A framework to accelerate sequential programs on homogeneous multicores

Author(s)
Harding, Rachael; Khan, Omer; Devadas, Srinivas; Fletcher, Christopher Wardlaw
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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.
Date issued
2013-10
URI
http://hdl.handle.net/1721.1/99987
Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Journal
Proceedings of the 2013 IFIP/IEEE 21st International Conference on Very Large Scale Integration (VLSI-SoC)
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Fletcher, Christopher W., Rachael Harding, Omer Khan, and Srinivas Devadas. “A Framework to Accelerate Sequential Programs on Homogeneous Multicores.” 2013 IFIP/IEEE 21st International Conference on Very Large Scale Integration (VLSI-SoC) (October 2013).
Version: Author's final manuscript
ISBN
978-1-4799-0524-9
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