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Mixed-Precision Computing for Scientific Discovery: Formats, Co-Design, and Responsible Approximation
Reduced and mixed precision have moved from a niche optimization to a central design axis in scientific computing and engineering, driven by energy constraints, heterogeneous accelerators, and the convergence of simulation and machine learning. This paper organizes the landscape around seven coupled
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