136 citations · 173 across the 6 of their papers we have counts for
6 papers
Memory Reduction using a Ring Abstraction over GPU RDMA for Distributed Quantum Monte Carlo Solver
Weile Wei, Eduardo D'Azevedo, Kevin Huck +3
Scientific applications that run on leadership computing facilities often face the challenge of being unable to fit leading science cases onto accelerator devices due to memory con…
Integrating Deep Learning in Domain Sciences at Exascale
Rick Archibald, Edmond Chow, Eduardo D'Azevedo +8
This paper presents some of the current challenges in designing deep learning artificial intelligence (AI) and integrating it with traditional high-performance computing (HPC) simu…
Targeting Multiple States in the Density Matrix Renormalization Group with The Singular Value Decomposition
E. F. D'Azevedo, W. R. Elwasif, N. D. Patel +1
In the Density Matrix Renormalization Group (DMRG), multiple states must be included in the density matrix when properties beyond ground state are needed, including temperature dep…
Electrostatic gyrokinetic simulation of global tokamak boundary plasma and the generation of nonlinear intermittent turbulence
S. Ku, R. M. Churchill, C. S. Chang +5
Boundary plasma physics plays an important role in tokamak confinement, but is difficult to simulate in a gyrokinetic code due to the scale-inseparable nonlocal multi-physics in ma…
An Integrated Programming and Development Environment for Adiabatic Quantum Optimization
Travis S. Humble, Alex J. McCaskey, Ryan S. Bennink +5
Adiabatic quantum computing is a promising route to the computational power afforded by quantum information processing. The recent availability of adiabatic hardware has raised cha…
Pseudogap and antiferromagnetic correlations in the Hubbard model
Alexandru Macridin, Mark Jarrell, Thomas Maier +2
Using the dynamical cluster approximation and quantum monte carlo we calculate the single-particle spectra of the Hubbard model with next-nearest neighbor hopping . In the unde…