Using the DPEcho SYCL GR-MHD benchmark, the authors measure energy efficiency across 12 CPU and GPU systems and report that GPUs deliver far more cell updates per joule than CPUs.
MAESTRO, CASTRO, and SEDONA -- Petascale Codes for Astrophysical Applications
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abstract
Performing high-resolution, high-fidelity, three-dimensional simulations of Type Ia supernovae (SNe Ia) requires not only algorithms that accurately represent the correct physics, but also codes that effectively harness the resources of the most powerful supercomputers. We are developing a suite of codes that provide the capability to perform end-to-end simulations of SNe Ia, from the early convective phase leading up to ignition to the explosion phase in which deflagration/detonation waves explode the star to the computation of the light curves resulting from the explosion. In this paper we discuss these codes with an emphasis on the techniques needed to scale them to petascale architectures. We also demonstrate our ability to map data from a low Mach number formulation to a compressible solver.
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SYCL for Energy-Efficient Numerical Astrophysics: the case of DPEcho
Using the DPEcho SYCL GR-MHD benchmark, the authors measure energy efficiency across 12 CPU and GPU systems and report that GPUs deliver far more cell updates per joule than CPUs.