# Computation Performance, Multi-GPU and Multi-Machine Training ## Slides * Performance [keynote](../../slides/3_12/14-Performance.key) [PDF](../../slides/3_12/14-Performance.pdf) * Notebooks - Hybridization [Jupyter](../../slides/3_12/hybridize.ipynb), [PDF](../../slides/3_12/hybridize.pdf) - Asynchronous [Jupyter](../../slides/3_12/async-computation.ipynb), [PDF](../../slides/3_12/async-computation.pdf) - Auto Parallelism [Jupyter](../../slides/3_12/auto-parallelism.ipynb), [PDF](../../slides/3_12/auto-parallelism.pdf) - Multiple GPUs [Jupyter](../../slides/3_12/multiple-gpus.ipynb), [PDF](../../slides/3_12/multiple-gpus.pdf) - Multiple GPUs in Gluon [Jupyter](../../slides/3_12/multiple-gpus-gluon.ipynb), [PDF](../../slides/3_12/multiple-gpus-gluon.pdf)