Density function theory (DFT) is the most widely employed electronic structure method because of its favorable scaling with system size and accuracy for a broad range of molecular and condensed-phase systems. The advent of massively parallel supercomputers has enhanced the scientific community's ability to study larger system sizes. Ground-state DFT calculations on∼103 valence electrons using traditional O(N3) algorithms can be routinely performed on present-day supercomputers. The performance characteristics of these massively parallel DFT codes on>104 computer cores are not well understood. The GPAW code was ported an optimized for the Blue Gene/P architecture. We present our algorithmic parallelization strategy and interpret the results for a number of benchmark test cases.
|Journal||Concurrency and Computation: Practice & Experience|
|Publication status||Published - 2013|
- Blue gene
- Electronic structure
- High-performance computing
- Massive parallelization