Dual-input ultralight multi-head self-attention learning network for hyperspectral image classification
X Li, M Xu, S Liu, H Sheng, J Wan - International Journal of …, 2024 - Taylor & Francis
In the hyperspectral image (HSI) classification tasks, various deep learning models have
achieved remarkable success. However, most deep learning models are compute-intensive …
achieved remarkable success. However, most deep learning models are compute-intensive …
[PDF][PDF] Characterizing the Performance, Power Efficiency, and Programmability of AMD Matrix Cores
Matrix multiplication is a core computational part of deep learning and scientific workloads.
The emergence of Matrix Cores in high-end AMD GPUs, a building block of Exascale …
The emergence of Matrix Cores in high-end AMD GPUs, a building block of Exascale …