FPGA Implementation of Binary High-Speed Floating Point Multiplier

The objective of this work is to design and implement a high-speed binary floating-point multiplier on FPGA that efficiently performs floating-point multiplication with reduced latency and optimized resource utilization. The proposed design focuses on fast exponent calculation, optimized mantissa multiplication, and efficient normalization and rounding stages to achieve high throughput. The multiplier is described in Verilog HDL, synthesized, and implemented on an FPGA platform, and its performance is evaluated in terms of speed, area, and power, demonstrating its suitability for high-performance computing, digital signal processing, and AI-based applications.