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Non-generic floating-point software support for embedded media processing

Claude-Pierre Jeannerod 1, * Jingyan Jourdan-Lu 1, 2, * Christophe Monat 2, * 
* Corresponding author
1 ARIC - Arithmetic and Computing
Inria Grenoble - Rhône-Alpes, LIP - Laboratoire de l'Informatique du Parallélisme
2 Compilation Expertise Center
ST-GRENOBLE - STMicroelectronics [Grenoble]
Abstract : This paper presents some work in progress on the design and implementation of efficient floating-point software support for embedded integer processors. We provide quantitative evidence of the benefits of supporting various non-generic (that is, specialized, fused, or simultaneous) operations in addition to the five basic arithmetic operations: for individual calls, speedups range from 1.12 to 4.86, while on DSP kernels and benchmarks, our approach allows us to be up to 1.34x faster.
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Submitted on : Monday, May 7, 2012 - 6:10:05 PM
Last modification on : Tuesday, October 25, 2022 - 4:21:39 PM
Long-term archiving on: : Friday, November 30, 2012 - 11:25:09 AM


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  • HAL Id : hal-00695333, version 1


Claude-Pierre Jeannerod, Jingyan Jourdan-Lu, Christophe Monat. Non-generic floating-point software support for embedded media processing. 7th IEEE International Symposium on Industrial Embedded Systems (SIES'12), 2012, Karlsruhe, Germany. ⟨hal-00695333⟩



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