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https://doi.org/10.1109/wodes....
Article . 2016 . Peer-reviewed
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https://dx.doi.org/10.48550/ar...
Article . 2016
License: arXiv Non-Exclusive Distribution
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DBLP
Article . 2016
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IPA in the loop: Control design for throughput regulation in computer processors

Authors: Xinwei Chen; Yorai Wardi; Sudhakar Yalamanchili;

IPA in the loop: Control design for throughput regulation in computer processors

Abstract

A new technique for performance regulation in event-driven systems, recently proposed by the authors, consists of an adaptive-gain integral control. The gain is adjusted in the control loop by a real-time estimation of the derivative of the plant-function with respect to the control input. This estimation is carried out by Infinitesimal Perturbation Analysis (IPA). The main motivation comes from applications to throughput regulation in computer processors, where to-date, testing and assessment of the proposed control technique has been assessed by simulation. The purpose of this paper is to report on its implementation on a machine, namely an Intel Haswell microprocessor, and compare its performance to that obtained from cycle-level, full system simulation environment. The intrinsic contribution of the paper to the Workshop on Discrete Event System is in describing the process of taking an IPA-based design and simulation to a concrete implementation, thereby providing a bridge between theory and applications.

To appear in Proc. 13th International Workshop on Discrete Event Systems (WODES 2016), Xi'an, China, May 30 - June 1, 2016

Related Organizations
Keywords

Performance (cs.PF), FOS: Computer and information sciences, Computer Science - Performance, Optimization and Control (math.OC), FOS: Mathematics, Mathematics - Optimization and Control

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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Average
Average
Top 10%
Green