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NunoSempere 2024-01-13 13:01:58 +01:00
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@ -334,6 +334,8 @@ But for more complicated use cases, my recommendation would be to not use parall
- If you run the `sampler_parallel` function on two different inputs, their outputs will be correlated. E.g., if you run two lognormals, indices which have higher samples in one will tend to have higher samples in the other one. Why? - If you run the `sampler_parallel` function on two different inputs, their outputs will be correlated. E.g., if you run two lognormals, indices which have higher samples in one will tend to have higher samples in the other one. Why?
- For a small amount of samples, if you run the `sampler_parallel` function, you will get better spread out random numbers than if you run things serially. Why? - For a small amount of samples, if you run the `sampler_parallel` function, you will get better spread out random numbers than if you run things serially. Why?
That said, I found adding parallelism to be an interesting an engaging task. Most recently, I even optimized the code to ensure that two threads weren't accessing the same cache line at the same time, and it was very satisfying to see a 30% improvement as a result.
#### Extra: Algebraic manipulations #### Extra: Algebraic manipulations
`squiggle_more.c` has some functions to do some simple algebra manipulations: sums of normals and products of lognormals. You can see some example usage [here](examples/more/07_algebra/example.c) and [here](examples/more/08_algebra_and_conversion/example.c). `squiggle_more.c` has some functions to do some simple algebra manipulations: sums of normals and products of lognormals. You can see some example usage [here](examples/more/07_algebra/example.c) and [here](examples/more/08_algebra_and_conversion/example.c).