Intel's MKL-DNN Deep Neural Network Library (DNNL) that is open-source and catering to deep learning applications like Tensorflow, PyTorch, DeepLearning4J, and others is nearing its version 2.0 release. With DNNL 2.0 is now support for Data Parallel C++ as Intel's new language as part of their oneAPI initiative...
Recently I wrapped up some benchmarks looking at the performance of Ubuntu on Microsoft's Windows Subsystem for Linux comparing WSL on Windows 10 Build 18362 (May 2019 Update) and then both WSL and WSL2 performance using the Windows 10 Build 19008 Insider's Preview (what will come as Windows 10 20H1 update) for looking at where the WSL performance is heading. Additionally, looking at the bare metal performance of Ubuntu 18.04 LTS for which the WSL instances were based plus Ubuntu 19.10. As well, for the Windows-compatible tests also looking at how the Windows performance itself was outside of WSL/WSL2.