By Topic

SAD kernels: a software tool to evaluate synchronization behavior of multiprocessors

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)
A. Nanda ; Dept. of Comput. Sci., Michigan State Univ., East Lansing, MI, USA ; L. M. Ni

The authors propose a method to characterize the performance of multiprocessor systems at the level of a single grain, called a unit grain, of execution. The characterization is via experimental measurement of individual components of performance. The authors introduce a family of artificial workload kernels, called SAD-kernels, as an effective tool for measuring this performance. The usefulness of these kernels lies in their ability to selectively assess a given shared-memory multiprocessor along several performance dimensions that can be controlled by the person performing the evaluation. The proposed methodology was demonstrated by measuring and comparing the performance of two commercial shared-memory machines currently in use

Published in:

Computer Software and Applications Conference, 1992. COMPSAC '92. Proceedings., Sixteenth Annual International

Date of Conference:

21-25 Sep 1992