From 6f19d5c75ce777f60cbb85a4719e653d3d0ef0cd Mon Sep 17 00:00:00 2001 From: Stephen Payne Date: Thu, 15 Aug 2024 21:39:29 -0400 Subject: [PATCH] Grammar fix --- python/tests/hypercube.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/python/tests/hypercube.ipynb b/python/tests/hypercube.ipynb index aa8b560..cfc0d55 100644 --- a/python/tests/hypercube.ipynb +++ b/python/tests/hypercube.ipynb @@ -614,7 +614,7 @@ "\n", "However, It's more difficult to reason about `numpy`'s multithreading and the exact number of threads it uses. Internally, `numpy` uses multiple multithreaded math libraries (e.g., Intel MKL and LAPACK) that work independently and use a different number of threads. This is different from the PJRmi threading model. While it is possible to individually limit the number of used threads on the internal libraries, configuring the number of threads is idiosyncratic to the various underlying backend libraries.\n", "\n", - "Take note that the performance of these libraries are highly dependant on their configurations. For more accurate comparisons, it is very important to make sure you configure CubeMath and `numpy`'s multithreaded processing to use similar resources. For more information on the internal backend libraries that your `numpy` is using, you can run the `numpy.show_config()` command that provides all the relevant backend details, as well as supported SIMD instructions. For more information on the multithreading schemes of the individual backend libraries, consult the libraries documentations.\n", + "Take note that the performance of these libraries are highly dependant on their configurations. For more accurate comparisons, it is very important to make sure you configure CubeMath and `numpy`'s multithreaded processing to use similar resources. For more information on the internal backend libraries that your `numpy` is using, you can run the `numpy.show_config()` command that provides all the relevant backend details, as well as supported SIMD instructions. For more information on the multithreading schemes of the individual backend libraries, consult the libraries' documentation.\n", "\n", "#### Methodology\n", "\n",