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Sep 11, 2023
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Check GPU in first couple of lectures #106

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8 changes: 8 additions & 0 deletions lectures/jax_intro.md
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Expand Up @@ -19,6 +19,14 @@ kernelspec:

This lecture provides a short introduction to [Google JAX](https://github.com/google/jax).

As mentioned above, the lecture was built using a GPU:


```{code-cell} ipython3
!nvidia-smi
```



## JAX as a NumPy Replacement

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14 changes: 14 additions & 0 deletions lectures/markov_asset.md
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# An Asset Pricing Problem


```{code-cell} ipython3
!nvidia-smi
```

## Overview

In this lecture we consider some asset pricing problems and use them to
Expand All @@ -27,6 +32,15 @@ We do this using elegant techniques made available by JAX, involving the use of
If you wish to skip all motivation and move straight to the first equation we plan to solve,
you can jump to [](eq:ntecx2).


The code outputs below are generated by machine connected to the following GPU


```{code-cell} ipython3
!nvidia-smi
```


In addition to what's in Anaconda, this lecture will need the following libraries:

```{code-cell} ipython3
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