Convolution kernels versus spectral multipliers for sub-Laplacians on groups of polynomial growth
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Functional Analysis"
DOI: 10.1016/j.jfa.2019.05.024
Abstract: Abstract Let L be a sub-Laplacian on a connected Lie group G of polynomial growth. It is well known that, if F : R → C is in the Schwartz class S ( R )… read more here.
Keywords: kernels versus; groups polynomial; polynomial growth; convolution kernels ... See more keywords
Automatic Generation of High-Performance Convolution Kernels on ARM CPUs for Deep Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Parallel and Distributed Systems"
DOI: 10.1109/tpds.2022.3146257
Abstract: We present FastConv, a template-based code auto-generation open source library that can automatically generate high-performance deep learning convolution kernels of arbitrary matrices/tensors shapes. FastConv is based on the Winograd algorithm, which is reportedly the highest… read more here.
Keywords: convolution kernels; cpus; deep learning; high performance ... See more keywords