Pseudorapidity distribution and decorrelation of anisotropic flow within CLVisc hydrodynamics
Long-Gang Pang, Hannah Petersen, Xin-Nian Wang

TL;DR
This paper introduces CLVisc, a GPU-accelerated (3+1)D viscous hydrodynamic model for simulating high-energy heavy-ion collisions, analyzing anisotropic flow and its decorrelation along pseudorapidity with improved computational efficiency.
Contribution
Development of CLVisc, a GPU-parallelized hydrodynamic simulation tool, enabling detailed studies of anisotropic flow and decorrelation in heavy-ion collisions with significantly enhanced performance.
Findings
Shape of $v_{n}( ext{eta})$ distributions is insensitive to shear viscosity.
Decorrelation of $v_n$ is affected by initial fluid velocity and event-plane fluctuations.
GPU parallelization achieves 60x to 120x speedup over CPU implementations.
Abstract
Studies of fluctuations and correlations of soft hadrons and hard and electromagnetic probes of the dense and strongly interacting medium require event-by-event hydrodynamic simulations of high-energy heavy-ion collisions that are computing intensive. We develop a (3+1)D viscous hydrodynamic model -- CLVisc that is parallelized on Graphics Processing Unit (GPU) using Open Computing Language (OpenCL) with 60 times performance increase for space-time evolution and more than 120 times for the Cooper-Frye particlization relative to that without GPU parallelization. The pseudo-rapidity dependence of anisotropic flow are then computed in CLVisc with initial conditions given by the A Multi-Phase Transport (AMPT) model, with energy density fluctuations both in the transverse plane and along the longitudinal direction. Although the magnitude of and the ratios between…
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