Abstract
To ease the burden on developers, Domain-specific languages (DSLs) aim at combining architecture- and domain-specific knowledge, thereby delivering performance, productivity, and portability. HIPAcc is a publicly available framework for the automatic code generation of image processing algorithms on Graphics processing unit (GPU) accelerators. Starting from a C++ embedded DSL, HIPAcc delivers tailored code variants for different target architectures, significantly improving the programmer’s productivity. In this chapter, we use HIPAcc as foundation and extend it to be able to generate C++ code specific to the C-based HLS framework Vivado HLS from Xilinx.
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Notes
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Replacing memory loads of constant values by inserting the numerical literals.
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For example, image names are maintained, only given a prefix when converting to streams.
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Jetson DC power analysis of the CUDA smoke particle demo, adjusted for fan and system power consumption: http://wccftech.com/nvidia-tegra-k1-performance-power-consumption-revealed-xiaomi-mipad-ship-32bit-64bit-denver-powered-chips/.
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Acknowledgements
This work was partly supported by the German Research Foundation (DFG) as part of the Research Training Group 1773 “Heterogeneous Image Systems”.
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Schmid, M., Reiche, O., Hannig, F., Teich, J. (2016). HIPAcc . In: Koch, D., Hannig, F., Ziener, D. (eds) FPGAs for Software Programmers. Springer, Cham. https://doi.org/10.1007/978-3-319-26408-0_12
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DOI: https://doi.org/10.1007/978-3-319-26408-0_12
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