-
What .to(“cuda”) does
Why Deep Learning Models Run Faster on GPUs: A Brief Introduction to CUDA ProgrammingGPU vs. CPU comparison
...A straightforward approach would be using CPU multithreading in order to run all of the computation in parallel. However, when it comes to deep learning models, we are dealing with massive vectors, with millions of elements. A common CPU can only handle around a dozen threads simultaneously. That’s when the GPUs come into action! Modern GPUs can run millions of threads simultaneously, enhancing performance of these mathematical operations on massive vectors...
4nkh Development TeamJun25 -
Open Source libraries
Jon Krohn at the New-York R confenrence (libraries for Data Science)
- igraph (R, python, Mathematica & C++)
- targets (R, successor of drake [for python snakemake])
- janitor (R, cleaner)
- dplyr (R, intuitive data analysis)
4nkh Development TeamJun23
