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Conference papers
Automatic Streamization of Image Processing Applications
Abstract : New many-core architectures such as the Kalray MPPA-256 provide energy-efficiency and high performance for embedded systems. However, to take advantage of these opportunities, careful manual op-timizations are required. We investigate the automatic streamization of image processing applications, implemented in C on top of a dedicated API, onto this target accessed through the ΣC dataflow language. We discuss compiler and runtime design choices and their impact on perfor-mance. Our compilation techniques are implemented as source-to-source transformations in the PIPS open-source compilation framework. Ex-periments show lowest energy consumption on the Kalray MPPA target compared to other hardware targets for a range of 8 test applications.
Cited literature [24 references]
https://hal-mines-paristech.archives-ouvertes.fr/hal-01096735
Contributor : Claire Medrala Connect in order to contact the contributor
Submitted on : Friday, December 19, 2014 - 2:25:51 PM
Last modification on : Wednesday, November 17, 2021 - 12:33:03 PM
Long-term archiving on: : Monday, March 23, 2015 - 4:32:14 PM
Contributor : Claire Medrala Connect in order to contact the contributor
Submitted on : Friday, December 19, 2014 - 2:25:51 PM
Last modification on : Wednesday, November 17, 2021 - 12:33:03 PM
Long-term archiving on: : Monday, March 23, 2015 - 4:32:14 PM
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A-570.pdf
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