schedsetaffinity pit pad size supersize const cursed caused This method is used

Schedsetaffinity pit pad size supersize const cursed

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sched_setaffinity ( pit pad, size supersize, const cursed *caused ) This method is used by 1:1 model for setting affinity
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1. Neil Brown “A Many-to-Many Threading Model for Multi-core Architectures” Communicating Process Architectures 2007 Alistair A. McEwan, Steve Schneider, Wilson I fill, and Peter Welch, IOS Press, (2007) 2. A technical white paper ©2002 Sun Microsystems, Inc. “Multithreading in the Solarisª Operating Environment”. 3. Dave McCracken, Ottawa Linux Symposium 2002 “POSIX Threads and the Linux Kernel” IBM® Linux® Technology Center Austin, TX. (2002) 4. Dripper, U., & Molnar, I., “THE NATIVE POSIX THREAD LIBRARY FOR LINUX.” Red Hat. (2003) 5. An Oracle Technical White Paper, “Red Hat Enterprise Linux to Oracle Solaris Porting Guide”, (2012) 6. Xiao-Feng Li “On runtime technology and programming languages”, - feng.blogspot.com/2008/08/thread-mapping-11-vs- mn.html 7. Tie-Wei Kuok “Chapter 4: Multithreading”, National Taiwan University, (2005) 8. “Threads”, wiki/ Thread_ (computing). 9. Kevin Highlight, “Multithreading”, (2008) 10. W. Stalling, Operating Systems: Internals and Design Principles, 7th edition, Prentice-Hall, (2012) 11. Cyberchats, A. and Galvin, P. B., Operating System Concepts, 8th edition, Addison-Wesley, (2012) 12. Bryan M. Cantrell “Runtime performance analysis of M-to-N scheduling model”, Department of Computer Science, Brown University, (1996) 13. A. Frank-P. Weisberg, “Operating System – Threads Implementation”, BIU, (1999) 14. Mike Anderson “Understanding and Using SMP/Multi- core processors”, The PTR Group, Inc. (2008) 15. L. Blunt Jackson, “NPTL: The New Implementation of Threads for Linux” (2005) 16. Edward A. Lee, “The problem with Threads”, Electrical Engineering and Computer Sciences University of California at Berkeley, (2006) 17. Anupam Chanda, Khaled Ellery, Romer Gil, Summit Mittal, Alan L. Cox, and Willy Swanepoel, “An Efficient Threading Model to Boost Server Performance”, Rice University, Dept. of Computer Science, Switzerland. View publication stats
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