The study develops MHIT36, a GPU-tailored framework for simulating multiphase turbulence using navier–stokes equations, indicating high efficiency with 1024 GPUs.
We present MHIT36, a GPU-tailored solver for interface-resolved simulations of multiphase turbulence. The framework couples direct numerical simulation (DNS) of the Navier–Stokes equations, which describe the flow field, with a phase-field method to capture interfacial phenomena. Simulations are performed in a cubic domain with periodic boundary conditions applied in all three spatial directions. The governing equations are discretized using a second-order finite difference scheme. The Navier–Stokes equations are integrated with an explicit fractional-step method, and the resulting pressure Poisson equation is solved using a fast Fourier transform (FFT)-based approach. The accurate conservative diffuse interface (ACDI) formulation is used to describe the transport of the phase-field variable. From a computational standpoint, MHIT36 employs a two-dimensional domain decomposition to distribute the workload across MPI tasks. The cuDecomp library is used to perform pencil transpositions and halo exchanges, while the cuFFT library and OpenACC directives are leveraged to offload the remaining computational kernels to the GPU. This parallelization strategy enables MHIT36 to achieve an excellent scaling efficiency on 1024 GPUs, while maintaining a structure that is easy to extend and modify. MHIT36 is released open source under the MIT license.
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