4 citations · 9 across the 4 of their papers we have counts for
5 papers
Accelerating High-Order Finite Element Simulations at Extreme Scale with FP64 Tensor Cores
Jiqun Tu, Ian Karlin, John Camier +4
Finite element simulations play a critical role in a wide range of applications, from automotive design to tsunami modeling and computational electromagnetics. Performing these sim…
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…
Solving DWF Dirac Equation Using Multi-splitting Preconditioned Conjugate Gradient with Tensor Cores on NVIDIA GPUs
Jiqun Tu, M. A. Clark, Chulwoo Jung +1
We show that using the multi-splitting algorithm as a preconditioner for the domain wall Dirac linear operator, arising in lattice QCD, effectively reduces the inter-node communica…
Solving DWF Dirac Equation Using Multisplitting Preconditioned Conjugate Gradient
Jiqun Tu
We show that using the multisplitting algorithm as a preconditioner for conjugate gradient inversion of the domain wall fermion Dirac operator could effectively reduce the inter-no…
Solving DWF Dirac Equation Using Multisplitting Preconditioned Conjugate Gradient
Duo Guo, Robert Mawhinney, Jiqun Tu
We show that using the multisplitting algorithm as a preconditioner for conjugate gradient inversion of the domain wall Dirac operator could effectively reduce the inter- node comm…