17 citations · 34 across the 6 of their papers we have counts for
6 papers
LAMMPS-KOKKOS: Performance Portable Molecular Dynamics Across Exascale Architectures
Anders Johansson, Evan Weinberg, Christian R. Trott +2
Since its inception in 1995, LAMMPS has grown to be a world-class molecular dynamics code, with thousands of users, over one million lines of code, and multi-scale simulation capab…
Improving HISQ propagator solves using deflation
Leon Hostetler, M. A. Clark, Carleton DeTar +2
Typically, the conjugate gradient (CG) algorithm employs mixed precision and even-odd preconditioning to compute propagators for highly improved staggered quarks (HISQ). This appro…
Maximizing the Bang Per Bit
M. A. Clark, Dean Howarth, Jiqun Tu +2
Reducing memory traffic is critical to accelerate Lattice QCD computations on modern processors, given that such computations are memory-bandwidth bound. A commonly used strategy i…
Optimizing Staggered Multigrid for Exascale performance
Venkitesh Ayyar, Richard Brower, M. A. Clark +2
Adaptive multi-grid methods have proven very successful in dealing with critical slow down for the Wilson-Dirac solver in lattice gauge theory. Multi-grid algorithms developed for…
Rapid Exploration of Optimization Strategies on Advanced Architectures using TestSNAP and LAMMPS
Rahulkumar Gayatri, Stan Moore, Evan Weinberg +5
The exascale race is at an end with the announcement of the Aurora and Frontier machines. This next generation of supercomputers utilize diverse hardware architectures to achieve t…
Pushing Memory Bandwidth Limitations Through Efficient Implementations of Block-Krylov Space Solvers on GPUs
M. A. Clark, Alexei Strelchenko, Alejandro Vaquero +2
Lattice quantum chromodynamics simulations in nuclear physics have benefited from a tremendous number of algorithmic advances such as multigrid and eigenvector deflation. These imp…