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Modern cryptocurrency systems, such as Ethereum, permit complex financial transactions through scripts called smart contracts. These smart contracts are executed many, many times, always without real concurrency. First, all smart contracts…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-02-16 Thomas Dickerson , Paul Gazzillo , Maurice Herlihy , Eric Koskinen

Traditional public blockchain systems typically had very limited transaction throughput because of the bottleneck of the consensus protocol itself. With recent advances in consensus technology, the performance limit has been greatly lifted,…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-02-11 Péter Garamvölgyi , Yuxi Liu , Dong Zhou , Fan Long , Ming Wu

Blockchain platforms such as Ethereum and several others execute complex transactions in blocks through user-defined scripts known as smart contracts. To append a correct block into blockchain, miners execute these transactions of smart…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-01-15 Parwat Singh Anjana , Sweta Kumari , Sathya Peri , Sachin Rathor , Archit Somani

Ethereum clients execute transactions in a sequential order prescribed by the consensus protocol. This is a safe and conservative approach to blockchain transaction processing which forgoes running transactions in parallel even when doing…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-01-31 Nadi Sarrar

Popular blockchains such as Ethereum and several others execute complex transactions in blocks through user-defined scripts known as smart contracts. Serial execution of smart contract transactions/atomic-units (AUs) fails to harness the…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-02-18 Parwat Singh Anjana , Sweta Kumari , Sathya Peri , Sachin Rathor , Archit Somani

One of the main bottlenecks of blockchains is smart contract execution. To increase throughput, modern blockchains try to execute transactions in parallel. Unfortunately, however, common blockchain use cases introduce read-write conflicts…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-05-13 George Mitenkov , Igor Kabiljo , Zekun Li , Alexander Spiegelman , Satyanarayana Vusirikala , Zhuolun Xiang , Aleksandar Zlateski , Nuno P. Lopes , Rati Gelashvili

Many blockchains such as Ethereum execute all incoming transactions sequentially significantly limiting the potential throughput. A common approach to scale execution is parallel execution engines that fully utilize modern multi-core…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-02-17 Ray Neiheiser , Eleftherios Kokoris-Kogias

In this paper, we explore remarkable similarities between multi-transactional behaviors of smart contracts in cryptocurrencies such as Ethereum and classical problems of shared-memory concurrency. We examine two real-world examples from the…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-02-21 Ilya Sergey , Aquinas Hobor

The development of blockchain technologies has enabled the trustless execution of so-called smart contracts, i.e. programs that regulate the exchange of assets (e.g., cryptocurrency) between users. In a decentralized blockchain, the state…

Programming Languages · Computer Science 2020-04-28 Massimo Bartoletti , Letterio Galletta , Maurizio Murgia

Despite the success in various scenarios, blockchain systems, especially EVM-compatible ones that serially execute transactions, still face the significant challenge of limited throughput. Concurrent transaction execution is a promising…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-11-18 Haoran Lin , Yajin Zhou , Lei Wu

Ethereum smart contracts operate in a concurrent environment where multiple transactions can be submitted simultaneously. However, the Ethereum Virtual Machine (EVM) enforces sequential execution of transactions within each block to prevent…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-07-23 Atefeh Zareh Chahoki , Marco Roveri

As the number of decentralized applications and users on Ethereum grows, the ability of the blockchain to efficiently handle a growing number of transactions becomes increasingly strained. Ethereums current execution model relies heavily on…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-04-03 Souradeep Das , Konpat Preechakul , Jonas Bäumer , Riddhi Patel , Jefferson Jinchuan Li

Conthereum is a concurrent Ethereum solution for intra-block parallel transaction execution, enabling validators to utilize multi-core infrastructure and transform the sequential execution model of Ethereum into a parallel one. This shift…

Cryptography and Security · Computer Science 2025-07-23 Atefeh Zareh Chahoki , Maurice Herlihy , Marco Roveri

This work unifies insights from the systems and functional programming communities, in order to enable compositional reasoning about software which is nonetheless efficiently realizable in hardware. It exploits a correspondence between…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-03-18 Thomas Dickerson

Ethereum, a leading blockchain platform, has revolutionized the digital economy by enabling decentralized transactions and the execution of smart contracts. Ethereum transactions form the backbone of its network, facilitating peer-to-peer…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-07-30 Dvir David Biton , Roy Friedman , Yaron Hay

Consensus protocols are currently the bottlenecks that prevent blockchain systems from scaling. However, we argue that transaction execution is also important to the performance and security of blockchains. In other words, there are ample…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-07-15 Daniël Reijsbergen , Tien Tuan Anh Dinh

This paper presents a comprehensive analysis of historical data across two popular blockchain networks: Ethereum and Solana. Our study focuses on two key aspects: transaction conflicts and the maximum theoretical parallelism within…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-05-14 Parwat Singh Anjana , Srivatsan Ravi , Maurice Herlihy

Today's blockchains suffer from low throughput and high latency, which impedes their widespread adoption of more complex applications like smart contracts. In this paper, we propose a novel paradigm for smart contract execution. It…

Cryptography and Security · Computer Science 2023-06-09 Jian Liu , Peilun Li , Raymond~Cheng , N. Asokan , Dawn Song

The main problem faced by smart contract platforms is the amount of time and computational power required to reach consensus. In a classical blockchain model, each operation is in fact performed by each node, both to update the status and…

Cryptography and Security · Computer Science 2021-11-11 Alessio Meneghetti , Tommaso Parise , Massimiliano Sala , Daniele Taufer

Modern blockchains increasingly rely on parallel execution to improve throughput. We show several industry and academic transaction fee mechanisms (TFMs) struggle to simultaneously account for execution parallelism while remaining…

Cryptography and Security · Computer Science 2026-04-07 Sarisht Wadhwa , Aviv Yaish , Fan Zhang , Kartik Nayak
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