Automated MLIR-based HLS framework That Generates FPGA HW Designs From A Variety of CNN Layers (TU Dresden)


TU Dresden researchers published "MING: An Automated CNN-to-Edge MLIR HLS framework." Abstract "Driven by the increasing demand for low-latency and real-time processing, machine learning applications are steadily migrating toward edge computing platforms, where Field-Programmable Gate Arrays (FPGAs) are widely adopted for their energy efficiency compared to CPUs and GPUs. To generate high... » read more