The post Sonic Unveils New Consensus Protocol, Promising 2x Speed and 68% Less Memory Use appeared on BitcoinEthereumNews.com.

TLDR: Sonic overlapping elections let events act as voters and leaders, accelerating block finality.  Matrix‑based voting compresses data to 0‑1 arrays, enabling AVX2 vector computations.  Memory drops from 420 MB to 135 MB per epoch, freeing resources for high‑throughput nodes.  Mainnet tests over 200 epochs show 2.04× average speed, spiking to 2.62×. Sonic Research has launched a major upgrade to its blockchain consensus protocol, introducing SonicCS 2.0. This new system aims to double transaction speeds and reduce memory requirements by nearly 70 percent.  Built on a directed acyclic graph (DAG) structure, it introduces overlapping elections to streamline how transactions are ordered across blocks. These structural changes are expected to enhance both speed and efficiency while improving scalability.  The company confirmed the new client will roll out in the coming weeks. Overlapping Elections Boost Transaction Efficiency SonicCS 2.0 introduces a layered election process where validator roles can overlap across multiple rounds.  Unlike earlier versions, events in the DAG can simultaneously serve as candidates, voters, and aggregators. This allows the network to perform elections in parallel rather than waiting for one to complete before starting another.  Each transaction update can contribute to several elections at once, leading to faster consensus and quicker block formation. The protocol processes events through a pipeline model, turning the layered system into a streamlined process. This overlapping approach shortens the path from transaction to finality. It also improves resource use across validator nodes by minimizing redundant computations. A key enhancement in SonicCS 2.0 is its matrix-based voting structure. Each validator uses a 0-1 matrix to track voting and aggregation across layers. By structuring this data in matrices, Sonic compresses memory usage and simplifies computation.  For instance, voting and aggregation can now be done using vector operations supported by AVX2 instructions on most CPUs. This structure also supports real-time decision-making. The system…

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Filed under: News - @ July 4, 2025 10:25 pm