• pWeb: A High-Performance, Para...

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

Title:
pWeb: A High-Performance, Parallel-Computing Framework for Web-Browser-Based Medical Simulation.
Authors:
Halic T; Computer Science Department, University of Central Arkansas, Conway, AR, USA., Ahn W; Center for Modeling, Simulation and Imaging in Medicine (CeMSIM), Rensselaer Polytechnic Institute, Troy, NY, USA., De S; Center for Modeling, Simulation and Imaging in Medicine (CeMSIM), Rensselaer Polytechnic Institute, Troy, NY, USA.
Source:
Studies in health technology and informatics [Stud Health Technol Inform] 2014; Vol. 196, pp. 150-4.
Publication Type:
Journal Article
Language:
English
Journal Info:
Publisher: IOS Press Country of Publication: Netherlands NLM ID: 9214582 Publication Model: Print Cited Medium: Internet ISSN: 1879-8365 (Electronic) Linking ISSN: 09269630 NLM ISO Abbreviation: Stud Health Technol Inform
Imprint Name(s):
Original Publication: Amsterdam ; Washington, DC : IOS Press, 1991-
MeSH Terms:
Internet* , Programming Languages* , Simulation Training*, General Surgery/*education, Humans
Entry Date(s):
Date Created: 20140416 Date Completed: 20170418 Latest Revision: 20170418
Update Code:
20260130
PMID:
24732497
Database:
MEDLINE

*Further Information*

*This work presents a pWeb - a new language and compiler for parallelization of client-side compute intensive web applications such as surgical simulations. The recently introduced HTML5 standard has enabled creating unprecedented applications on the web. Low performance of the web browser, however, remains the bottleneck of computationally intensive applications including visualization of complex scenes, real time physical simulations and image processing compared to native ones. The new proposed language is built upon web workers for multithreaded programming in HTML5. The language provides fundamental functionalities of parallel programming languages as well as the fork/join parallel model which is not supported by web workers. The language compiler automatically generates an equivalent parallel script that complies with the HTML5 standard. A case study on realistic rendering for surgical simulations demonstrates enhanced performance with a compact set of instructions.*