Abstract With the recent realization of exascale performance by Oak Ridge National Laboratory’s Frontier supercomputer, reducing communication in kernels like QR factorization has become even more imperative. Low-synchronization Gram-Schmidt methods, first introduced Świrydowicz et al. ( Numer. Lin. Alg. Appl. 28(2):e2343, 2020), have been shown to improve scalability Arnoldi method high-perfor...

Depth estimation is a crucial step for 3D reconstruction with panorama images in recent years. Panorama maintain the complete spatial information but introduce distortion equirectangular projection. In this paper, we propose an ACDNet based on adaptively combined dilated convolution to predict dense depth map monocular panoramic image. Specifically, combine kernels different dilations extend re...