3D Tomography parallelization on FPGAs via HLS tools

Abstract : This paper deals with the evaluation of FPGAs resurgence for hardware acceleration applied to computed to-mography on the back-projection operator used in iterative reconstruction algorithms. We focus our attention on the tools developed by FPGAs manufacturers, in particular the Intel FPGA SDK for OpenCL, that promises a new level of hardware abstraction from the developer's perspective, allowing a software-like programming of FPGAs. For this purpose, we start with evaluating different custom OpenCL implementations of the back-projection algorithm. With some clues on memory fetching and coalescing, we then further tune designs to improve performance. Finally, a comparison is made with GPU implementations, and a preliminary conclusion is drawn on FPGAs future in computed tomography.
Document type :
Conference papers
Complete list of metadatas

Cited literature [11 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-01569320
Contributor : Nicolas Gac <>
Submitted on : Sunday, February 18, 2018 - 10:47:30 AM
Last modification on : Thursday, February 7, 2019 - 3:42:27 PM
Long-term archiving on : Wednesday, May 2, 2018 - 1:27:12 PM

File

DASIP_article.pdf
Files produced by the author(s)

Identifiers

Citation

Maxime Martelli, Nicolas Gac, Alain Mérigot, Cyrille Enderli. 3D Tomography parallelization on FPGAs via HLS tools. DASIP, Sep 2017, dresden, Germany. pp.1-6, ⟨10.1109/DASIP.2017.8122119⟩. ⟨hal-01569320⟩

Share

Metrics

Record views

566

Files downloads

115