Somnia proposes a method to improve the performance of smart contracts in the Ethereum Virtual Machine (EVM) through its innovation called Accelerated Sequential Execution. This approach aims to overcome the limitations of traditional processing, bringing execution speed closer to that of native software and favoring applications with high interaction demands, such as real-time games and social platforms.

Traditional model interpretation constraints in the EVM

Blockchains execute smart contracts by interpreting each instruction sequentially, one by one. This methodology generates some overhead and limits performance, especially in applications that require a high transaction frequency and very low latency. Thus, the current structure can hinder scalability for use cases with intensive demand.

Compilation of bytecode into native code as Somnia's solution

Somnia transforms the EVM bytecode into hyper-optimized native code through a compilation process, enabling smart contracts to run at speeds comparable to programs written in compiled languages like C++. In this way, the contract is no longer interpreted sequentially, functioning as more efficient software that can be processed more quickly by the network.

Efficient strategy for resource use

Since compilation demands more resources than standard interpretation, Somnia applies this technique only to high-frequency usage contracts, while contracts with lower activity maintain traditional execution. Thus, computational efficiency is improved without compromising resource management in the network.

Synergy with MultiStream and IceDB

This Accelerated Sequential Execution mechanism combines with MultiStream consensus and the IceDB database, technology that together aims to take the network to a processing level exceeding 1 million transactions per second (TPS), according to preliminary project data.

Conclusion

Somnia's technical approach aims to improve the efficiency and speed of smart contracts on EVM, especially in scenarios that demand high processing speed. The accelerated execution through compilation and its integration with complementary technologies represent a technical proposal with potential to enhance scalability.

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