Graphics Processing Units (GPUs) are having a transformational effect on numerical lattice
quantum chromo-dynamics (LQCD) calculations of importance in nuclear and particle …

We implement image correlation, a fundamental component of many real-time imaging and
tracking systems, on a graphics processing unit (GPU) using NVIDIA's CUDA platform. We …

We present an implementation of the improved staggered quark action lattice QCD
computation designed for execution on a GPU cluster. The parallelization strategy is based …

We present a novel architecture of parallel contingency analysis that accelerates massive
power flow computation using cloud computing. It leverages cloud computing to investigate …

Computing the actions of Wilson-Dirac operator contributes most of the CPU time for the
grand challenge problem of simulating Lattice Quantum Chromodynamics (Lattice QCD) …

Modern graphics hardware is designed for highly parallel numerical tasks and provides
significant cost and performance benefits. Graphics hardware vendors are now making …

Efficient SIMDization and data management of the Lattice QCD computation on the Cell
Broadband Engine Page 1 Scientific Programming 17 (2009) 153–172 153 DOI 10.3233/SPR-2009-0275 …

The new edge-directed interpolation (NEDI) algorithm is non-iterative and orientation-
adaptive. It achieves better edge performance in enhancing remote sensing images and …

The study and design of a very ambitious petaflop cluster exclusively dedicated to Lattice
QCD simulations started in early'08 among a consortium of 7 laboratories (IN2P3, CNRS …

The Dslash operator is used in Lattice Quantum Chromodymamics (LQCD) applications to
implement a Wilson-Dirac sparse matrix-vector product. Typically the Dslash operation has …