Treffer: Using Javascript and WebCL for numerical computations: a comparative study of native and web technologies

Title:
Using Javascript and WebCL for numerical computations: a comparative study of native and web technologies
Authors:
Faiz Khan, Vincent Foley-Bourgon, Sujay Kathrotia, Erick Lavoie, Laurie Hendren
Contributors:
The Pennsylvania State University CiteSeerX Archives
Source:
http://ericklavoie.com/pubs/dls2014.pdf.
Publisher Information:
ACM
Collection:
CiteSeerX
Document Type:
Fachzeitschrift text
File Description:
application/pdf
Language:
English
Relation:
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1045.8576; http://ericklavoie.com/pubs/dls2014.pdf
Availability:
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1045.8576
http://ericklavoie.com/pubs/dls2014.pdf
Rights:
Metadata may be used without restrictions as long as the oai identifier remains attached to it.
Accession Number:
edsbas.8DB5EE99
Database:
BASE

Weitere Informationen

From its modest beginnings as a tool to validate forms, JavaScript is now an industrial-strength language used to power online applications such as spreadsheets, IDEs, image editors and even 3D games. Since all modern web browsers support JavaScript, it provides a medium that is both easy to distribute for developers and easy to access for users. This paper provides empirical data to answer the question: Is JavaScript fast enough for numerical computations? By measuring and comparing the runtime performance of benchmarks representative of a wide variety of scientific applications, we show that sequential JavaScript is within a factor of 2 of native code. Parallel code using WebCL shows speed improvements of up to 2.28 over JavaScript for the majority of the benchmarks.