Publications
Publication Information
| Title | National software infrastructure for lattice quantum chromodynamics |
| Authors | Richard Brower,Robert Edwards,Donald Holmgren,Robert Mawhinney,William Watson,Yuhong Zhang |
| JLAB number | JLAB-THY-06-610 |
| LANL number | (None) |
| Other number | DOE/ER/40150-5012 |
| Document Type(s) | (Meeting) |
| Supported by U.S. Naval Research: | No |
| Supported by Jefferson Lab LDRD Funding: | No |
|
Meeting Paper compiled for SciDAC 2006: Scientific Discovery through Advanced Computing Proceedings Proceedings of SciDAC 2006 (JPhys:Conf Series 46) Edited By IoP Journal of Physics: Conference Series (2006) Page(s) 142-146 | |
| Publication Abstract: | Quantum chromodynamics (QCD) is the widely accepted theory of the strong interactions of quarks and gluons. Only through large scale numerical simulation has it been possible to work out the predictions of this theory for a vast range of phenomena relevant to the US Department of Energy experimental program. Such simulations are essential to support the discovery of new phenomena and more fundamental interactions. With support from SciDAC the USQCD collaboration has developed software and prototyped custom computer hardware to carry out the required numerical simulations. We have developed a robust, portable data-parallel code suite. It provides a user-friendly basis for writing physics application codes for carrying out the calculations needed to predict the phenomenology of QCD. We are using this efficient and optimized code base to develop new physics application code, to improve the performance of legacy code, and to construct higher level tools, such as QCD-specific sparse matrix solvers. We give a brief overview of the design of the data parallel API and its various components. We describe performance gains achieved in the past year. Finally, we present plans for further improvements under SciDAC-2. |
| Experiment Numbers: | other |
| Group: | THEORY CENTER |
| Document: | |
| DOI: | |
| Accepted Manuscript: | |
| Supporting Documents: | |
| Supporting Datasets: | |