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Abstract: Execution performance of a parallel process in general-purpose NUMA systems is greatly affected by how resources are allocated to it through its lifetime. Concurrently running multiple parallel processes will exhaust physical memory. We propose two resource management mechanisms. One is a scheduling policy that reflects resource consumption states. A process is scheduled to clusters where it has physical pages. The other is a memory-replacement strategy based on page classification under... (Update)
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BibTeX entry: (Update)
@misc{ nobukuni-study,
author = "Y. Nobukuni",
title = "Study on Kernel Level Scheduling in SSS-CORE: A General-Purpose Massively-Parallel
Operating System",
url = "citeseer.ist.psu.edu/422521.html" }
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