Exploiting Multimedia Extensions in C++: A Portable Approach

Esterie, Pierre; Gaunard, Mathias; Falcou, Joel; Lapresté, Jean-Thierry

doi:10.1109/mcse.2012.96

Cited by 4 publications

(3 citation statements)

References 3 publications

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“…For instance if the user writes d = a * b + c, the wrapper can automatically match a fused multiply and add instruction (FMA). Boost.SIMD and bSIMD extensively use this technique [7,8]. The drawbacks are that the source code complexity of the wrapper is dramatically increased.…”

Section: Related Workmentioning

confidence: 99%

Mipp

Cassagne

Aumage

Barthou

et al. 2018

Proceedings of the 2018 4th Workshop on Programming Models for SIMD/Vector Processing

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Error correction code (ECC) processing has so far been performed on dedicated hardware for previous generations of mobile communication standards, to meet latency and bandwidth constraints. As the 5G mobile standard, and its associated channel coding algorithms, are now being specified, modern CPUs are progressing to the point where software channel decoders can viably be contemplated. A key aspect in reaching this transition point is to get the most of CPUs SIMD units on the decoding algorithms being pondered for 5G mobile standards. The nature and diversity of such algorithms requires highly versatile programming tools. This paper demonstrates the virtues and versatility of our MIPP SIMD wrapper in implementing a high performance portfolio of key ECC decoding algorithms.

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Section: Related Workmentioning

confidence: 99%

Mipp

Cassagne

Aumage

Barthou

et al. 2018

Proceedings of the 2018 4th Workshop on Programming Models for SIMD/Vector Processing

View full text Add to dashboard Cite

show abstract

“…We've published previous examples of scientific DSLs in the "Scientific Programming" department. [1][2][3] There are two different techniques for implementing DSLs, and both are worth knowing about because they can also be of use in other contexts. The first approach, code generation, is the one chosen by Andy Terrel for his integration example.…”

Section: Simpler Programming Fewer Mistakes Better Performancementioning

confidence: 99%

“…In the "Scientific Programming" department, we've presented two examples of C++ metaprogramming for implementing parallel skeletons 2 and GPU programming. 3 Researchers in computer science also explore new languages with better support for DSL construction. An interesting example is the use of the Scala language in the Delite project (http://stanford-ppl.…”

Section: Simpler Programming Fewer Mistakes Better Performancementioning

confidence: 99%