(Enter summary)
Abstract: Current shared-memory multiprocessors suffer from an inherent fragility, since a single hardware
or system software failure can cause the entire machine to crash. This dissertation describes a
combination of hardware and software techniques that can be used to provide fault containment
for large-scale shared memory machines. With fault containment, the impact of a fault remains
limited to only a small portion of the system, while the remaining good parts can continue
operating normally after... (Update)
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BibTeX entry: (Update)
Dan Teodosiu. End-to-end fault containment in scalable shared-memory multiprocessors. Ph.D. Thesis, Stanford University, 2000. http://citeseer.ist.psu.edu/teodosiu00endtoend.html More
@misc{ teodosiu00endtoend,
author = "D. Teodosiu",
title = "End-to-end fault containment in scalable shared-memory multiprocessors",
text = "Dan Teodosiu. End-to-end fault containment in scalable shared-memory multiprocessors.
Ph.D. Thesis, Stanford University, 2000.",
year = "2000",
url = "citeseer.ist.psu.edu/teodosiu00endtoend.html" }
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