A portable distributed shared memory system on the cluster environment: Design and implementation fully in software

  • Sato Hiroyuki
  • Nanri Takeshi
  • Shimasaki Masaaki
VII Poster Session Papers
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1336)


Cluster of workstation or personal computers connected with high speed network has become one of major architectures of distributed memory parallel computers. However, software on the cluster environment is still not improved in performance. The distributed shared memory can be a solution of programming style on distributed memory parallel system including clusters because we know from experiences that shared memory model ease programming. However, it must be implemented with care for the performance problem where there is no hardware support for shared memory system. Another, but serious problem is the portability. In this paper, we discuss the design and implementation of portable distributed shared memory system. Our shared memory system is based on PVM in consideration of portability. Our contributions in this paper is the design and implementation of portable shared memory system on the cluster environment using faithful implementation of active messages fully in software, together with an enhancement of PVM to support active messages.


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  1. 1.
    Amza, C., Cox, A.L., Dwarkadas, S., Keleher, P., Lu, H., Rajamony, R., Yu, W., Zwaenepoel, W.: “TreadMarks: Shared memory computing on networks of workstations,” IEEE Computer, 1996, pp. 18–28.Google Scholar
  2. 2.
    Boden, N.J., Cohe, D., Felderman, R.E., Kulawik, A.E., Seitz, C.L., Seizovic, J.N., Wen-King Su: “Myrinet-A Gigabit-per-Second Local-Area Network,” IEEE Micro, VOl. 15, No. 1, 1995, pp. 29–36.CrossRefGoogle Scholar
  3. 3.
    von Eicken, T., Culler, E., Goldstein, S., Schauser K.: “Active Messages: a Mechanism for Integrated Communication and Computation,” Proc. 1992 Int. Sympo. Computer Architecture, 1992, pp. 256–266.Google Scholar
  4. 4.
    Krishnamurthy, A., Culler, E., Dusseau, A., Goldstein, S., Lumetta, S., von Eicken, T., Yelick, K.: “Parallel Programming in Split-C,” Proc. Supercomputing'93, 1993, pp. 262–273.Google Scholar
  5. 5.
    Nanri, T., Sato, H., Shimasaki, M.: “Implementing a Portable SPMD Shared Memory Model Parallel Language in a Distributed Computing Environment,” Proc. Int. Symp. Parallel and Distributed SuperComputing, 1995, pp. 243–252.Google Scholar
  6. 6.
    Nanri, T., Sato, H., Shimasaki, M.: “Using Cache Optimizing Compilier for Managing Software Cache on Distributed Shared Memory System,” Proc. HPC Asia 97, 1997, pp. 312–318.Google Scholar
  7. 7.
    Sato, H., Nanri, T., Shimasaki, M.: “Using Asynchronous and Bulk Communication to Construct an Optimizing Compiler for Distributed-Memory Machines with Consideration Given to Communication Costs,” Proc. 1995 ACM ICS, 1995, pp. 185–189.Google Scholar
  8. 8.
    http://now.cs.berkeley.eduGoogle Scholar
  9. 9.
    http://www.rwcp.or.jpGoogle Scholar
  10. 10. Scholar
  11. 11. Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • Sato Hiroyuki
    • 1
  • Nanri Takeshi
    • 2
  • Shimasaki Masaaki
    • 3
  1. 1.Dept. Computer Science and Comm. Engr.Kyushu UniversityJapan
  2. 2.Computer CenterKyushu UniversityJapan
  3. 3.Dept. Electrical Engr.Kyoto UniversityJapan

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