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Auto-vectorization using polyhedral compilation for an embedded ARM platform Bas Nieuwenhuizen
| Content Provider | Semantic Scholar |
|---|---|
| Author | Zhai, Jiali Teddy |
| Copyright Year | 2014 |
| Abstract | Various modern instruction set architectures contain SIMD instructions. By using these instructions, programmers and compilers can expose fine-grained parallelism on the processor and significantly increase the performance of their programs. Analytical models such as the polyhedral model facilitate various transformations and analyses, which enable efficient automated selection of transformations. In this thesis we examine applying polyhedral compilation to automatic vectorization by the compiler. In combination with an analytic model for the performance gains this enables efficiently selecting transformations to vectorize loops. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://liacs.leidenuniv.nl/assets/Bachelorscripties/Inf-Studiejaar-2013-2014/2013-2014BasNieuwenhuizen.pdf |
| Alternate Webpage(s) | http://pub.math.leidenuniv.nl/~hupkeshj/scriptie_bas.pdf |
| Alternate Webpage(s) | http://www.liacs.nl/assets/Bachelorscripties/Inf-Studiejaar-2013-2014/2013-2014BasNieuwenhuizen.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
