Research Article
Custom Network Quantization Method for Lightweight CNN Acceleration on FPGAs
Table 3
Configuration of experimental environment.
| Program | Detail |
| Hardware environment | CPU GPU Memory | Intel(R) Xeon(R) Gold 6148 CPU @ 2.40 GHz Tesla V100 (graphics memory 16 GB) 100 GB |
| Software environment | Operating system Deep learning framework Acceleration library Python Datasets | Linux Ubuntu 16.04 PaddlePaddle 2.3.0 CUDA 12.0 Python 3.7.8 miniImageNet, CIFAR-10, OxFord 102 Flowers |
| Inference platform | Xilinx Zynq Ultrascale+MPSoC 3EG (XCZU3EG) Virtex UltraScale+XCVU13P (XCVU13P) |
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