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dfesnippets: An Open-Source Library for Dataflow Acceleration on FPGAs

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Applied Reconfigurable Computing (ARC 2017)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10216))

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Abstract

Highly-tuned FPGA implementations can achieve significant performance and power efficiency gains over general purpose hardware. However the limited development productivity has prevented mainstream adoption of FPGAs in many areas such as High Performance Computing. High level standard development libraries are increasingly adopted in improving productivity. We propose an approach for performance critical applications including standard library modules, benchmarking facilities and application benchmarks to support a variety of use-cases. We implement the proposed approach as an open-source library for a commercially available FPGA system and highlight applications and productivity gains.

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Notes

  1. 1.

    https://github.com/custom-computing-ic/dfe-snippets.

  2. 2.

    https://github.com/custom-computing-ic/dfe-snippets.

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Acknowledgement

The support of UK EPSRC (EP/I012036/1, EP/L00058X/1, EP/L016796/1 and EP/N031768/1), the European Union Horizon 2020 Research and Innovation Programme under grant agreement number 671653, the Maxeler University Programme, Altera, Intel and Xilinx is gratefully acknowledged.

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Correspondence to Paul Grigoras .

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Grigoras, P. et al. (2017). dfesnippets: An Open-Source Library for Dataflow Acceleration on FPGAs. In: Wong, S., Beck, A., Bertels, K., Carro, L. (eds) Applied Reconfigurable Computing. ARC 2017. Lecture Notes in Computer Science(), vol 10216. Springer, Cham. https://doi.org/10.1007/978-3-319-56258-2_26

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  • DOI: https://doi.org/10.1007/978-3-319-56258-2_26

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