Work

Crystality: A Programming Model for Smart Contracts on Parallel EVMs

Year: 2025

Type: conference-paper

Abstract: Scaling blockchain performance through parallel smart contract execution has gained significant attention, as traditional methods remain constrained by the performance of a single virtual machine (VM), even in multi-chain or Layer-2 systems. Parallel VMs offer a compelling solution by enabling concurrent transaction execution within a single smart contract, using multiple CPU cores. However, Ethereum's sequential, shared-everything model limits the efficiency of existing parallel mechanisms, resulting in frequent rollbacks with optimistic methods and high overhead with pessimistic methods due to state dependency analysis and locking.

Source: ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming

DOI: 10.1145/3710848.3710879

Authors: Hao Wang, Minghao Pan, Jiaping Wang

Institution: The Hong Kong University of Science and Technology (Guangzhou)

Language: English

Topic: Blockchain Technology Applications and Security

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W4408029417

FWCI: 5.831

Cites: 21

Cited by: 5

Related to: 10