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Graphics Processing Units (GPUs) are having a transformational effect on numerical lattice quantum chromo- dynamics (LQCD) calculations of importance in nuclear and particle physics. The QUDA library provides a package of mixed precision sparse matrix linear solvers for LQCD applications, supporting single GPUs based on NVIDIA's Compute Unified Device(More)
Over the past five years, graphics processing units (GPUs) have had a transformational effect on numerical lattice quantum chromodynamics (LQCD) calculations in nuclear and particle physics. While GPUs have been applied with great success to the post-Monte Carlo "analysis" phase which accounts for a substantial fraction of the workload in a typical LQCD(More)
Modern graphics hardware is designed for highly parallel numerical tasks and provides significant cost and performance benefits. Graphics hardware vendors are now making available development tools to support general purpose high performance computing. Nvidia's CUDA platform, in particular, offers direct access to graphics hardware through a programming(More)
The magnitude of the real-time digital signal processing challenge attached to large radio astronomical antenna arrays motivates use of high performance computing (HPC) systems. The need for high power efficiency at remote observatory sites parallels that in HPC broadly, where efficiency is a critical metric. We investigate how the performance-per-watt of(More)
We discuss the calculation of disconnected diagrams needed for determining the strange quark content of the nucleon on the lattice. We present results for the strange scalar form factor and the related parameter f T s , which enters into the cross-section for the scattering of dark matter off nuclei in supersymmetric extensions of the standard model. In(More)
Lattice Quantum Chromodynamics (LQCD) is a computationally challenging problem that solves the discretized Dirac equation in the presence of an SU(3) gauge field. The most time-consuming computational routine is the application of the discretized Dirac operator (a sparse matrix) to a vector. GPUs have proven to be a popular platform on which to deploy such(More)
The Möbius domain wall action [1] is a generalization of Shamir's action, which gives exactly the same overlap fermion lattice action as the separation (L s) between the domain walls is taken to infinity. The performance advantages of the algorithm are presented for small ensembles of quenched, full QCD domain wall and Gap domain wall lattices [2]. In(More)