Proceedings of the ACM SIGPLAN 1999 conference on Programming language design and implementation
Asim: A Performance Model Framework
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X-means: Extending K-means with Efficient Estimation of the Number of Clusters
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Microarchitectural exploration with Liberty
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SIGMETRICS '03 Proceedings of the 2003 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
SMARTS: accelerating microarchitecture simulation via rigorous statistical sampling
Proceedings of the 30th annual international symposium on Computer architecture
Picking Statistically Valid and Early Simulation Points
Proceedings of the 12th International Conference on Parallel Architectures and Compilation Techniques
EXPERT: expedited simulation exploiting program behavior repetition
Proceedings of the 18th annual international conference on Supercomputing
MicroLib: A Case for the Quantitative Comparison of Micro-Architecture Mechanisms
Proceedings of the 37th annual IEEE/ACM International Symposium on Microarchitecture
TurboSMARTS: accurate microarchitecture simulation sampling in minutes
SIGMETRICS '05 Proceedings of the 2005 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Structures for phase classification
ISPASS '04 Proceedings of the 2004 IEEE International Symposium on Performance Analysis of Systems and Software
Motivation for Variable Length Intervals and Hierarchical Phase Behavior
ISPASS '05 Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2005
Efficient sampling startup for sampled processor simulation
HiPEAC'05 Proceedings of the First international conference on High Performance Embedded Architectures and Compilers
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This sampling technique, which is hardware-independent and almost entirely transparent to the user, employs a budget-based approach that jointly considers warm-up and sampling costs, presents them as a single parameter to the user, and distributes simulated instructions between warm-up and sampling based on region partitioning and clustering information. Although it focuses on practicality, the technique delivers nearly state-of-the-art speed and accuracy.