Dongarra, J and Bosilca, G and Chen, Z and Eijkhout, V and Fagg, GE and Fuentes, E and Langou, J and Luszczek, P and Pjesivac-Grbovic, J and Seymour, K and You, H and Vadhiyar, SS (2006) Self-adapting numerical software(SANS)effort. In: P=ac2 Conference, SEP 28-30, 2005, Yorktown Heights, NY,.
8.pdf - Published Version
Restricted to Registered users only
Download (445Kb) | Request a copy
The challenge for the development of next-generation software is the successful management of the complex computational environment while delivering to the scientist the full power of flexible compositions of the available algorithmic alternatives. Self-adapting numerical software (SANS) systems are intended to meet this significant challenge. The process of arriving at an efficient numerical solution of problems in computational science involves numerous decisions by a numerical expert. Attempts to automate such decisions distinguish three levels: algorithmic decision, management of the parallel environment, and processor-specific tuning. of kernels. Additionally, at any of these levels we can decide to rearrange the users data. In this paper we look at a number of efforts at the University of Tennessee to investigate these areas.
|Item Type:||Conference Paper|
|Additional Information:||Copyright of this article belongs to International Business Machines Corporation.|
|Department/Centre:||Division of Information Sciences > Supercomputer Education & Research Centre|
|Date Deposited:||09 Apr 2009 05:06|
|Last Modified:||19 Sep 2010 04:59|
Actions (login required)