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We present thread-safe, highly-optimized lattice Boltzmann implementations,specifically aimed at exploiting the high memory bandwidth of GPU-basedarchitectures. At variance with standard approaches to LB coding, the proposedstrategy, based on the reconstruction of the post-collision distribution viaHermite projection, enforces data locality and avoids the onset of memorydependencies, which may arise during the propagation step, with no need toresort to more complex streaming strategies. The thread-safe lattice Boltzmannachieves peak performances, both in two and three dimensions and it allows tosensibly reduce the allocated memory ( tens of GigaBytes for order billionslattice nodes simulations) by retaining the algorithmic simplicity of standardLB computing. Our findings open attractive prospects for high-performancesimulations of complex flows on GPU-based architectures.

Thread-safe lattice Boltzmann for high-performance computing on GPUs