Advances in FPGA hardware generation with High Level Synthesis: models and programmability

Authors

  • Maria Angélica Dávila Guzmán Estudiante
  • Rubén Gran Tejero
  • María Villarroya Gaudó
  • Darío Suárez Gracia

DOI:

https://doi.org/10.26754/jjii3a.4903

Abstract

The inclusion of FPGAs for improving hardware generations has highlighted FPGAs as accelerators. This work shows two proposals focus on programmability and performance using High Level Synthesis (HLS) : 1) Based on the analysis and modeling of the functional units generated by compilers, with emphasis on memory and 2) Implementing frameworks that allow the efficient use of FPGA resources in domains such as computer vision.

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Published

2020-12-22

How to Cite

Dávila Guzmán, M. A., Gran Tejero, R. ., Villarroya Gaudó, M., & Suárez Gracia, D. (2020). Advances in FPGA hardware generation with High Level Synthesis: models and programmability. Jornada De Jóvenes Investigadores Del I3A, 8. https://doi.org/10.26754/jjii3a.4903

Issue

Section

Artículos (Tecnologías de la Información y las Comunicaciones)