Skip to Main content Skip to Navigation
Journal articles

3D Tomography back-projection parallelization on Intel FPGAs using OpenCL

Abstract : This article deals with the evaluation of FPGAs resurgence for hardware acceleration applied to computed tomography 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 developers perspective, allowing a software-like programming of FPGAs. Our first contribution is to propose an accurate memory benchmark, and we follow with an evaluation of 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 for computed tomography.
Complete list of metadatas

Cited literature [27 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-01831884
Contributor : Nicolas Gac <>
Submitted on : Monday, January 13, 2020 - 3:47:10 PM
Last modification on : Wednesday, April 8, 2020 - 4:05:32 PM
Document(s) archivé(s) le : Tuesday, April 14, 2020 - 6:37:54 PM

File

soumission_finale_juillet_2018...
Files produced by the author(s)

Identifiers

Citation

Maxime Martelli, Nicolas Gac, Alain Mérigot, Cyrille Enderli. 3D Tomography back-projection parallelization on Intel FPGAs using OpenCL. Journal of Signal Processing Systems, Springer, 2018, ⟨10.1007/s11265-018-1403-6⟩. ⟨hal-01831884⟩

Share

Metrics

Record views

175

Files downloads

99