Document Type
Conference Proceeding
Conference
The 9th Annual IEEE/ACM International Symposium on Code Generation and Optimization (CGO)
Publication Version
Accepted Manuscript
Link to Published Version
https://doi.org/10.1109/CGO.2011.5764670
Publication Date
1-1-2011
DOI
10.1109/CGO.2011.5764670
Conference Date
April 2-6, 2011
Geolocation
(45.923697, 6.869432999999958)
Abstract
The latest trend towards performance asymmetry among cores on a single chip of a multicore processor is posing new challenges. For effective utilization of these performance-asymmetric multicore processors, code sections of a program must be assigned to cores such that the resource needs of code sections closely matches resource availability at the assigned core. Determining this assignment manually is tedious, error prone, and significantly complicates software development. To solve this problem, we contribute a transparent and fully-automatic process that we call phase-based tuning which adapts an application to effectively utilize performance-asymmetric multicores. Compared to the stock Linux scheduler we see a 36% average process speedup, while maintaining fairness and with negligible overheads.
Rights
© 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Citation Information
Hridesh Rajan and Tyler Sondag. "Phase-based tuning for better utilization of performance-asymmetric multicore processors" Chamonix, France
2011 9th Annual IEEE/ACM International Symposium on Code Generation and Optimization (CGO) (2011) p. 11 - 20
Available at: http://works.bepress.com/hridesh-rajan/103/
This proceeding is published as Sondag, Tyler, and Hridesh Rajan. "Phase-based tuning for better utilization of performance-asymmetric multicore processors." In Code Generation and Optimization (CGO), 2011 9th Annual IEEE/ACM International Symposium on, pp. 11-20. IEEE, 2011. doi:10.1109/CGO.2011.5764670. Posted with permission.