Kaixi Hou. NVIDIA. Verified email at nvidia.com - Homepage · Deep learningGPU ComputingParallel computingHigh performance computing. ArticlesCited by ...
Experience: NVIDIA · Education: Virginia Tech · Location: Santa Clara · 420 connections on LinkedIn. View Kaixi Hou's profile on LinkedIn, a professional ...
A Jax-based machine learning framework for training large scale models. Pax allows for advanced and fully configurable experimentation and parallelization.
Jun 13, 2024 · List of computer science publications by Kaixi Hou.
Introduction Recently, I am working on a project regarding sparse tensors in Tensorflow. Sparse tensors are used to represent tensors with many zeros. To sav...
Kaixi Hou
Affiliation: NVIDIA Corporation
Research interests: Deep learning, GPU Computing, Parallel computing, and more
Kaixi Hou received the MS degree in computer science from Beijing University of Chemical Technology (BUCT), China. He is working toward the PhD degree in the ...
I am currently working at NVIDIA as a Deep Learning Engineer. Here I develop and engineer deep learning frameworks (esp. TensorFlow) for improving the ...
Kaixi Hou. Virginia Tech (Virginia Polytechnic Institute and State University) | VT · Department of Computer Science.
Computations on matrices Domain specific languages Massively parallel algorithms Massively parallel systems Memory and dense storage Model development and ...
Affiliations: [College of Information and Technology, Beijing University of Chemical Technology, Beijing, China].