Repository logo
Log in(current)
Repository logoMIT Open ScholarshipDSpace@MIT
  1. Home
  2. MIT Open Access Articles
  3. MIT Open Access Articles
  4. A generalized software framework for accurate and efficient management of performance goals

A generalized software framework for accurate and efficient management of performance goals

Thumbnail Image
Download
Name

Agarwal_A generalized.pdf

Size

2.8 MB

Format

Adobe PDF

Checksum (MD5)

ef33dbb09ba32862ac989afd364cf13c

Author(s)
Hoffmann, Henry Christian
•
Maggio, Martina
•
Santambrogio, Marco D.
•
Leva, Alberto
•
Agarwal, Anant
Date Issued
September 2013
Journal
2013 Proceedings of the International Conference on Embedded Software (EMSOFT)
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Hoffmann, Henry, Martina Maggio, Marco D. Santambrogio, Alberto Leva, and Anant Agarwal. “A Generalized Software Framework for Accurate and Efficient Management of Performance Goals.” 2013 Proceedings of the International Conference on Embedded Software (EMSOFT) (n.d.).
Version
Author's final manuscript
Abstract
A number of techniques have been proposed to provide runtime performance guarantees while minimizing power consumption. One drawback of existing approaches is that they work only on a fixed set of components (or actuators) that must be specified at design time. If new components become available, these management systems must be redesigned and reimplemented. In this paper, we propose PTRADE, a novel performance management framework that is general with respect to the components it manages. PTRADE can be deployed to work on a new system with different components without redesign and reimplementation. PTRADE's generality is demonstrated through the management of performance goals for a variety of benchmarks on two different Linux/x86 systems and a simulated 128-core system, each with different components governing power and performance tradeoffs. Our experimental results show that PTRADE provides generality while meeting performance goals with low error and close to optimal power consumption.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
http://creativecommons.org/licenses/by-nc-sa/4.0/
Persistent DSpace Link
http://hdl.handle.net/1721.1/85867
DOI of Published Version
https://doi.org/10.1109/EMSOFT.2013.6658597
Repository logo
PrivacyPermissionsAccessibilityContact us
Repository logo
Notify us about copyright concerns.