Utilizing parallelism in smart contracts on decentralized blockchains by taming application-inherent conflicts

Garamvölgyi, Péter; Liu, Yuxi; Zhou, Dong; Long, Fan; Wu, Ming

doi:10.1145/3510003.3510086

Cited by 11 publications

(1 citation statement)

References 15 publications

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“…Concurrency Control Mechanisms in Software. A large body of work [102]- [108] focuses on execution schemes that facilitate the execution of multiple smart contract transactions in parallel. This is different from exploiting parallelism within the contract itself.…”

Section: Related Workmentioning

confidence: 99%

EVMTracer: Dynamic Analysis of the Parallelization and Redundancy Potential in the Ethereum Virtual Machine

Burgstaller

Scholz

2023

IEEE Access

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Ethereum is one of the first blockchains executing smart contracts (financial applications directly executed on the ledger using a virtual machine). The performance of the Ethereum virtual machine has become a bottleneck caused by high volumes of transactions due to blockchain applications, including decentralized finance and non-fungible tokens. Hence, there is a need to detail the execution characteristics of the Ethereum virtual machine before its performance can be improved. This work introduces an off-line Ethereum virtual machine tracer called EVMTracer that produces runtime data dependence graphs from executed transactions as an alternative program representation. From the runtime dependence graphs, we can deduce valuable metrics about program execution characteristics, including the degree of parallelization and computational redundancies in smart contracts. Our experiments encompass all blocks up to 12 M on the Ethereum mainnet. We found a geometric mean of 1.90 × theoretical maximum speedup when executing the smart contracts in parallel and identified 34.97 % of SLOAD instructions as redundant.

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Section: Related Workmentioning

confidence: 99%