QCDGPU: open-source package for Monte Carlo lattice simulations on OpenCL-compatible multi-GPU systems

The multi-GPU open-source package QCDGPU for lattice Monte Carlo simulations of pure SU(N) gluodynamics in external magnetic field at finite temperature and O(N) model is developed. The code is implemented in OpenCL, tested on AMD and NVIDIA GPUs, AMD and Intel CPUs and may run on other OpenCL-compatible devices. The package contains minimal external library dependencies and is OS platform-independent. It is optimized for heterogeneous computing due to the possibility of dividing the lattice into non-equivalent parts to hide the difference in performances of the devices used. QCDGPU has client-server part for distributed simulations. The package is designed to produce lattice gauge configurations as well as to analyze previously generated ones. QCDGPU may be executed in fault-tolerant mode. Monte Carlo procedure core is based on PRNGCL library for pseudo-random numbers generation on OpenCL-compatible devices, which contains several most popular pseudo-random number generators.Comment: Presented at the Third International Conference "High Performance Computing" (HPC-UA 2013), Kyiv, Ukraine; 9 pages, 2 figure

The spontaneous generation of magnetic fields at high temperature in SU(2)-gluodynamics on a lattice

The spontaneous generation of the chromomagnetic field at high temperature is investigated in a lattice formulation of the SU(2)-gluodynamics. The procedure of studying this phenomenon is developed. The Monte Carlo simulations of the free energy on the lattices 2 \times 8^3, 2\times 16^3 and 4 \times 8^3 at various temperatures are carried out. The creation of the field is indicated by means of the \chi^2-analysis of the data set accumulating 5-10 millions MC configurations. A comparison with the results of other approaches is done.Comment: 10 pages, 3 figures, 1 table, LATe

Pseudo-random number generators for Monte Carlo simulations on Graphics Processing Units

Basic uniform pseudo-random number generators are implemented on ATI Graphics Processing Units (GPU). The performance results of the realized generators (multiplicative linear congruential (GGL), XOR-shift (XOR128), RANECU, RANMAR, RANLUX and Mersenne Twister (MT19937)) on CPU and GPU are discussed. The obtained speed-up factor is hundreds of times in comparison with CPU. RANLUX generator is found to be the most appropriate for using on GPU in Monte Carlo simulations. The brief review of the pseudo-random number generators used in modern software packages for Monte Carlo simulations in high-energy physics is present.Comment: 31 pages, 9 figures, 3 table

QCDGPU: an Open-Source OpenCL Tool for Monte Carlo Lattice Simulations on Heterogeneous GPU Cluster

QCDGPU is an open-source tool for Monte Carlo lattice simulations of the SU(N) gluo- dynamics and O(N) models. In particular, the package allows to study vacuum thermo- 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 different OpenCL-compatible devices. It supports single- and multi-GPU modes as well as GPU clusters. Also, the QCDGPU has a client-server part for distributed simulations over VPN. The core of Monte Carlo procedure is based on the PRNGCL library, which contains implementations of the most popular pseudorandom number generators. The package supports single-, mixed- and full double-precision including pseudorandom number generation. The current version of the QCDGPU is available onli

Studying of SU(N) LGT in External Chromomagnetic Field with QCDGPU

This Conference focuses on the application of GPUs in High Energy Physics (HEP), expanding on the trend of previous workshops on the topic and pointing to establishing a recurrent series. All different applications of massively parallel computing in HEP will be addressed, from computational speed-ups in online and offline data selection and analysis to hard real-time applications in low-level triggering, to Monte Carlo simulations for lattice QCD. Both current activities and plans on foreseen experiments and projects will be discussed, together with perspectives on the evolution of the hardware and software