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Climbing the summit and pushing the frontier of mixed precision benchmarks at extreme scale
The rise of machine learning (ML) applications and their use of mixed precision to perform
interesting science are driving forces behind AI for science on HPC. The convergence of ML …
interesting science are driving forces behind AI for science on HPC. The convergence of ML …
Scalable hybrid implementation of the Schur complement method for multi-GPU systems
S Kopysov, I Kuzmin, N Nedozhogin, A Novikov… - The Journal of …, 2014 - Springer
This paper presents a new hybrid solver based on the Schur complement method, in which
computations are distributed between multiple CPUs and GPUs. In this solver, the Schur …
computations are distributed between multiple CPUs and GPUs. In this solver, the Schur …
[HTML][HTML] Delayed Slater determinant update algorithms for high efficiency quantum Monte Carlo
T McDaniel, EF D'Azevedo, YW Li, K Wong… - The Journal of …, 2017 - pubs.aip.org
Within ab initio Quantum Monte Carlo simulations, the leading numerical cost for large
systems is the computation of the values of the Slater determinants in the trial wavefunction …
systems is the computation of the values of the Slater determinants in the trial wavefunction …
Modeling series compensation effect on the bus impedance matrix for online applications
AMI Aldaoudeyeh, D Wu - Electric Power Systems Research, 2019 - Elsevier
This paper derives new expressions for updating Bus Impedance Matrix (Z bus) elements to
account for the modification of the series impedance of a line connected between two …
account for the modification of the series impedance of a line connected between two …