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An FPGA-Based Accelerator Enabling Efficient Support for CNNs with Arbitrary Kernel Sizes
Particularly, it demonstrates efficient support for large-kernel CNNs, achieving throughputs of 169. 68 GOPS and 244. 55 GOPS for RepLKNet-31 and PyConvResNet-50, respectively, both of which are implemented on hardware for the first time.
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