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Titlebook: Applied Reconfigurable Computing; 15th International S Christian Hochberger,Brent Nelson,Pedro Diniz Conference proceedings 2019 Springer N

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31#
發(fā)表于 2025-3-26 22:50:25 | 只看該作者
Miscellaneous Ash/Combustion By-productsOpenVX standard. HiFlipVX also adds different features such as auto-vectorization. The library achieves an efficient resource utilization and a significant scalability, also in comparison to the reference (xfOpenCV), as shown in the evaluation.
32#
發(fā)表于 2025-3-27 01:13:26 | 只看該作者
33#
發(fā)表于 2025-3-27 05:41:57 | 只看該作者
HiFlipVX: An Open Source High-Level Synthesis FPGA Library for Image ProcessingOpenVX standard. HiFlipVX also adds different features such as auto-vectorization. The library achieves an efficient resource utilization and a significant scalability, also in comparison to the reference (xfOpenCV), as shown in the evaluation.
34#
發(fā)表于 2025-3-27 12:03:21 | 只看該作者
A Scalable FPGA-Based Architecture for Depth Estimation in SLAMimplementation on a high-end desktop CPU with an order of magnitude improved power consumption. Furthermore, the developed architecture is combined with our previous work for the task of tracking, to form the first complete accelerator for semi-dense SLAM on FPGAs, establishing the state of the art in the area of embedded low-power systems.
35#
發(fā)表于 2025-3-27 15:02:15 | 只看該作者
36#
發(fā)表于 2025-3-27 20:36:38 | 只看該作者
Optimizing CNN-Based Hyperspectral Image Classification on FPGAsuracy and real-time processing speed. Convolutional neural networks (CNNs)-based methods have been proven to achieve state-of-the-art accuracy in classifying HSIs. However, CNN models are often too computationally intensive to achieve real-time response due to the high dimensional nature of HSI, com
37#
發(fā)表于 2025-3-28 01:40:55 | 只看該作者
38#
發(fā)表于 2025-3-28 02:32:24 | 只看該作者
39#
發(fā)表于 2025-3-28 09:34:19 | 只看該作者
40#
發(fā)表于 2025-3-28 11:31:44 | 只看該作者
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