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Teamster-G : A Grid-enabled Software DSM System

Teamster-G : A Grid-enabled Software DSM System. Tyng-Yeu Liang, Chun-Yi Wu, Jyh-Biau Chang, Ce-Kuen Shieh Department of Electrical Engineering, National Kaohsiung University of Applied Sciences No.415, Chien-Kung Road, Kaohsiung, Taiwan, R.O.C

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Teamster-G : A Grid-enabled Software DSM System

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  1. Teamster-G : A Grid-enabled Software DSM System Tyng-Yeu Liang, Chun-Yi Wu, Jyh-Biau Chang, Ce-Kuen Shieh Department of Electrical Engineering, National Kaohsiung University of Applied Sciences No.415, Chien-Kung Road, Kaohsiung, Taiwan, R.O.C Department of Electrical Engineering, National Chung Kung University No. 1, Ta-Hsueh Road, Tainan, Taiwan, R.O.C {lty, smiler,andrew, shieh}@hpds.ee.ncku.edu.tw

  2. Outline • Motivation of our research • System architecture • Highlight data of performance evaluation • Summaries

  3. Motivation Providing users with an easy programming toolkit is an important issue for grid computing. Proposed solutions : • MPICH-G2 : message passing • GridRPC : remote procedure call • Java CoG : remote method invocation However, the user interfaces provided by these toolkits are not as easy and transparent for users than shared memory.

  4. Motivation The advantages of shared memory parallelism • natural to extend sequential programs to distributed systems • transparent data distribution and communication • good scalability in system and program size • easy to adjust work distribution for load balance

  5. Motivation The aim of our work is to allowing users to develop applications in the grid environment with shared memory parallelism. building a grid-enabled software DSM system

  6. Teamster-G Teamster-G is a grid-enabled software DSM system developed based on Teamster and Globus. This system is mainly aimed to emulate a personal shared memory multiprocessor for user applications in the grid environment. • Hardware : Intel 80x86 PCs and SMPs • Operating system : Redhat 9.0 • Consistency : page-based and eager-updated • Programming interface : Pthread and OpenMP • Resource allocation : session-oriented and space sharing

  7. System architecture • TGrun A interface for users to submit jobs and monitor program execution in grids • TGRB A broker to allocate grid resource for users to execute their applications • TGCM A manager to govern local resource in each cluster

  8. Resource allocation

  9. Program execution

  10. Performance evaluation Experimental Configuration

  11. Performance evaluation Application parameters

  12. Resource discovery cost

  13. Application Performance

  14. Conclusions • The resource pool of TGRB is effective to minimize the cost of resource discovery. • Teamster-G can deliver an acceptable performance to user applications when data sharing is not heavy. • Distributing DSM programs onto multiple sites in wide area network unnecessarily cause the problem of huge data-consistency cost. In summary, our experience shows that a grid-enabled software DSM system can provide not only an easy programming interface but also an acceptable performance when load balance is achieved and data sharing is not heavy.

  15. Future work • OpenMP (finished) • Load balancing (2nd.Q, 2005) • Reconfiguration (4th.Q, 2005) • Q.o.S (1st.Q, 2006)

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