This paper explores various design parameters for 3D CNN that enable an efficient implementation of such complex network on resource-limited platforms.
Jan 1, 2023 · This paper explores various design parameters for 3D CNN that enable an efficient implementation of such complex network on resource-limited ...
Jul 9, 2024 · If you want to start with machine learning with FPGA, the best place to start with would ideally be the Xilinx Versal ACAP. Unfortunately these devices are ...
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This work proposes a hardware-aware pruning approach that can fully adapt to the loop tiling technique of FPGA design and is applied onto a novel 3D network ...
This paper presents the design of a hardware accelerator for convolutional neural networks. It employs a dataflow optimization strategy based on on-chip data ...
In this work, we analyze the 3D UNet workload and propose a HA with an optimized memory hierarchy with a total on-chip buffer of less than 4 MB.
Therefore, it is important to design hardware accelerators with an optimum bit-width to achieve an accuracy within the target range. We simulated inference ...
In this paper, we present a survey of hardware accelerators and hardware-aware algorithmic optimizations for 3D CNNs. We include only those CNNs that perform 3D ...
This paper designs a small 3D convolutional neural network based on the classic 3D convolutional neural network C3D, and uses the general matrix multiplication ...
Towards designing a hardware accelerator for 3D convolutional neural networks · Efficient Binary Weight Convolutional Network Accelerator for Speech Recognition.