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HIPAcc

HIPAcc : The Heterogeneous Image Processing Acceleration Framework

http://www.hipacc-lang.org/

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PAGE TITLE
HIPAcc | hipacc-lang.org Reviews
<META>
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HIPAcc : The Heterogeneous Image Processing Acceleration Framework
<META>
KEYWORDS
1 overview
2 authors
3 publications
4 getting started
5 documentation
6 view on github
7 hipa
8 example linear filters
9 main publications
10 richard membarth
CONTENT
Page content here
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PAGE
overview,authors,publications,getting started,documentation,view on github,hipa,example linear filters,main publications,richard membarth,overview poster
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HIPAcc | hipacc-lang.org Reviews

https://hipacc-lang.org

HIPAcc : The Heterogeneous Image Processing Acceleration Framework

INTERNAL PAGES

hipacc-lang.org hipacc-lang.org
1

HIPAcc

http://hipacc-lang.org/install.html

Is a source-to-source compiler based on Clang/LLVM. To build HIPA. From source, either the development package of Clang/LLVM and libc is required, or the corresponding components from the Clang/LLVM have to be installed manually:. On GNU/Linux when using Clang as target compiler). Works only with the release version of Clang/LLVM listed in dependencies.sh. Which corresponds to the current Clang/LLVM 3.8 release version. Can then be compiled in Visual Studio. The build system of HIPA. Environment variable...

2

HIPAcc

http://hipacc-lang.org/documentation.html

3

HIPAcc

http://hipacc-lang.org/index.html

The Heterogeneous Image Processing Acceleration Framework. Allows to design image processing kernels and algorithms in a domain-specific language (DSL). From this high-level description, low-level target code for GPU accelerators is generated using source-to-source translation. As back ends, the framework supports C/C , CUDA, OpenCL, and Renderscript. There is also a fork of HIPA. That targets Vivado HLS. Class LinearFilter : public Kernel uchar4 { private: Accessor uchar4 &input; Mask float &mask; publi...

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The Heterogeneous Image Processing Acceleration Framework. Allows to design image processing kernels and algorithms in a domain-specific language (DSL). From this high-level description, low-level target code for GPU accelerators is generated using source-to-source translation. As back ends, the framework supports C/C , CUDA, OpenCL, and Renderscript. There is also a fork of HIPA. That targets Vivado HLS. Class LinearFilter : public Kernel uchar4 { private: Accessor uchar4 &input; Mask float &mask; publi...

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