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Preprint Sep 2026

How to grade the accuracy of the BLAS

Motivated by accelerating machine learning (ML), many computer vendors and chip manufacturers are building accelerators for matrix multiplication, which save time and energy by operating in the lower precisions needed for ML. This has in turn motivated many efforts to use these accelerators to provide faster matrix mul...

James Demmel, G. Henry, I. Kozachenko et al. · 1 citation
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

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