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We introduce a new relativistic astrophysics code, SpECTRE, that combines adiscontinuous Galerkin method with a task-based parallelism model. SpECTRE'sgoal is to achieve more accurate solutions for challenging relativisticastrophysics problems such as core-collapse supernovae and binary neutron starmergers. The robustness of the discontinuous Galerkin method allows for the useof high-resolution shock capturing methods in regions where (relativistic)shocks are found, while exploiting high-order accuracy in smooth regions. Atask-based parallelism model allows efficient use of the largest supercomputersfor problems with a heterogeneous workload over disparate spatial and temporalscales. We argue that the locality and algorithmic structure of discontinuousGalerkin methods will exhibit good scalability within a task-based parallelismframework. We demonstrate the code on a wide variety of challenging benchmarkproblems in (non)-relativistic (magneto)-hydrodynamics. We demonstrate thecode's scalability including its strong scaling on the NCSA Blue Waterssupercomputer up to the machine's full capacity of 22,380 nodes using 671,400threads.

SpECTRE: A Task-based Discontinuous Galerkin Code for Relativistic Astrophysics