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Abstract: We introduce the concept of Hierarchical Clustering as a way to structure shared memory multiprocessor operating systems for scalability. As the name implies, the concept is based on clustering and hierarchical system design. Hierarchical Clustering leads to a modular system, composed of easy-todesign and efficient building blocks. The resulting structure is scalable because it i) maximizes locality, which is key to good performance in NUMA systems, and ii) provides for concurrency that... (Update)
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BibTeX entry: (Update)
Ron Unrau, Michael Stumm, and Orran Krieger. Hierarchical Clustering: A structure for scalable muliprocessor operating system design. Technical Report 268, Computer Systems Research Institute, University of Toronto, 1993. http://citeseer.ist.psu.edu/unrau95hierarchical.html More
@article{ unrau95hierarchical,
author = "Ronald C. Unrau and Orran Krieger and Benjamin Gamsa and Michael Stumm",
title = "Hierarchical Clustering: {A} Structure for Scalable Multiprocessor Operating System Design",
journal = "The Journal of Supercomputing",
volume = "9",
number = "1--2",
month = "????",
pages = "105--134",
year = "1995",
url = "citeseer.ist.psu.edu/unrau95hierarchical.html" }
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Documents on the same site (http://www.eecg.toronto.edu/~okrieg/fullpap.html): More
The Alloc Stream Facility: A Redesign of Application-Level .. - Krieger, Stumm, Unrau (1994) (Correct)
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Optimizing IPC Performance for Shared-Memory Multiprocessors - Gamsa, Krieger (1994) (Correct)
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