Optimising a 3D multigrid algorithm for the IA-64 architecture Online publication date: Tue, 04-Nov-2008
by Markus Sturmer, Jan Treibig, Ulrich Rude
International Journal of Computational Science and Engineering (IJCSE), Vol. 4, No. 1, 2008
Abstract: Multigrid methods are amongst the most efficient algorithms to numerically solve partial differential equations. However, standard implementations usually cannot exploit the potential of modern processors. The IA-64 architecture transferes most complexity to the software side to provide a highly superscalar design with large caches, leading to unique control over the actual execution. Exemplified on a simple multigrid solver equation in 3D and the Itanium 2 processor, we present how known performance optimisation techniques can be successfully combined. While implementation details are specific, the optimisation concept should be applicable for a wide range of numerical algorithm and CPUs.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Computational Science and Engineering (IJCSE):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com