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pWeb: A High-Performance, Parallel-Computing Framework for Web-Browser-Based Medical Simulation.

Tansel Halic¹, Woojin Ahn², Suvranu De²

¹Computer Science Department, University of Central Arkansas, Conway, AR, USA.

Studies in Health Technology and Informatics

|April 16, 2014

Summary

This summary is machine-generated.

This study introduces pWeb, a new language and compiler to speed up web applications. It enhances parallel processing for complex tasks like surgical simulations directly in web browsers.

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Area of Science:

Computer Science
Web Technologies
Parallel Computing

Background:

HTML5 enables advanced web applications, but browser performance limits computationally intensive tasks.
Existing web technologies lack efficient support for parallel programming models like fork/join.
Client-side applications like surgical simulations face performance bottlenecks.

Purpose of the Study:

To introduce pWeb, a novel language and compiler for parallelizing client-side web applications.
To address the performance limitations of computationally intensive web applications.
To enable advanced parallel programming features within the HTML5 environment.

Main Methods:

Developed pWeb, a new language incorporating fundamental parallel programming constructs.
Utilized HTML5 web workers for multithreaded programming capabilities.
Implemented a compiler that generates compliant HTML5 parallel scripts.
Integrated the fork/join parallel model, not natively supported by web workers.

Main Results:

pWeb enables multithreaded programming for client-side web applications.
The pWeb compiler automatically generates efficient, standard-compliant parallel scripts.
A case study on surgical simulations showed significantly enhanced performance.
The system achieved improved performance with a concise instruction set.

Conclusions:

pWeb effectively overcomes performance bottlenecks in client-side web applications.
The language and compiler facilitate advanced parallel computing on the web.
pWeb offers a viable solution for computationally demanding web-based simulations and visualizations.