GPU in Lattice QCD
- Massimo D'Elia (PI)
Dr Enrico Calore (FE)
9/10/14, 2:00 PM
An increasing number of massively-parallel machines are based on heterogeneous node architectures combining traditional powerful multicore CPUs with energy-efficient accelerators. Programming heterogeneous systems can be cumbersome and designing efficient codes can result a hard task. The lack of standard programming frameworks for accelerator based machines makes it more complex; in fact in...
Mr Patrick Steinbrecher (Fakultät für Physik, Universität Bielefeld)
9/10/14, 2:30 PM
The runtime of a Lattice QCD simulation is dominated by a small kernel, which calculates the product of a vector by a sparse matrix known as the “Dslash” operator. Therefore, this kernel is frequently optimized for various HPC architectures. In this contribution we want evaluate the performance of the Intel Xeon Phi to current Kepler-based NVIDIA Tesla GPUs running a conjugate gradient...
3. QCDGPU: an open-source OpenCL tool for Monte Carlo lattice simulations on heterogeneous GPU cluster
Natalia Kolomeyets (Dnipropetrovsk National University), Dr Vadim Demchik (Dnipropetrovsk National University)
9/10/14, 3:00 PM
A new open-source tool QCDGPU for Monte Carlo lattice simulations of the SU(N) gluodynamics and O(N) models is developed. In particular, the package allows to study vacuum dynamics in external chromomagnetic fields, spontaneous vacuum magnetization at high temperature in the SU(N) gluodynamics and other new phenomena. The QCDGPU code is implemented in the OpenCL environment and tested on...
Mr Christopher Pinke (Goethe University Frankfurt)
9/10/14, 3:30 PM
Lattice QCD (LQCD) can benefit greatly from Graphic Processing Units (GPUs), which are well suited for memory bandwidth limited applications. Accordingly, their usage in LQCD simulations is still expanding, mainly relying on CUDA, applicable to NVIDIA hardware only. A hardware vendor independent approach is given by the Open Computing Language (OpenCL). We present CL2QCD, a LQCD software...
Mr Hannes Vogt (Universitaet Tuebingen)
9/10/14, 4:00 PM
We adopt CUDA-capable Graphic Processing Units (GPUs) for Landau, Coulomb and maximally Abelian gauge fixing in 3+1 dimensional SU(3) and SU(2) lattice gauge field theories. A combination of simulated annealing and overrelaxation is used to aim for the global maximum of the gauge functional. We use a fine grained degree of parallelism to achieve the maximum performance: instead of the common 1...