Abstract
We propose two resource management methods; a scheduling policy that reflects resource consumption states and a memory-replacement strategy based on page classification under distributed shared memory architecture. The performances of the two mechanisms are evaluated by a probabilistic simulation. An instruction-level simulator simulates variety of process sets with finite resources on proposed resource-management methods. The results show the superiority of the proposed resource management mechanisms.
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© 1997 Springer-Verlag Berlin Heidelberg
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Nobukuni, Y., Matsumoto, T., Hiraki, K. (1997). Resource management methods for general purpose massively parallel OS SSS-CORE . In: Polychronopoulos, C., Joe, K., Araki, K., Amamiya, M. (eds) High Performance Computing. ISHPC 1997. Lecture Notes in Computer Science, vol 1336. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0024221
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DOI: https://doi.org/10.1007/BFb0024221
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