A framework to accelerate sequential programs on homogeneous multicores

Christopher W. Fletcher; Rachael Harding; Omer Khan; Srinivas Devadas

doi:10.1109/VLSI-SoC.2013.6673306

A framework to accelerate sequential programs on homogeneous multicores

Christopher W. Fletcher, Rachael Harding, Omer Khan, Srinivas Devadas

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This paper presents a light-weight dynamic optimization framework for homogeneous multicores. Our system profiles applications at runtime to detect hot program paths, and offloads the optimization of these paths to a Partner core. Our work contributes two insights: (1) that the dynamic optimization process is highly insensitive to runtime factors in homogeneous multicores and (2) that the Partner core's view of application hot paths can be noisy, allowing the entire optimization process to be implemented with very little dedicated hardware in a multicore.

Original language	English (US)
Title of host publication	2013 IFIP/IEEE 21st International Conference on Very Large Scale Integration, VLSI-SoC 2013 - Proceedings
Publisher	IEEE Computer Society
Pages	344-347
Number of pages	4
ISBN (Print)	9781479905249
DOIs	https://doi.org/10.1109/VLSI-SoC.2013.6673306
State	Published - 2013
Externally published	Yes
Event	2013 IFIP/IEEE 21st International Conference on Very Large Scale Integration, VLSI-SoC 2013 - Istanbul, Turkey Duration: Oct 7 2013 → Oct 9 2013

Publication series

Name	IEEE/IFIP International Conference on VLSI and System-on-Chip, VLSI-SoC
ISSN (Print)	2324-8432
ISSN (Electronic)	2324-8440

Other

Other	2013 IFIP/IEEE 21st International Conference on Very Large Scale Integration, VLSI-SoC 2013
Country/Territory	Turkey
City	Istanbul
Period	10/7/13 → 10/9/13

ASJC Scopus subject areas

Hardware and Architecture
Software
Electrical and Electronic Engineering

Online availability

10.1109/VLSI-SoC.2013.6673306

Library availability

Discover UIUC Full Text

Cite this

Fletcher, C. W., Harding, R., Khan, O., & Devadas, S. (2013). A framework to accelerate sequential programs on homogeneous multicores. In 2013 IFIP/IEEE 21st International Conference on Very Large Scale Integration, VLSI-SoC 2013 - Proceedings (pp. 344-347). Article 6673306 (IEEE/IFIP International Conference on VLSI and System-on-Chip, VLSI-SoC). IEEE Computer Society. https://doi.org/10.1109/VLSI-SoC.2013.6673306

A framework to accelerate sequential programs on homogeneous multicores. / Fletcher, Christopher W.; Harding, Rachael; Khan, Omer et al.
2013 IFIP/IEEE 21st International Conference on Very Large Scale Integration, VLSI-SoC 2013 - Proceedings. IEEE Computer Society, 2013. p. 344-347 6673306 (IEEE/IFIP International Conference on VLSI and System-on-Chip, VLSI-SoC).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Fletcher, CW, Harding, R, Khan, O & Devadas, S 2013, A framework to accelerate sequential programs on homogeneous multicores. in 2013 IFIP/IEEE 21st International Conference on Very Large Scale Integration, VLSI-SoC 2013 - Proceedings., 6673306, IEEE/IFIP International Conference on VLSI and System-on-Chip, VLSI-SoC, IEEE Computer Society, pp. 344-347, 2013 IFIP/IEEE 21st International Conference on Very Large Scale Integration, VLSI-SoC 2013, Istanbul, Turkey, 10/7/13. https://doi.org/10.1109/VLSI-SoC.2013.6673306

Fletcher CW, Harding R, Khan O, Devadas S. A framework to accelerate sequential programs on homogeneous multicores. In 2013 IFIP/IEEE 21st International Conference on Very Large Scale Integration, VLSI-SoC 2013 - Proceedings. IEEE Computer Society. 2013. p. 344-347. 6673306. (IEEE/IFIP International Conference on VLSI and System-on-Chip, VLSI-SoC). doi: 10.1109/VLSI-SoC.2013.6673306

@inproceedings{6364598ca9a94c239499c1348b8d0a73,

title = "A framework to accelerate sequential programs on homogeneous multicores",

abstract = "This paper presents a light-weight dynamic optimization framework for homogeneous multicores. Our system profiles applications at runtime to detect hot program paths, and offloads the optimization of these paths to a Partner core. Our work contributes two insights: (1) that the dynamic optimization process is highly insensitive to runtime factors in homogeneous multicores and (2) that the Partner core's view of application hot paths can be noisy, allowing the entire optimization process to be implemented with very little dedicated hardware in a multicore.",

author = "Fletcher, {Christopher W.} and Rachael Harding and Omer Khan and Srinivas Devadas",

year = "2013",

doi = "10.1109/VLSI-SoC.2013.6673306",

language = "English (US)",

isbn = "9781479905249",

series = "IEEE/IFIP International Conference on VLSI and System-on-Chip, VLSI-SoC",

publisher = "IEEE Computer Society",

pages = "344--347",

booktitle = "2013 IFIP/IEEE 21st International Conference on Very Large Scale Integration, VLSI-SoC 2013 - Proceedings",

note = "2013 IFIP/IEEE 21st International Conference on Very Large Scale Integration, VLSI-SoC 2013 ; Conference date: 07-10-2013 Through 09-10-2013",

}

TY - GEN

T1 - A framework to accelerate sequential programs on homogeneous multicores

AU - Fletcher, Christopher W.

AU - Harding, Rachael

AU - Khan, Omer

AU - Devadas, Srinivas

PY - 2013

Y1 - 2013

N2 - This paper presents a light-weight dynamic optimization framework for homogeneous multicores. Our system profiles applications at runtime to detect hot program paths, and offloads the optimization of these paths to a Partner core. Our work contributes two insights: (1) that the dynamic optimization process is highly insensitive to runtime factors in homogeneous multicores and (2) that the Partner core's view of application hot paths can be noisy, allowing the entire optimization process to be implemented with very little dedicated hardware in a multicore.

AB - This paper presents a light-weight dynamic optimization framework for homogeneous multicores. Our system profiles applications at runtime to detect hot program paths, and offloads the optimization of these paths to a Partner core. Our work contributes two insights: (1) that the dynamic optimization process is highly insensitive to runtime factors in homogeneous multicores and (2) that the Partner core's view of application hot paths can be noisy, allowing the entire optimization process to be implemented with very little dedicated hardware in a multicore.

UR - http://www.scopus.com/inward/record.url?scp=84899513210&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84899513210&partnerID=8YFLogxK

U2 - 10.1109/VLSI-SoC.2013.6673306

DO - 10.1109/VLSI-SoC.2013.6673306

M3 - Conference contribution

AN - SCOPUS:84899513210

SN - 9781479905249

T3 - IEEE/IFIP International Conference on VLSI and System-on-Chip, VLSI-SoC

SP - 344

EP - 347

BT - 2013 IFIP/IEEE 21st International Conference on Very Large Scale Integration, VLSI-SoC 2013 - Proceedings

PB - IEEE Computer Society

T2 - 2013 IFIP/IEEE 21st International Conference on Very Large Scale Integration, VLSI-SoC 2013

Y2 - 7 October 2013 through 9 October 2013

ER -

A framework to accelerate sequential programs on homogeneous multicores

Abstract

Publication series

Other

ASJC Scopus subject areas

Online availability

Library availability

Related links

Fingerprint

Cite this