Data processing: artificial intelligence – Neural network – Learning method
Reexamination Certificate
2011-08-09
2011-08-09
Vincent, David R (Department: 2129)
Data processing: artificial intelligence
Neural network
Learning method
C718S102000, C718S107000
Reexamination Certificate
active
07996346
ABSTRACT:
A multiprocessor system which includes automatic workload distribution. As threads execute in the multiprocessor system, an operating system or hypervisor continuously learns the execution characteristics of the threads and saves the information in thread-specific control blocks. The execution characteristics are used to generate thread performance data. As the thread executes, the operating system continuously uses the performance data to steer the thread to a core that will execute the workload most efficiently.
REFERENCES:
patent: 1860446 (2006-11-01), None
patent: 101076770 (2007-11-01), None
Jones, “Linux and symmetric multiprocessing”, IBM, Mar. 14, 2007.
Bothe, “Increase Performance With Embedded Multi-Core Processors”, Information Quarterly, vol. 5, No. 4, 2006; pp. 44-51.
Office Action for Chinese Patent Application No. 200810181268.4, dated Mar. 23, 2011.
Bell, Jr. Robert H.
Capps, Jr. Louis Bennie
Cook Thomas Edward
Dewkett Thomas J.
Nayar Naresh
Brown, Jr. Nathan H
Hamilton & Terrile LLP
International Business Machines - Corporation
Terrile Stephen A.
Vincent David R
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