A domain-decomposition scheme sizes subdomains to GPU shared memory to remove synchronization from sparse triangular solves, reporting 10.7x and 3.2x speedups for triangular solves and ILU0-BiCGSTAB on the AMD MI210.
The relativistic Euler equations: Remarkable null structures and regularity properties
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abstract
We derive a new formulation of the relativistic Euler equations that exhibits remarkable properties. This new formulation consists of a coupled system of geometric wave, transport, and elliptic equations, sourced by nonlinearities that are null forms relative to the acoustical metric. Our new formulation is well-suited for various applications, in particular for the study of stable shock formation, as it is surveyed in the paper. Moreover, using the new formulation presented here, we establish a local well-posedness result showing that the vorticity and the entropy of the fluid are one degree more differentiable compared to the regularity guaranteed by standard estimates (assuming that the initial data enjoy the extra differentiability). This gain in regularity is essential for the study of shock formation without symmetry assumptions. Our results hold for an arbitrary equation of state, not necessarily of barotropic type.
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Mapping Sparse Triangular Solves to GPUs via Fine-grained Domain Decomposition
A domain-decomposition scheme sizes subdomains to GPU shared memory to remove synchronization from sparse triangular solves, reporting 10.7x and 3.2x speedups for triangular solves and ILU0-BiCGSTAB on the AMD MI210.