Quadratic Complexity describes a characteristic of an algorithm or system where its resource requirements, such as computation time or memory usage, increase proportionally to the square of the input size. This scaling behavior indicates that performance degrades significantly as the amount of data or operations grows. It often presents a challenge for large-scale systems.
Context
Mitigating quadratic complexity is a design priority for scalable blockchain protocols, particularly in consensus mechanisms and data processing. Researchers continually seek solutions to reduce computational overhead to linear or sub-linear scaling for broader adoption.
SQuad introduces RareSync, a novel view synchronization primitive that reduces partially synchronous BFT communication complexity to the theoretical quadratic minimum.
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