High-throughput FFT architectures using HLS tools - Archive ouverte HAL
Communication Dans Un Congrès Année : 2022

High-throughput FFT architectures using HLS tools

Résumé

High-Level Synthesis (HLS) tools are an attractive option for fast prototyping and implementation of hardware accelerators performing digital signal processing algorithms such as the Fast Fourier Transform (FFT). However, the efficiency and the performance level of the generated architectures depend on the behavioral models. Moreover, Design Space Exploration features enabled by HLS tools are limited by the behavioral model parallelization features. In this paper, a generic FFT behavioral model usable within HLS tools is presented. Its configurable parameters enable to cover a broader architectural space by taking advantage of more parallelization strategies contrary of related works. Thus, this designed model can produce low-complexity architectures up to high throughput ones as highlighted by experimental results.

Domaines

Electronique
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Dates et versions

hal-04158201 , version 1 (11-07-2023)

Identifiants

Citer

Hugues Almorin, Bertrand Le Gal, Jérémie Crenne, Christophe Jego, Vincent Kissel. High-throughput FFT architectures using HLS tools. 2022 29th IEEE International Conference on Electronics, Circuits and Systems (ICECS), Oct 2022, Glasgow, United Kingdom. pp.1-4, ⟨10.1109/ICECS202256217.2022.9970886⟩. ⟨hal-04158201⟩
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