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Vladyslav Nekriach

dblp:398/4338 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2025
0009-0002-5936-651XORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Software engineering, systems software and programming languages · 1 · 1 first-author · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Distributed systems · 100%
Network and information security
1 paper
Blockchain and cryptocurrency security · 100%

Topics — the 1 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Distributed systems › transaction processing
parallel transaction execution
0.912025
HEMVM: A Heterogeneous Blockchain Framework for Interoperable Virtual Machines · Proc. ACM Program. Lang. 2025

Methods — techniques the papers use, named apart from their topics

parallelization · 1.7
YearPublicationVenuePosition
2025 HEMVM: A Heterogeneous Blockchain Framework for Interoperable Virtual Machines
abstract
This paper introduces HEMVM, an innovative heterogeneous blockchain framework that seamlessly integrates diverse virtual machines (VMs), including the Ethereum Virtual Machine (EVM) and the Move Virtual Machine (MoveVM), into a unified system. This integration facilitates interoperability while retaining compatibility with existing Ethereum and Move toolchains by preserving high-level language constructs. HEMVM's unique cross-VM operations allow users to interact with contracts across various VMs using any wallet software, effectively resolving the fragmentation in user experience caused by differing VM designs. Our experimental results demonstrate that HEMVM is both fast and efficient, incurring minimal overhead (less than 4.4 %) for intra-VM transactions and achieving up to 9300 TPS for cross-VM transactions. Our results also show that the cross-VM operations in HEMVM are sufficiently expressive to support complex decentralized finance interactions across multiple VMs. Finally, the parallelized prototype of HEMVM shows performance improvements up to 44.8 % compared to the sequential version of HEMVM under workloads with mixed transaction types.
Vladyslav Nekriach, Sidi Mohamed Beillahi, Chenxing Li, Peilun Li, Ming Wu 0007, Andreas G. Veneris, Fan Long
Proc. ACM Program. Lang.1