Content
@
https://ethereum.org
0 reply
0 recast
0 reaction
boubker.base.eth
@boubker99.eth
Parallel & Async Execution on @ethereum - Unlocking Scalability 🧵 1/14 🌐 @ethereum’s Scalability Struggle @ethereum’s success has a downside: network congestion. High gas fees and slow TPS (just ~15-30/sec) plague users daily. But hope is brewing with parallel and async execution. Let’s unpack how these could be game-changers. 🚦💸
2 replies
2 recasts
8 reactions
boubker.base.eth
@boubker99.eth
2/14 🔄 The Sequential Bottleneck Today, @ethereum’s EVM processes transactions one at a time—like a single cashier handling all Walmart checkout lines. This sequential model creates bottlenecks, especially during DeFi/NFT frenzies. Time for a multi-cashier approach! 🛒⏳ 3/14 ⚡ Parallel Execution: Turbocharging Throughput Imagine splitting transactions into lanes. If two TXs don’t touch the same contract/data, why not run them simultaneously? Parallel execution could boost TPS 10-100x, akin to @solana’s Sealevel runtime. Key word: non-conflicting state access. 🛣️💨 4/14 🤝 How Parallelism Works Projects like @fuel-network use “UTXO-like” models to track state dependencies. Others use optimistic concurrency (assume no conflicts, revert if wrong). @vitalik.eth’s “State Expiry” proposal could also help by reducing state bloat, making parallelism easier. 🧩🔍
1 reply
0 recast
0 reaction
boubker.base.eth
@boubker99.eth
6/14 🌉 Layer 2s Leading the Charge @starknet (ZK-rollups) and @optimism (OP-rollups) already use async models. Fuel’s Sway Language automates state dependency tagging, enabling parallel execution. Even @ethereum’s roadmap (proto-danksharding) aids L2 parallelism via cheaper data storage. 🏗️📊 7/14 📈 Benefits: Speed, Scalability, UX Faster finality: No waiting for block confirmations. Lower fees: More TPS = cheaper TXs. Better composability: Async calls let dApps “talk” across chains without blocking. 8/14 ⚠️ Challenges Ahead State conflicts: Parallelism requires detecting dependencies. Security risks: Async models rely on fraud/ZK proofs. EVM upgrades: Hard to retrofit parallelism into a single-threaded EVM.
1 reply
0 recast
0 reaction
boubker.base.eth
@boubker99.eth
9/14 🔬 Current Research & Projects EIP-2930: Access lists pre-declare state, aiding conflict detection. @fuel-network: Parallel EVM via UTXO-inspired model. ZK-tech: Async execution via validity proofs (StarkWare).
1 reply
0 recast
0 reaction
boubker.base.eth
@boubker99.eth
10/14 🔄 Async Flow in Action User sends TX to rollup. Rollup processes it off-chain. Proof posted to Ethereum. Finalized in 1-2 blocks. 11/14 📊 Scalability Leap With parallelism, Ethereum L2s could hit 10,000+ TPS. Combined with danksharding, even 100k TPS isn’t a pipe dream.
1 reply
0 recast
0 reaction
boubker.base.eth
@boubker99.eth
12/14 🔮 The Road Ahead Ethereum’s endgame? A modular ecosystem: L1 for security, L2s for scale. Parallel/async execution will be key. Next stops: EIP-4844 (proto-danksharding) and Verkle Trees for stateless clients. 13/14 💡 Why This Matters Scalability isn’t just about speed—it’s about accessibility. Lower fees and faster TXs mean Ethereum can onboard billions, not just whales. 14/14 🌟 Final Thoughts Parallel and async execution aren’t magic, but they’re the closest thing to it for Ethereum’s scalability. As L2s innovate and core upgrades roll in, Ethereum is poised to become the base layer for a global, decentralized economy. Stay tuned! 🚀
0 reply
0 recast
0 reaction
