2020-10-31 Tags: linux  gpu  nvidia  ubuntu  debian  redhat 
As of late 2020, Nvidia have the highest performing consumer GPUs and the best support for GPU compute development. GPU compute development includes both direct GPU programming with Nvidia’s CUDA tools and machine learning applications that use ML frameworks such as Tensorflow and PyTorch. However, Nvidia release their Linux drivers under a proprietary license, rather than open sourcing the drivers and having them included directly in the Linux kernel. There are open source drivers for Nvidia hardware from the Nouveau project, but these don’t support computing use of the GPU. Read more...
2016-08-01 Tags: published  research  kidney  complex  physiology  hpc  gpu 
University of Melbourne September 2016 https://minerva-access.unimelb.edu.au/handle/11343/132374 http://hdl.handle.net/11343/132374 Thesis (PDF, 11MB) Code (tar.gz, 140KB) Abstract Modelling of kidney physiology can contribute to understanding of kidney function by formalising existing knowledge into mathematical equations and computational procedures. Modelling in this way can suggest further research or stimulate theoretical development. The quantitative description provided by the model can then be used to make predictions and identify further areas for experimental or theoretical research, which can then be carried out, focusing on areas where the model and reality are different, creating an iterative process of improved understanding. Read more...