48 citations · 48 across the 13 of their papers we have counts for
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cs.AR2026
Accurate Models of AMD Matrix Cores
Faizan A Khattak, Mantas Mikaitis, Carlo J. Graziani
Matrix multipliers available on recent GPUs do not conform with the IEEE 754 floating point standard. Features of matrix multipliers differ across vendors and architectures of the…
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…
cs.AR2020
Stochastic Rounding: Algorithms and Hardware Accelerator
Mantas Mikaitis
Algorithms and a hardware accelerator for performing stochastic rounding (SR) are presented. The main goal is to augment the ARM M4F based multi-core processor SpiNNaker2 with a mo…