Computational and data-driven astrophysics plays a crucial role in modern astrophysics research, enabling the exploration of complex astrophysical systems and phenomena beyond the reach of traditional observational and theoretical approaches. The integration of advanced data analysis methods, simulations, and computational models allows astrophysicists to study the dynamical evolution of these systems with unprecedented accuracy and detail. The processing and analysis of modern astronomical datasets, which can reach petabyte scales, are central to these efforts, necessitating high-performance computing (HPC) capabilities to manage and interpret the vast volumes of information.

The Steward Observatory is at the forefront of a broad spectrum of computational astrophysics projects. Our research encompasses cosmology and structure formation, galaxy evolution, stellar evolution, planet formation, compact objects such as black holes and neutron stars, numerical general relativity, astrophysical turbulence, and plasma astrophysics. Computational simulations are essential for unraveling the complexities of these astrophysical processes and expanding our understanding of the Universe. The interplay between "big data astronomy" and theoretical research at Steward stimulates innovation and fosters the development of new observations and theories.

Steward has been a leader in developing innovative computational techniques. It was the first to develop a GPU-accelerated cosmological hydrodynamic code, significantly improving the efficiency of cosmological simulations. Additionally, Steward introduced the first GPU-accelerated general relativistic ray tracing code, enabling accurate predictions about the appearance of black holes before they were observed. Researchers at Steward are actively developing numerical general relativity codes and engaging in multi-wavelength and multi-messenger astronomy, continuously advancing the boundaries of astrophysical research.