Sei’s Parallel Processing Could Speed Up Ethereum by 64%

A new analysis shows that Speed Up Ethereum by 64% could process most transactions simultaneously, allowing it to handle more transactions and run faster. A recent study suggests that the network could significantly speed up by completing almost 65% of Ethereum’s transactions simultaneously. Experts at the layer-1 network Sei sei-1.75% wrote a blog post on Friday. Thanks to Sei’s discovery, the Ethereum network can process more transactions at once and is much faster because many of the transactions do not rely on one another.

Parallel Processing Speed Up Ethereum by 64%

Ethereum currently processes transactions sequentially, one after the other. It is necessary for transactions to occur sequentially; for instance, if 1 ETH-0.27% Ethereum is sent to one party and that party subsequently transmits 1 ETH to another, the two transactions cannot occur simultaneously. Allowing for parallel processing without waiting for other transactions to complete

Since your balance hasn’t changed yet, the second one is wrong if processed simultaneously. However, as Sei’s research shows, not all transactions have an effect on one another.
Sei experts clarify that there are simultaneous 1 ETH transfers to Alice, and you do not interfere with each other. You can process all these deals simultaneously or in parallel. Research shows that 64.85% of Speed Up Ethereum by 64% transactions are similar.

Using this strategy could speed up Ethereum and handle more transactions. There is a lot of room for improvement in parallel execution because, on average, each block has 60.77 dependent transactions. Nevertheless, a few obstacles persist. Certain transactions require processing in a specific order due to their interdependence.35.15 percent of Ethereum transactions rely on the activities of third parties.

Ethereum Speed Enhancement

The speed of EthereumThere are various ways to enhance the speed of Ethereum.m.cause any issues, the Sei protocol employs a technique known as “optimistic concurrency control” to allow transactions to occur simultaneously. After the transactions are complete, the system checks for conflicts.

The system can retry those transactions if anything goes wrong. This method can potentially simplify things for developers while speeding up Ethereum’s transaction processing. According to Sei, sharding—which divides the network into smSei suggests that Speed Up Ethereum by 64%might implement sharding in the future, dividing the network into smaller parts to speed up transaction processing.

Final Thoughts

Sei’s research presents a promising path toward significantly enhancing Ethereum’s speed and scalability. By enabling the parallel processing of up to 65% of transactions that don’t rely on each other, Ethereum could handle a larger volume of transactions at a much faster rate. This breakthrough in parallel execution could reduce bottlenecks and improve efficiency, allowing for smoother operations within the network.

However, the transition to parallel processing is not without its challenges. While many transactions can be processed simultaneously, some still require sequential processing due to interdependencies. With an average of 35% of Ethereum transactions relying on third-party actions, full optimization will require careful attention to these relationships.

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