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M. Mikaitis

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Preprint Sep 2026

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 themes---number for...

E. Agullo, H. Anzt, Daniel Bauer et al. · 0 citations
#software testing Preprint Sep 2026

Accurate Models of AMD Matrix Cores

MatLAB-based software models of the matrix multipliers are developed for each architecture and validated for bit-level reproducibility against hardware using a randomized test suite consisting of 10 million sets of random input vectors.

Faizan A. Khattak, M. Mikaitis · 0 citations

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