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3D Tomography Back-Projection Parallelization on Intel FPGAs Using OpenCL

Journal of Signal Processing Systems(2018)

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摘要
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 developer’s perspective, allowing a software-like programming of FPGAs. Our first contribution is to propose an accurate memory benchmark. This is followed by an evaluation of different custom OpenCL implementations of the back-projection algorithm. With some clues on memory fetching and coalescing, we then fine-tune designs to improve performance. Finally, a comparison is made with GPU implementations, and a preliminary conclusion is drawn on the future of FPGAs for computed tomography.
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关键词
High-level synthesis,FPGA,OpenCL,Tomography reconstruction,GPU
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