jakiro
Author: Deman
Layer 1 blockchain Monad Labs announced the completion of $ 225 million in financing, Paradigm led, Electric Capital, Sevenx Ventures, iOSG Ventures and Greenoaks, etc. This project intends to challenge competitors such as Solana and SUI.It is reported that this transaction is the largest cryptocurrency field since 2024.
In this regard, Monad founder Keone Hon said that Monad’s innovation comes from the ability to rebuild the blockchain of Ethereum from scratch to maintain the ability to execute smart contracts.Monad will fully support EVM.
Soon after, HTX Ventures announced a strategic investment in Monad Labs, and cooperation between the two parties will promote the innovation of the Web3 ecosystem.
The following will introduce the Monad project for readers.
The performance pain points of EVM, Monad realizes 10,000+TPS and has outstanding advantages in terms of scalability
EVM has always been the pioneer of blockchain virtual machines. It has become the most commonly used virtual machine for many years. It has witnessed the popular innovation of CURVE, Uniswap and Maker.Although EVM occupies a dominant position, the performance defects have led to the rise of Altvm (alternative virtual machine).In Altvm, Monad’s advantages include 10,000 TPS of its main network, and a super -strong community consensus culture.
According to reports, Monad will be launched later this year, and its goal is to become a highly scalable single large L1 blockchain.It is both compatible with EVM and can handle more than 10,000 transactions per second, with a block time of 1 second.This scalability performance is due to parallel execution and Monad DB technologies.
Monad achieved security and decentralization, and raised $ 19 million in seed wheel financing, led by Dragonfly, and participated in Placeholder, Shima Capital, Lemniscap, Cobie and so on.
Understand the parallelization technical logic of Monad, insight into the evolution direction of the EVM L1 track in the future
Monad is building a parallel EVM L1 with a complete bytecode compatibility.The uniqueness of Monad lies not only in its parallel engine, but also the optimization engine they build at the bottom.Monad uses a unique overall design method that combines several key features, such as Pipeline, asynchronous I/O, consensus execution separation, and MonaddB.
A key innovation designed by Monad is Pipeline with a slight offset.The offset allows more processes by running multiple instances at the same time.Therefore, Pipeline is used to optimize many functions such as PIPELING, transaction execution PIPELINING, consensus and execution of internal pipelining, and pipeline in the consensus mechanism itself.
Parallelized technology running schematic diagram
Next, we will look at the parallelization part of Monad, which is also the core of the project.
In Monad, the transaction is linearly sorted in the block, but the goal is to achieve the final state by using parallel execution.Monad’s execution engine design uses an optimistic parallel algorithm.Monad’s engine handles the transaction at the same time, and then performs analysis to ensure that if the transaction is executed one after another, the same results will be obtained.
If there are any conflicts, you need to re -execute.The parallel execution here is a relatively simple algorithm, but combining it with other key innovations of Monad makes this method novel.One thing to note here is that even if re -executing occurs, it is usually very cheap, because the input required for invalid trading has always been retained in the cache, so this will be a simple cache search.Re -execution is guaranteed to succeed because you have executed the previous transactions in the block.
Monad also improves performance by separating execution and consensus (similar to Solana and SEI) and delayed execution.The idea is that if you relax the execution conditions so that you can complete the execution before achieving consensus, you can run the execution and consensus parallel to increase the extra time to the two.Of course, Monad uses a certainty algorithm to deal with this situation to ensure that one of them will not run too far and get out of control.
It has been developed for two years and will be launched later this year. The story of the Monad team is also worth reading
Monad has been developed for about two years and was founded by Keone Hon, James Hunsaker and Eunice Giarta.Keone and James are two co -founders of technology and have worked together for eight years in Jump Trading.
Sitting on the same high -frequency trading desk and competing with 20 other teams inside JUMP, Keone and James can be among the best for many years, promoting the nominal transaction volume of more than $ 10 trillion each year, and thousands of transactions per second.At this level of transaction volume, Keone and James experienced the differences in the execution of microseconds.
After entering the encryption field, Keone is engaged in Solana Defi, and James is building Pyth.After being aware of the possibility of implementing a series of fundamental optimizations of EVM, they began to build Monad in 2022. These optimizations have become standard in high -performance computer sciences in the past 20 years, but they have not been applied to EVM.By introducing these components, you can create a higher performance EVM to solve many current expansion bottleneck problems.
