Phaseless Auxiliary-Field Quantum Monte Carlo on Graphical Processing Units.

@article{Shee2018PhaselessAQ,
  title={Phaseless Auxiliary-Field Quantum Monte Carlo on Graphical Processing Units.},
  author={James Shee and Evan J. Arthur and Shiwei Zhang and David R. Reichman and Richard A. Friesner},
  journal={Journal of chemical theory and computation},
  year={2018},
  volume={14 8},
  pages={
          4109-4121
        }
}
We present an implementation of phaseless Auxiliary-Field Quantum Monte Carlo (ph-AFQMC) utilizing graphical processing units (GPUs). The AFQMC method is recast in terms of matrix operations which are spread across thousands of processing cores and are executed in batches using custom Compute Unified Device Architecture kernels and the GPU-optimized cuBLAS matrix library. Algorithmic advances include a batched Sherman-Morrison-Woodbury algorithm to quickly update matrix determinants and… 
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