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PPoPP2023顶会

Block-STM: Scaling Blockchain Execution by Turning Ordering Curse to a Performance Blessing

Rati Gelashvili, Alexander Spiegelman, Zhuolun Xiang, George Danezis, Zekun Li, Dahlia Malkhi, Yu Xia, Runtian Zhou

2023年份
49被引次数
16顶会引用

摘要

Block-STM is a parallel execution engine for smart contracts, built around the principles of Software Transactional Memory. Transactions are grouped in blocks, and every execution of the block must yield the same deterministic outcome. Block-STM further enforces that the outcome is consistent with executing transactions according to a preset order, leveraging this order to dynamically detect dependencies and avoid conflicts during speculative transaction execution. At the core of Block-STM is a novel, low-overhead collaborative scheduler of execution and validation tasks.

Block-STM is implemented on the main branch of the Diem Blockchain code-base and runs in production at Aptos. Our evaluation demonstrates that Block-STM is adaptive to workloads with different conflict rates and utilizes the inherent parallelism therein. Block-STM achieves up to 110𝑘 tps in the Diem benchmarks and up to 170𝑘 tps in the Aptos Benchmarks, which is a 20x and 17x improvement over the sequential baseline with 32 threads, respectively. The throughput on a contended workload is up to 50𝑘 tps and 80𝑘 tps in Diem and Aptos benchmarks, respectively.

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