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An Empirical Study of Speculative Concurrency in Ethereum Smart Contracts

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arxiv 1901.01376 v2 pith:3QIVY7CR submitted 2019-01-05 cs.DC

classification cs.DC
keywords speculativecontractsdataethereumconflictsengineexecuteexecution
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We use historical data to estimate the potential benefit of speculative techniques for executing Ethereum smart contracts in parallel. We replay transaction traces of sampled blocks from the Ethereum blockchain over time, using a simple speculative execution engine. In this engine, miners attempt to execute all transactions in a block in parallel, rolling back those that cause data conflicts. Aborted transactions are then executed sequentially. Validators execute the same schedule as miners. We find that our speculative technique yields estimated speed-ups starting at about 8-fold in 2016, declining to about 2-fold at the end of 2017, where speed-up is measured using either gas costs or instruction counts. We also observe that a small set of contracts are responsible for many data conflicts resulting from speculative concurrent execution.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Not All Reads Are Conflicts: A Write-Only Analysis of the Sui Blockchain

    cs.CE 2026-07 conditional novelty 6.0 of 10

    Write-only conflict graphs on Sui mainnet collapse clock-induced stars into assortative cliques, tightening parallelism estimates by 30–40% and exposing 10–50% of USD flow to ordering.

  2. SoK: Concurrency in Blockchain -- A Systematic Literature Review and the Unveiling of a Misconception

    cs.CR 2025-06 reject novelty 5.0 of 10

    This SoK review organizes smart contract concurrency into nine categories and claims that prior race-condition research on Ethereum is based on a false assumption of concurrent transaction execution.

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