The Effect of Data Structuring on the Parallel Efficiency of the HydroBox3D Relativistic Code
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Publisher
Springer Nature Switzerland
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https://link.springer.com/content/pdf/10.1007/978-3-031-49432-1_21
Reference62 articles.
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2. Kulikov, I., Vorobyov, E.: Using the PPML approach for constructing a low-dissipation, operator-splitting scheme for numerical simulations of hydrodynamic flows. J. Comput. Phys. 317, 318–346 (2016). https://doi.org/10.1016/j.jcp.2016.04.057
3. Kulikov, I., et al.: A new parallel code based on a simple piecewise parabolic method for numerical modeling of colliding flows in relativistic hydrodynamics. Mathematics 10(11), 1865 (2022)
4. Kulikov, I.M., Chernykh, I.G., Glinskiy, B.M., Protasov, V.A.: An efficient optimization of HLL method for the second generation of Intel Xeon Phi processor. Lobachevskii J. Math. 39, 543–550 (2018). https://doi.org/10.1134/S1995080218040091
5. Kulikov, I., Chernykh, I., Tutukov, A.: A new hydrodynamic code with explicit vectorization instructions optimizations that is dedicated to the numerical simulation of astrophysical gas flow. I. numerical method, tests, and model problems. Astrophys. J. Suppl. Ser. 243, 1–15 (2019). https://doi.org/10.3847/1538-4365/ab2237
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