How to accelerate data processing. Part 1: parallelizing digital circuits via independent operations

YADRO lead engineer Kirill Alekseev has published an article on optimization techniques for FPGA-based digital circuits. The author explores methods for parallelizing algorithms, focusing on improving throughput. Using a FIR filter microarchitecture implemented with MAC operations as a case study, the article highlights the fundamental differences between software parallelization and parallelism in digital logic. The material is intended for both novice developers and experienced architects of specialized computing systems. The author details how circuit configuration choices impact performance under specific data processing constraints. This is the first part of a series examining independent operations as a way to scale computing power in FPGAs. The article aims to help engineers make informed decisions when designing high-performance signal processing systems.