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Computer Science -Research and Development manuscript No. (will be inserted by the editor)
 

Summary: Computer Science - Research and Development manuscript No.
(will be inserted by the editor)
Adaptive Estimation and Prediction of Power and Performance in High
Performance Computing
Reza Zamani Ahmad Afsahi
Received: date / Accepted: date
Abstract Power consumption has become an increasingly
important constraint in high-performancecomputing systems,
shifting the focus from peak performance towards improv-
ing power efficiency. This has resulted in significant research
on reducing and managing power consumption. To have an
effective power management system in place, it is essen-
tial to model and estimate the runtime power of a comput-
ing system. Performance monitoring counters (PMCs) along
with regression methods are commonly used in this regard
to model and estimate the runtime power. However, archi-
tectural intuitions remain fundamental with regards to the
current models that relate a computing system's power to its
PMCs.
By employing an orthogonal approach, we examine the

  

Source: Afsahi, Ahmad - Department of Electrical and Computer Engineering, Queen's University (Kingston)

 

Collections: Computer Technologies and Information Sciences