This proposal aims to develop parallel linear scaling algorithms for density functional theory (DFT) calculations. DFT calculations are the most widely used electronic structure methods, because at present they offer the best compromise between computational cost (typically between linear and cubic scaling) and accuracy (typically a few kcal/mol for chemical reactions). DFT calculations are widely used for exploring chemical reaction mechanisms, and there is strong demand to increase the size of treatable systems at the current limit of feasibility. The opportunity is to leverage the greatly increased power and greatly reduced cost of workstation/PC clusters in combination with linear scaling algorithms that replace the diagonalization step. This step is at present most challenging in very large-scale DFT calculations, and is also least satisfactorily parallelized in conventional DFT codes. New linear scaling algorithms with increased efficiency will be sought, and customized tools for performing sparse linear algebra in parallel will be developed. The result will be the first widely distributed electronic structure program with this twin capability of scalability with respect to number of processors (via efficient parallelization) and scalability with respect to problem size (via true linear scaling algorithms).

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Small Business Innovation Research Grants (SBIR) - Phase I (R43)
Project #
1R43GM069255-01
Application #
6692831
Study Section
Special Emphasis Panel (ZRG1-SSS-L (10))
Program Officer
Li, Jerry
Project Start
2003-09-01
Project End
2004-08-31
Budget Start
2003-09-01
Budget End
2004-08-31
Support Year
1
Fiscal Year
2003
Total Cost
$106,913
Indirect Cost
Name
Q-Chem, Inc.
Department
Type
DUNS #
837635556
City
Pittsburgh
State
PA
Country
United States
Zip Code
15213