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Characterizing WebAssembly Bytecode

Authors:

Yuxin Qin,

Dejice Jacob,

Jeremy SingerAuthors Info & Claims

MPLR '22: Proceedings of the 19th International Conference on Managed Programming Languages and Runtimes

Pages 147 - 148

https://doi.org/10.1145/3546918.3560809

Published: 30 November 2022 Publication History

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Abstract

WebAssembly, known as Wasm, is an interpreted portable bytecode execution format that is growing in popularity. In this work, we perform a simple pair of characterizations of Wasm. Statically, we compare the instruction set to other portable bytecodes like JVM and PCODE, showing that Wasm operates at a lower abstraction level than JVM, similar to PCODE. Dynamically, we study the Wasm instruction mix for a set of common benchmark applications. This investigation reveals that, like JVM, data movement operations occur most frequently in instruction traces. We conclude by discussing possible future directions for optimizing Wasm execution.

References

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Erik J Gilbert and David Wayne Wall. 1978. P-Code Intermediate Assembler Language: PAIL 4. Computer Systems Laboratory, Stanford University.

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Andreas Haas, Andreas Rossberg, Derek L. Schuff, Ben L. Titzer, Michael Holman, Dan Gohman, Luke Wagner, Alon Zakai, and JF Bastien. 2017. Bringing the Web up to Speed with WebAssembly. In Proceedings of the 38th ACM SIGPLAN Conference on Programming Language Design and Implementation. 185–200. https://doi.org/10.1145/3062341.3062363

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Abhinav Jangda, Bobby Powers, Emery D Berger, and Arjun Guha. 2019. Not So Fast: Analyzing the Performance of WebAssembly vs. Native Code. In USENIX Annual Technical Conference. 107–120.

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Stefan Marr, Benoit Daloze, and Hanspeter Mössenböck. 2016. Cross-Language Compiler Benchmarking: Are We Fast Yet?. In Proceedings of the 12th Symposium on Dynamic Languages. 120–131. https://doi.org/10.1145/2989225.2989232

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Ramesh Radhakrishnan, Narayanan Vijaykrishnan, Lizy Kurian John, Anand Sivasubramaniam, Juan Rubio, and Jyotsna Sabarinathan. 2001. Java runtime systems: Characterization and architectural implications. IEEE Trans. Comput. 50, 2 (2001), 131–146. https://doi.org/10.1109/12.908989

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Yutian Yan, Tengfei Tu, Lijian Zhao, Yuchen Zhou, and Weihang Wang. 2021. Understanding the Performance of WebAssembly Applications. In Proceedings of the 21st ACM Internet Measurement Conference. 533–549. https://doi.org/10.1145/3487552.3487827

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Index Terms

Characterizing WebAssembly Bytecode
1. Software and its engineering
  1. Software notations and tools
    1. Compilers
      1. Interpreters

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Published In

MPLR '22: Proceedings of the 19th International Conference on Managed Programming Languages and Runtimes

September 2022

161 pages

ISBN:9781450396967

DOI:10.1145/3546918

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

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Published: 30 November 2022

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China Scholarship Council
EPSRC

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MPLR '22

MPLR '22: 19th International Conference on Managed Programming Languages and Runtimes

September 14 - 15, 2022

Brussels, Belgium

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A tracing technique using dynamic bytecode instrumentation of Java applications and libraries at basic block level

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