Add to ORKGWe present our implementation of the RHMC algorithm for staggered fermions on Graphics Pro-cessing Units using the NVIDIA CUDA programming language. While previous studies exclu-sively deal with the Dirac matrix inversion problem, our code performs the complete MD trajec-tory on the GPU. After pointing out the main bottlenecks and how to circumvent them, we discuss the performance of our code. The XXVIII International Symposium on Lattice Field Theor
We present the first GPU-based conjugate gradient (CG) solver for lattice QCD with domain-wall fermi...
We discuss the CUDA approach to the simulation of pure gauge Lattice SU(2). CUDA is a hardware and s...
Over the past five years, graphics processing units (GPUs) have had a transformational effect on num...
We present our implementation of the RHMC algorithm for staggered fermions on Graphics Pro-cessing U...
We report on our implementation of the RHMC algorithm for the simulation of lattice QCD with two sta...
Lattice QCD is widely considered the correct theory of the strong force and is able to make quantita...
We describe an implementation of the Rational Hybrid Monte Carlo (RHMC) algorithm for dynamical comp...
In this work we explore the performance of CUDA in quenched lattice SU(2) simulations. CUDA, NVIDIA ...
We discuss an implementation of molecular dynamics (MD) simulations on a graphic processing unit (GP...
Abstract: Lattice spin models are useful for studying critical phenomena and allow the extraction of...
The starting point of any lattice QCD computation is the generation of a Markov chain of gauge field...
We discuss how the steepest descent method with Fourier acceleration for Laudau gauge fixing in latt...
Improved staggered fermion formulations are a popular choice for lattice QCD calculations. Historica...
AbstractWe consider Monte Carlo simulations of classical spin models of statistical mechanics using ...
Abstract EFFICIENT RANDOM NUMBER GENERATION FOR FERMI CLASS GPUs by NIRODHA ABEYWARDANA JAN 2012 Adv...
We present the first GPU-based conjugate gradient (CG) solver for lattice QCD with domain-wall fermi...
We discuss the CUDA approach to the simulation of pure gauge Lattice SU(2). CUDA is a hardware and s...
Over the past five years, graphics processing units (GPUs) have had a transformational effect on num...
We present our implementation of the RHMC algorithm for staggered fermions on Graphics Pro-cessing U...
We report on our implementation of the RHMC algorithm for the simulation of lattice QCD with two sta...
Lattice QCD is widely considered the correct theory of the strong force and is able to make quantita...
We describe an implementation of the Rational Hybrid Monte Carlo (RHMC) algorithm for dynamical comp...
In this work we explore the performance of CUDA in quenched lattice SU(2) simulations. CUDA, NVIDIA ...
We discuss an implementation of molecular dynamics (MD) simulations on a graphic processing unit (GP...
Abstract: Lattice spin models are useful for studying critical phenomena and allow the extraction of...
The starting point of any lattice QCD computation is the generation of a Markov chain of gauge field...
We discuss how the steepest descent method with Fourier acceleration for Laudau gauge fixing in latt...
Improved staggered fermion formulations are a popular choice for lattice QCD calculations. Historica...
AbstractWe consider Monte Carlo simulations of classical spin models of statistical mechanics using ...
Abstract EFFICIENT RANDOM NUMBER GENERATION FOR FERMI CLASS GPUs by NIRODHA ABEYWARDANA JAN 2012 Adv...
We present the first GPU-based conjugate gradient (CG) solver for lattice QCD with domain-wall fermi...
We discuss the CUDA approach to the simulation of pure gauge Lattice SU(2). CUDA is a hardware and s...
Over the past five years, graphics processing units (GPUs) have had a transformational effect on num...