AN 307: Intel® FPGA Design Flow for AMD* Xilinx* Users

ID 683562
Date 4/01/2024
Public
Document Table of Contents

3.3.15.4. Fractal Synthesis

Fractal Synthesis optimizations can be used for deep-learning accelerators and other high-throughput, arithmetic-intensive designs that exceed all available DSP resources. For such designs, fractal synthesis optimization can achieve 20-45% area reduction.

Fractal synthesis uses techniques such as multiplier regularization and retiming which are ideal for operations like calculating dot-products, and continuous arithmetic packing to pack adder trees, multipliers into logic blocks optimally sized to fit Intel FPGA LABs.