Understanding the performance of webassembly applications-Reference-Cited by-同舟云学术

Understanding the performance of webassembly applications

Published:2021-11-02 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 21st ACM Internet Measurement Conference
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Author:

Yan Yutian¹,Tu Tengfei²,Zhao Lijian²,Zhou Yuchen²,Wang Weihang¹

Affiliation:

1. University at Buffalo

2. Beijing University of Posts and Telecommunications

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3487552.3487827

Reference92 articles.

1. 2019. IEEE Standard for Floating-Point Arithmetic. 2019. IEEE Standard for Floating-Point Arithmetic.

2. 2020. Project Website. https://benchmarkingwasm.github.io/BenchmarkingWebAssembly/ 2020. Project Website. https://benchmarkingwasm.github.io/BenchmarkingWebAssembly/

3. An efficient method for uncertainty propagation in robust software performance estimation

4. Android. 2020. Android Debug Bridge (adb). https://developer.android.com/studio/command-line/adb Android. 2020. Android Debug Bridge (adb). https://developer.android.com/studio/command-line/adb

5. asm.js. 2020. asm.js - an extraordinarily optimizable low-level subset of JavaScript. http://asmjs.org/ asm.js. 2020. asm.js - an extraordinarily optimizable low-level subset of JavaScript. http://asmjs.org/

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