and Electronics Engineering Nanyang Technological University Singapore

Grid computing has been developed extensive in recently years and is becoming an important platform for high performance computing in scientific areas. Grid performance evaluation is an important approach to improve the performance of grid systems and applications. However, few work has been conducted in grid performance evaluation due to a lot of reasons like lack, of appropriate grid performance metrics, complexity of the grids, etc. In this paper, we analyze the performance metrics like response time and system utilization in the computational grid environment. We argue that instead of calculating the system utilization in the traditional, a concept of relative grid utilization, which describes how close is a single grid application performance to the performance of the same application submitted without grid middleware. We also discuss the utilization for the grid systems processing a number of jobs. In our experiments, we use NPB/NGB to evaluate the APSTC cluster grid and NTU campus grid performance, especially the overhead of SGE and Globus. Our results show that the overhead of grid middleware turns to be ignorable when the job size grows, and the characteristics of the grid applications affect a lot on utilization of computational grids.

关键词： Grid computing Measurement Middleware High performance computing Delay Sun Performance analysis Benchmark testing Asia visualization

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Application partitionability in computational grids

Application partitionability in computational grids

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International Symposium on Parallel and Distributed Processing (IPDPS)

作者： L. Peng S. See Asia Pacific Science and Technology Center Sun Microsystems Inc. Nanyang Center for Supercomputing and Visualization Nanyang Technological University Singapore

Summary form only given. Computation grids provide large volume of computing resources and have become an attractive alternative for scientific computing. It is desired that the applications are developed to utilize the globally distributed computing resources. Partitioning is one important way to achieve this goal. However, whether partitioning an application for computational grids is profitable or not is a basic problem and it is not fully addressed by the existing work. We call it partitionability problem. In our work, we try to quantify this problem and define the concept of computation density and partitionability based on the criteria of response time. We theoretically analyze the relationship between partitionability and application attributes such as I/O and internal communication data size. We show that with given workloads, those applications with higher computation density result in higher partitionability. We also propose a global resource registration mechanism so that the up-to-date resource information is available in partitioning. Our experiments with the simulated map image matching application shows that the proposed concept and framework improve the response time of the application by almost 40%.

关键词： Computer applications Grid computing Distributed computing Delay Computer networks Throughput Local area networks Asia Sun visualization

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Benchmark performance on cluster grid with NGB

Benchmark performance on cluster grid with NGB

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International Symposium on Parallel and Distributed Processing (IPDPS)

作者： L. Peng S. See J. Song A. Stoelwinder H.K. Neo Asia Pacific Science and Technology Center Sun Microsystems Inc. Nanyang Center for Supercomputing and Visualization Nanyang Technological University Singapore

Summary form only given. Along with the development of computational grids, it is more and more desirable to evaluate performance of the grids by using standard benchmarks. However, few benchmark suites have been developed and widely used so far, which results in an obstacle to the wide acceptance of grid in current e-science age. Meanwhile, the dynamic and heterogeneous nature of grid environment makes performance evaluation and its generic applicability challenging. NGB (NAS Grid Benchmarks) is a recently proposed benchmark suite for computational grids. In this paper, we use NGB to evaluate the performance of cluster grid with Sun Grid Engine and Globus, which are basic components of the campus grid in our university. The performance metrics we used include turnaround time and CPU utilization. Our preliminary experimental results show that the Sun Grid Engine's overhead is less than that of Globus because Globus has more procedures in job submission, both of them become negligible when the problem size increases. Moreover, in NGB less loosely coupled grid applications may not necessary result in higher resource utilization, due to various characteristics of applications.

关键词： Grid computing Sun Engines Benchmark testing Resource management High performance computing Middleware Computer architecture Asia visualization

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Data resource discovery in a computational grid

引用

3rd International Conference on Grid and Cooperative Computing, GCC 2004 comprises of International Workshop on Information Grid and Knowledge Grid, IGKG 2004, International Workshop on Storage Grid and Technologies, SGT 2004, International Workshop on Information Security and Survivability for Grid, GISS 2004, International Workshop on Agents and Autonomic Computing and Grid Enabled Virtual Organizations, AAC-GEVO 2004 and International Workshop on visualization and Visual Steering, VVS 2004

作者： Jayasena, Sajindra Yee, Chin-Peng Song, Jie Stoelwinder, Abele See, Chong Wee Wong, Wai-Hong Singapore-MIT Alliance National University of Singapore 10 Kent Ridge Crescent 119260 Singapore Nanyang Center of Supercomputing and Visualization MPE Nanyang Technological University 50 Nanyang Avenue 639798 Singapore Asia Pacific Science and Technology Center Sun Microsystems Inc Philippines Singapore Institute of management Open University Center Singapore

ISBN: (纸本)3540235787

A computational grid focuses on the effective sharing of computing resources instead of data resources over the grid. However, distributed or parallel scientific and engineering applications often require wide access to large amounts of data. The demands to serve data are often as important as computational resources. Therefore, our focus is on the discovery of data resources leveraging on existing computational grid management technologies. In this paper, we proposed a data resource discovery mechanism to allow the Sun Grid Engine to retrieve, index and monitor the metadata from Oracle 10g. In the implementation, we analyze the organization of metadata information in Oracle 10g - Oracle’s data grid solution, and the resource discovery mechanism in Sun Grid Engine, one of the widely used computational grid middleware. The proposed mechanism provides a unique method to share data resources in the same way as computational resources. This allows the computational grid to be better integrated with the data grid. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Metadata

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