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cs.MS2025
Accurate Models of NVIDIA Tensor Cores
Faizan A. Khattak, Mantas Mikaitis
Matrix multiplication is a fundamental operation in both training of neural networks and inference. To accelerate matrix multiplication, Graphical Processing Units (GPUs) provide i…
cs.AR2025
Generalized Methodology for Determining Numerical Features of Hardware Floating-Point Matrix Multipliers: Part I
Faizan A Khattak, Mantas Mikaitis
Numerical features of matrix multiplier hardware units in NVIDIA and AMD data centre GPUs have recently been studied. Features such as rounding, normalisation, and internal precisi…
eess.SP2025
Least-Squares Khatri-Rao Factorization of a Polynomial Matrix
Faizan A. Khattak, Fazal-E-Asim, Stephan Weiss +1
The Khatri-Rao product is extensively used in array processing, tensor decomposition, and multi-way data analysis. Many applications require a least-squares (LS) Khatri-Rao factori…