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FPGAs have become an attractive option for deep learning algorithms acceleration due to their reconfigurability and abundant logic resources. However, facing large kernel convolution and feature ...
The FPGA is a type of semiconductor that can be reconfigured by a customer or designer after manufacturing – something ...
Deep neural network (DNN) inference relies increasingly on specialized hardware for high computational efficiency. This work introduces a field-programmable gate array (FPGA)-based dynamically ...
VHDL-based 4-bit nanoprocessor featuring a minimal instruction set architecture. Includes custom-designed ALU, multiplexers, program counter, and register bank, verified through simulation and FPGA ...
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