Category Archives: Julia

COVID-19 Epidemic Mitigation via Scientific Machine Learning (SciML)

By: Christopher Rackauckas

Re-posted from: http://www.stochasticlifestyle.com/covid-19-epidemic-mitigation-via-scientific-machine-learning-sciml/

Chris Rackauckas
Applied Mathematics Instructor, MIT
Senior Research Analyst, University of Maryland, Baltimore School of Pharmacy

This was a seminar talk given to the COVID modeling journal club on scientific machine learning for epidemic modeling.

Resources:

https://sciml.ai/
https://diffeqflux.sciml.ai/dev/
https://datadriven.sciml.ai/dev/
https://docs.sciml.ai/latest/
https://safeblues.org/

The post COVID-19 Epidemic Mitigation via Scientific Machine Learning (SciML) appeared first on Stochastic Lifestyle.

CUDA.jl 1.1

By: Blog on JuliaGPU

Re-posted from: https://juliagpu.org/2020-07-07-cuda_1.1/

CUDA.jl 1.1 marks the first feature release after merging several CUDA packages into one. It raises the minimal Julia version to 1.4, and comes with support for the impending 1.5 release.
CUDA.jl replacing CuArrays/CUDAnative.jl As announced a while back, CUDA.jl is now the new package for programming CUDA GPUs in Julia, replacing CuArrays.jl, CUDAnative.jl, CUDAdrv.jl and CUDAapi.jl. The merged package should be a drop-in replacement: All existing functionality has been ported, and almost all exported functions are still there.