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https://doi.org/10.1...arrow_drop_down
https://doi.org/10.1007/115961...
Part of book or chapter of book . 2005 . Peer-reviewed
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DBLP
Conference object . 2017
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Automatic Detection of Saturation and Clipping Idioms

Authors: Aart J. C. Bik; Milind Girkar; Paul M. Grey; Xinmin Tian;

Automatic Detection of Saturation and Clipping Idioms

Abstract

The MMXTM technology and SSE/SSE2 (streaming-SIMD-extensions) introduced a variety of SIMD instructions that can exploit data parallelism in numerical and multimedia applications. In particular, new saturation and clipping instructions can boost the performance of applications that make extensive use of such operations. Unfortunately, due to the lack of support for saturation and clipping operators in e.g. C/C++ or Fortran, these operations must be explicitly coded with conditional constructs that test the value of operands before actual wrap-around arithmetic is performed. As a result, inlineassembly or language extensions are most commonly used to exploit the new instructions. In this paper, we explore an alternative approach, where the compiler automatically maps high-level saturation and clipping idioms onto efficient low-level instructions. The effectiveness of this approach is demonstrated with some experiments.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Average
Top 10%
Average
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