Vector Parallelism in JavaScript: Language and Compiler Support for SIMD

Jibaja, Ivan; Hu, Ningxin; Haghighat, Mohammad R.; McCutchan, John; Gohman, Dan; Blackburn, Stephen M.; McKinley, Kathryn S.

doi:10.1109/pact.2015.33

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Table 2 Accuracy Of Multiplication In Javascript [84]1

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Cited by 13 publications

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“…While several works mention possibility of using the emscripten, we are aware of only one actually using it [23]. Scientific code may in future benefit enormously from technologies such as simd.js [37] allowing JavaScript to use accelerated vector operations. Finally, the recently proposed WebAssembly 7 standard may solve the performance problem.…”

Section: Table 2 Accuracy Of Multiplication In Javascript [84]mentioning

confidence: 99%

Browser-based Harnessing of Voluntary Computational Power

Fabisiak

Danilecki

2017

Foundations of Computing and Decision Sciences

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Abstract. Computers connected to internet represent an immense computing power, mostly unused by their owners. One way to utilize this public resource is via world wide web, where users can share their resources using nothing more except their browsers. We survey the techniques employing the idea of browser-based voluntary computing (BBVC), discuss their commonalities, recognize recurring problems and their solutions and finally we describe a prototype implementation aiming at efficient mining of voluntary-contributed computing power.

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Section: Table 2 Accuracy Of Multiplication In Javascript [84]mentioning

confidence: 99%