Portable Multicore Resource Management for Applications with Performance Constraints
(2016) 10th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip 2016 p.305-312- Abstract
- Many modern software applications have performance requirements, like mobile and embedded systems that must keep up with sensor data, or web services that must return results to users within an acceptable latency bound. For such applications, the goal is not to run as fast as possible, but to meet their performance requirements with minimal resource usage, the key resource in most systems being energy. Heuristic solutions have been proposed to minimize energy under a performance constraint, but recent studies show that these approaches are not portable - heuristics that are near-optimal on one system can waste integer factors of energy on others. The POET library and runtime system provides a portable method for resource management that... (More)
- Many modern software applications have performance requirements, like mobile and embedded systems that must keep up with sensor data, or web services that must return results to users within an acceptable latency bound. For such applications, the goal is not to run as fast as possible, but to meet their performance requirements with minimal resource usage, the key resource in most systems being energy. Heuristic solutions have been proposed to minimize energy under a performance constraint, but recent studies show that these approaches are not portable - heuristics that are near-optimal on one system can waste integer factors of energy on others. The POET library and runtime system provides a portable method for resource management that achieves near-optimal energy consumption while meeting soft real-time constraints across a range of devices. Although POET was originally designed and tested on embedded and mobile platforms, in this paper we evaluate it on a manycore server-class system. The larger scale of manycore systems adds some overhead to adjusting resource allocations, but POET still meets timing constraints and achieves near-optimal energy consumption. We demonstrate that POET achieves portable energy efficiency on platforms ranging from low-power ARM big.LITTLE architectures to powerful x86 server-class systems. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/17780cf0-fe1a-4944-96c7-17bc5c3e16c2
- author
- Imes, Connor ; Kim, David H. K. ; Maggio, Martina LU and Hoffmann, Henry
- organization
- publishing date
- 2016-12-05
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- IEEE 10th International Symposium on Embedded Multicore/Many-core Systems-on-Chip
- article number
- 7774452
- pages
- 8 pages
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- 10th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip 2016
- conference location
- Lyon, France
- conference dates
- 2016-09-21 - 2016-09-23
- external identifiers
-
- scopus:85010303415
- wos:000391410400040
- ISBN
- 9781509035304
- DOI
- 10.1109/MCSoC.2016.10
- language
- English
- LU publication?
- yes
- id
- 17780cf0-fe1a-4944-96c7-17bc5c3e16c2
- date added to LUP
- 2016-09-08 16:48:47
- date last changed
- 2022-02-14 04:56:20
@inproceedings{17780cf0-fe1a-4944-96c7-17bc5c3e16c2,
abstract = {{Many modern software applications have performance requirements, like mobile and embedded systems that must keep up with sensor data, or web services that must return results to users within an acceptable latency bound. For such applications, the goal is not to run as fast as possible, but to meet their performance requirements with minimal resource usage, the key resource in most systems being energy. Heuristic solutions have been proposed to minimize energy under a performance constraint, but recent studies show that these approaches are not portable - heuristics that are near-optimal on one system can waste integer factors of energy on others. The POET library and runtime system provides a portable method for resource management that achieves near-optimal energy consumption while meeting soft real-time constraints across a range of devices. Although POET was originally designed and tested on embedded and mobile platforms, in this paper we evaluate it on a manycore server-class system. The larger scale of manycore systems adds some overhead to adjusting resource allocations, but POET still meets timing constraints and achieves near-optimal energy consumption. We demonstrate that POET achieves portable energy efficiency on platforms ranging from low-power ARM big.LITTLE architectures to powerful x86 server-class systems.}},
author = {{Imes, Connor and Kim, David H. K. and Maggio, Martina and Hoffmann, Henry}},
booktitle = {{IEEE 10th International Symposium on Embedded Multicore/Many-core Systems-on-Chip}},
isbn = {{9781509035304}},
language = {{eng}},
month = {{12}},
pages = {{305--312}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
title = {{Portable Multicore Resource Management for Applications with Performance Constraints}},
url = {{http://dx.doi.org/10.1109/MCSoC.2016.10}},
doi = {{10.1109/MCSoC.2016.10}},
year = {{2016}},
}