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Konrad Moron

dblp:351/1870 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2025
0009-0001-2506-097XORCID · reported

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

Systems, architecture and hardware · 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.

Software engineering, system software, and programming languages
1 paper
Programming languages and type systems · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Performance modeling and evaluation · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Programming languages and type systems
webassembly
0.912025
Benchmarking WebAssembly for Embedded Systems · ACM Trans. Archit. Code Optim. 2025
Performance modeling and evaluation
benchmarking
0.312025
Benchmarking WebAssembly for Embedded Systems · ACM Trans. Archit. Code Optim. 2025

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

benchmarking · 1.7
YearPublicationVenuePosition
2025 Benchmarking WebAssembly for Embedded Systems
abstract
WebAssembly is a modern, low-level virtual machine with designed for improved application performance in web browsers. Recently, WebAssembly gained interest for its use outside the web, for example as a replacement for serverless container runtimes. A number of non-web WebAssembly implementations are actively supported, some of which target microcontrollers, IoT devices, and embedded systems. Such hardware platforms have strict resource constraints which may render the usage of WebAssembly impossible or too costly, for example, due to its performance overhead and memory requirements. However, it is currently unclear what performance to expect of WebAssembly on low-resource microcontrollers compared with machine code and alternative application virtual machines. To answer this question, we evaluated the processing overhead and memory characteristics of WebAssembly application virtual machines on microcontrollers, and compared it to native execution, and the established application virtual machines: MicroPython and Lua. Furthermore, we analyzed the feature-set and architecture of the WebAssembly implementations in more detail, and measured the performance impact different runtime features have. We found that WebAssembly, despite its high extensibility and versatility in supported source languages, application paradigms, and target hardware, delivers very competitive performance. We conclude that WebAssembly can find wider industry usage for embedded systems and could replace other more costly or less flexible virtualization techniques, such as Java.
Konrad Moron, Stefan Wallentowitz
ACM Trans. Archit. Code Optim.1