DocumentCode :
3630509
Title :
Coordinated management of multiple interacting resources in chip multiprocessors: A machine learning approach
Author :
Ramazan Bitirgen;Engin Ipek;Jose F. Martinez
Author_Institution :
Computer Systems Laboratory, Cornell University, Ithaca, NY 14853 USA
fYear :
2008
Firstpage :
318
Lastpage :
329
Abstract :
Efficient sharing of system resources is critical to obtaining high utilization and enforcing system-level performance objectives on chip multiprocessors (CMPs). Although several proposals that address the management of a single microarchitectural resource have been published in the literature, coordinated management of multiple interacting resources on CMPs remains an open problem.
Keywords :
"Resource management","Machine learning","Bandwidth","Proposals","Microarchitecture","Runtime","Quality of service","High performance computing","Laboratories","Measurement"
Publisher :
ieee
Conference_Titel :
Microarchitecture, 2008. MICRO-41. 2008 41st IEEE/ACM International Symposium on
ISSN :
1072-4451
Print_ISBN :
978-1-4244-2836-6
Electronic_ISBN :
2379-3155
Type :
conf
DOI :
10.1109/MICRO.2008.4771801
Filename :
4771801
Link To Document :
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