Analysis of the Prospects and Implementation Principles of Parallel EVM

With the rapid development of the blockchain industry, performance has become a bottleneck for further growth. Parallel blockchains have emerged, among which parallel EVM is a rising hot narrative.

Parallel EVM is mainly divided into two categories: monolithic blockchains and modular blockchains. Monolithic blockchains can be further divided into L1 and L2. Currently, the parallel EVM narrative is in its early stages of development, with significant market growth potential.

From a technical perspective, the implementation of the parallel EVM mainly consists of two parts: the virtual machine and the parallel execution mechanism.

1. The virtual machine is a virtual representation of a distributed state machine, used to execute smart contracts.

2. The parallel execution mechanism is divided into three main categories: message passing, shared memory, and strict state access lists. Shared memory can be further divided into memory lock models and optimistic parallelization.

Different projects have adopted different technological paths:

• Sei v2 adopts optimistic parallelization, claiming to be "the first parallel EVM blockchain"
• Monad introduces superscalar pipelines and improved optimistic parallel mechanisms.
• The Canto plan will upgrade to Cyclone EVM, introducing optimistic parallelization.
• Fuel, as a modular "rollup operating system", uses the UTXO model to achieve parallelism.
• L2 projects like Neon, Eclipse, etc., combine the capabilities of different L1s to provide cross-ecosystem scalability.

The development of parallel EVM is driven by intrinsic factors within the industry, while also necessitating attention to its security issues. In the future, more L1 and L2 projects will join the competition, and the optimization of infrastructure will bring a better user experience to Web3.

For investors, projects like Monad, Canto, and Fuel are worth paying attention to, as they may contain investment opportunities. Overall, parallel EVM is still in its early stages, and there are broad prospects for future development.