48 citations · 48 across the 13 of their papers we have counts for
4 papers · 1 filter
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…
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…
Accuracy of Mathematical Functions in Julia
Mantas Mikaitis, Mosè Giordano, Tejaswa Rizyal
Basic computer arithmetic operations, such as , , or are correctly rounded, whilst mathematical functions such as , , or in general are not, m…
Analysis of Floating-Point Matrix Multiplication Computed via Integer Arithmetic
Ahmad Abdelfattah, Jack Dongarra, Massimiliano Fasi +2
Ootomo, Ozaki, and Yokota [Int. J. High Perform. Comput. Appl., 38 (2024), p. 297-313] have proposed a strategy to recast a floating-point matrix multiplication in terms of integer…