Quantum Dynamics at Scale: Ultrafast Control of Emergent Functional Materials

Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region(2020)

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摘要
Confluence of extreme-scale quantum dynamics simulations (i.e. [email protected]) and cutting-edge x-ray free-electron laser experiments are revolutionizing materials science. An archetypal example is the exciting concept of using picosecond light pulses to control emergent material properties on demand in atomically-thin layered materials. This paper describes efforts to scale our quantum molecular dynamics engine toward the United States' first exaflop/s computer, under an Aurora Early Science Program project named "Metascalable layered material genome". Key algorithmic and computing techniques incorporated are: (1) globally-scalable and locally-fast solvers within a linear-scaling divide-conquer-recombine algorithmic framework; (2) algebraic 'BLASification' of computational kernels; and (3) data alignment and loop restructuring, along with register and cache blocking, for enhanced vectorization and efficient memory access. The resulting weak-scaling parallel efficiency was 0.93 on 131,072 Intel Xeon Phi cores for a 56.6 million atom (or 169 million valence-electron) system, whereas the various code transformations achieved 5-fold speedup. The optimized simulation engine allowed us for the first time to establish a significant effect of substrate on the dynamics of layered material upon electronic excitation.
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关键词
Algebraic BLASification, Divide-conquer-recombine algorithm, Globally-scalable and locally-fast solver, Layered material, Photo-excitation, Quantum molecular dynamics simulation, Register and cache blocking, Substrate effect, Vectorization
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