A unified object-oriented framework for CPU+GPU explicit hyperbolic solvers

•Development of CPU+GPU hyperbolic solvers is unified under a simple object-oriented framework.•Benchmarks show how data-structure layouts have significant impacts in code scalability.•Coherent memory-space ordering and thread-interleaving techniques are used to improve constant and sparse workload performance.•CPU parallel performance reveals supra-linear speedups on hyper-threading enabled processors.•Speedup on GPUs is around 40x relatively to sequential CPU performance for the tested setup.