We present 1D MESA2HYDRO 3D , an open source, Python-based software tool that provides an accessible means of generating physically motivated initial conditions (ICs) for hydrodynamical simulations from 1-D stellar structure models.We test 1D MESA2HYDRO 3D on five stellar models generated with the MESA stellar evolution code and verify its capacity as an IC generator with the Phantom smoothed-particle hydrodynamics code (Paxton et al. 2018;Price et al. 2018). Consistency between the input density profiles, the 1D MESA2HYDRO 3D -rendered particle distributions, and the state of the distributions after evolution over 10 dynamical timescales is found for model stars ranging in structure and density from a radially extended supergiant to a white dwarf.
Abstraction in hardware description languages stalled at the register-transfer level decades ago, yet few alternatives have had much success, in part because they provide only modest gains in expressivity. We propose to make a much larger jump: a compiler that synthesizes hardware from behavioral functional specifications. Our compiler translates general Haskell programs into a restricted intermediate representation before applying a series of semantics-preserving transformations, concluding with a simple syntax-directed translation to SystemVerilog. Here, we present the overall framework for this compiler, focusing on the intermediate representations involved and our method for translating general recursive functions into equivalent hardware. We conclude with experimental results that depict the performance and resource usage of the circuitry generated with our compiler.
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