MM2IM is a co-designed FPGA accelerator that uses tiling and on-the-fly output mapping to skip ineffectual transposed convolution computations, achieving up to 4.2x speedup over an ARM CPU on generative model TCONV layers.
Generative Modeling for Small-Data Object Detection,
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Accelerating Transposed Convolutions on FPGA-based Edge Devices
MM2IM is a co-designed FPGA accelerator that uses tiling and on-the-fly output mapping to skip ineffectual transposed convolution computations, achieving up to 4.2x speedup over an ARM CPU on generative model TCONV layers.