The proposed project approaches the problem of library development by a fundamentally different approach -- one in which the knowledge abstractions at an appropriate level are represented and then this knowledge is converted into implementations optimized for different target platforms and circumstances. The primary intellectual merit here is the automation of high quality numerical code generation.

The broader impact is that abstraction driven automation for library developers can significantly cut down the "software gap" -- delay between development of new architectures and new software that maximizes its use. The impact of this will be broad across all disciplines that use HPC.

Agency
National Science Foundation (NSF)
Institute
Division of Advanced CyberInfrastructure (ACI)
Type
Standard Grant (Standard)
Application #
0850750
Program Officer
M. Mimi McClure
Project Start
Project End
Budget Start
2009-06-01
Budget End
2012-05-31
Support Year
Fiscal Year
2008
Total Cost
$310,000
Indirect Cost
Name
University of Texas Austin
Department
Type
DUNS #
City
Austin
State
TX
Country
United States
Zip Code
78712