发表机构
Gen Labs（Gen实验室）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
GridSMR通过先执行后共识架构和账户级原子性实现因果压缩，使分片区块链跨分片延迟不随因果深度增长，显著提升吞吐量并降低因果链延迟。
AI 中文摘要
我们提出了GridSMR，一种分片区块链，它能够水平扩展执行能力，同时允许依赖性的跨分片操作在单个区块内推进。现有的分片系统通常将协调放在依赖性的跨分片步骤之间，导致延迟随因果深度增长。GridSMR将原子性局部化到单个账户，并异步执行跨账户工作。采用先执行后共识的架构，依赖操作在可用时跨分片执行，而共识随后验证并提交生成的调度。这实现了因果压缩：跨分片延迟无需随计算的因果深度增长。GridSMR将单验证器执行扩展到每秒107万请求，四验证器执行扩展到每秒19.3万已提交请求，同时将16跳因果链延迟相比延迟执行降低了8.2倍。
英文摘要
We present GridSMR, a sharded blockchain that scales execution horizontally while allowing dependent cross-shard operations to progress within a single block. Existing sharded systems typically place coordination between dependent cross-shard steps, making latency grow with causal depth. GridSMR localizes atomicity to individual accounts and executes cross-account work asynchronously. Using an execute-before-agree architecture, dependent operations execute across shards as they become available, while consensus later validates and commits the resulting schedule. This enables Causal Compression: cross-shard latency need not grow with the causal depth of a computation. GridSMR scales single-validator execution to 1.07M requests/s and four-validator execution to 193K committed requests/s, while reducing 16-hop causal-chain latency by 8.2x versus deferred execution.
