Shypd.aiThe largest open index of AI toolsPipeCNN is an OpenCL-based FPGA accelerator for Convolutional Neural Networks. It utilizes High Level Synthesis (HLS) tools to design and implement customized circuits on FPGAs, offering a faster hardware development cycle.
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PipeCNN is an OpenCL-based FPGA Accelerator specifically designed for large-scale Convolutional Neural Networks (CNNs). It leverages High Level Synthesis (HLS) tools to facilitate the design and implementation of customized circuits on FPGAs, significantly speeding up the hardware development cycle compared to traditional RTL-based methodologies. The project provides a generic, yet efficient, OpenCL-based CNN accelerator that is scalable in both performance and hardware resources, making it suitable for various FPGA platforms. PipeCNN supports both Intel OpenCL SDK and Xilinx Vitis based FPGA design flows and includes a ModelZoo with pre-quantized models for networks like VGG-16 and ResNet-50. While the performance may not match the latest state-of-the-art designs, PipeCNN serves as a complete and valuable resource for learning about Deep Learning Architecture (DLA) and experimenting with new ideas in FPGA acceleration.
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