Abstract
In this paper, we present the design and implementation of an effective and scalable dynamic load balancing system for Non-Uniform Memory Access (NUMA) multiprocessors where load balancing is a key issue to achieve adequate efficiency. The proposed load balancing algorithm extends the well-known gradient model to enhance its applicability in a wide range of multiprocessor systems and to improve the overall system performance. A comparative performance study between the two models based on the preliminary simulation results is also reported in the paper.
This work has been partially supported by the German Science Foundation (DFG)
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© 1995 Springer-Verlag Berlin Heidelberg
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Liu, F., Peikenkamp, T., Damm, W. (1995). An extended gradient model for NUMA multiprocessor systems. In: Kanchanasut, K., Lévy, JJ. (eds) Algorithms, Concurrency and Knowledge. ACSC 1995. Lecture Notes in Computer Science, vol 1023. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-60688-2_46
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DOI: https://doi.org/10.1007/3-540-60688-2_46
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