By Topic

Computational performance of Java and C++ in processing large biomedical datasets

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
R. Vivanco ; Inst. for Biodiagnostics, Nat. Res. Council of Canada, Winnipeg, Man., Canada ; N. Pizzi

In the analysis of image-based biomedical data, such as functional magnetic resonance imaging (fMRI) or magnetic resonance spectroscopy (fMRI), data sets from 40 to 90 MB are not uncommon, and some experimental fMRI paradigms require as much as 200 MB of storage. Software systems for the analysis of such data require a flexible data model, fast computational techniques and a graphical user interface. Object-oriented programming languages, such as Java and C++, facilitate software reuse and maintainability and provide the foundations for the development of complex data analysis applications. A is paper explores the advantages and disadvantages of using these two programming environments when processing large datasets.

Published in:

Electrical and Computer Engineering, 2002. IEEE CCECE 2002. Canadian Conference on  (Volume:2 )

Date of Conference: