By Topic

A fine-grained parallel programming model for grid computing

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

4 Author(s)
Guangwen Yang ; Tsinghua Univ., Beijing, China ; Qing Wang ; Yongwei Wu ; Dazheng Huang

A new fine-grained parallel programming model - Thin Kernel model is brought forth. In this model, the partitions of the parallel tasks are separated from the computational kernel of the problem. The Thin Kernel model produces parallel tasks dynamically at runtime when the tasks are being scheduled which makes the task assignment method in the Thin Kernel model real and distributed. The Thin Kernel model uses dynamic class loading and on-demand code transport. The collaboration of these technologies paves the way for large-scale parallel computing over wide-area networks.

Published in:

Services Computing, 2004. (SCC 2004). Proceedings. 2004 IEEE International Conference on

Date of Conference:

15-18 Sept. 2004