A Netti, Y Peng, P Omland, M Paulitsch, J Parra… - Journal of Parallel and …, 2023 - Elsevier
In their quest for exascale and beyond, High-Performance Computing (HPC) systems continue becoming ever larger and more complex. Application developers, on the other …
Supervised super-resolution deep convolutional neural networks (CNNs) have gained significant attention for their potential in reconstructing velocity and scalar fields in turbulent …
J Wan, W Wang, Z Zhang - Geophysical Journal International, 2024 - academic.oup.com
Large-scale and high-resolution seismic modelling are very significant to simulating seismic waves, evaluating earthquake hazards and advancing exploration seismology. However …
MLO Salvana, S Abdulah, M Kim, D Helmy… - arXiv preprint arXiv …, 2024 - arxiv.org
Computational statistics has traditionally utilized double-precision (64-bit) data structures and full-precision operations, resulting in higher-than-necessary accuracy for certain …