Author

A. Calotoiu

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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

Preprint Sep 2026

Gauss What You Need: Compact Gaussian Splatting Across Scene Scales

3D Gaussian Splatting reconstructs a scene as a collection of Gaussian primitives from a set of posed photographs called the capture. The number of primitives used to represent the scene affects reconstruction quality, storage, and rendering cost. How to select this number automatically across capture scales remains un...

Afif Boudaoud, Jia-Yi Liu, A. Calotoiu et al. · 0 citations

#machine learning Preprint Sep 2026

Hardware-Aware Features for CUTLASS Kernel Selection

A hardware-aware representation for CUTLASS kernel selection is introduced that augments candidate configurations with statically computable estimates of induced hardware behavior, showing that explicitly representing candidate-induced hardware behavior provides a useful inductive bias for learned kernel selection.

Shriram Chandran, Dominic Rinderer, Yakup Budanaz et al. · 0 citations