Automatic SIMD Vectorization of SSA-based Control Flow Graphs
Ralf Karrenberg presents Whole-Function Vectorization (WFV), an approach that allows a compiler to automatically create code that exploits data-parallelism using SIMD instructions. Data-parallel applications such as particle simulations, stock option price estimation or video decoding require the sa...
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| Ngôn ngữ: | English |
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2015
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| Truy cập trực tuyến: | https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/59122 |
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oai:scholar.dlu.edu.vn:DLU123456789-591222023-11-11T06:30:02Z Automatic SIMD Vectorization of SSA-based Control Flow Graphs Karrenberg, Ralf Vector processing Computer science Compilers CompComputer programs Ralf Karrenberg presents Whole-Function Vectorization (WFV), an approach that allows a compiler to automatically create code that exploits data-parallelism using SIMD instructions. Data-parallel applications such as particle simulations, stock option price estimation or video decoding require the same computations to be performed on huge amounts of data. Without WFV, one processor core executes a single instance of a data-parallel function. WFV transforms the function to execute multiple instances at once using SIMD instructions. The author describes an advanced WFV algorithm that includes a variety of analyses and code generation techniques. He shows that this approach improves the performance of the generated code in a variety of use cases. 2015-11-04T07:22:51Z 2015-11-04T07:22:51Z 2015 Book 978-3-658-10113-8 https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/59122 en application/pdf Springer |
| institution |
Thư viện Trường Đại học Đà Lạt |
| collection |
Thư viện số |
| language |
English |
| topic |
Vector processing Computer science Compilers CompComputer programs |
| spellingShingle |
Vector processing Computer science Compilers CompComputer programs Karrenberg, Ralf Automatic SIMD Vectorization of SSA-based Control Flow Graphs |
| description |
Ralf Karrenberg presents Whole-Function Vectorization (WFV), an approach that allows a compiler to automatically create code that exploits data-parallelism using SIMD instructions. Data-parallel applications such as particle simulations, stock option price estimation or video decoding require the same computations to be performed on huge amounts of data. Without WFV, one processor core executes a single instance of a data-parallel function. WFV transforms the function to execute multiple instances at once using SIMD instructions. The author describes an advanced WFV algorithm that includes a variety of analyses and code generation techniques. He shows that this approach improves the performance of the generated code in a variety of use cases. |
| format |
Book |
| author |
Karrenberg, Ralf |
| author_facet |
Karrenberg, Ralf |
| author_sort |
Karrenberg, Ralf |
| title |
Automatic SIMD Vectorization of SSA-based Control Flow Graphs |
| title_short |
Automatic SIMD Vectorization of SSA-based Control Flow Graphs |
| title_full |
Automatic SIMD Vectorization of SSA-based Control Flow Graphs |
| title_fullStr |
Automatic SIMD Vectorization of SSA-based Control Flow Graphs |
| title_full_unstemmed |
Automatic SIMD Vectorization of SSA-based Control Flow Graphs |
| title_sort |
automatic simd vectorization of ssa-based control flow graphs |
| publisher |
Springer |
| publishDate |
2015 |
| url |
https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/59122 |
| _version_ |
1782544969022570496 |