Update APU count for LLNL El Capitan

Author: sbryngelson

README.md

@@ -187,7 +187,7 @@ They are organized below.
 
 * GPU compatible on NVIDIA ([P/V/A/H]100, GH200, etc.) and AMD (MI[1/2/3]00+) GPU and APU hardware
 * Ideal weak scaling to 100% of the largest GPU and superchip supercomputers
- 	* \>36K AMD APUs (MI300A) on [LLNL El Capitan](https://hpc.llnl.gov/hardware/compute-platforms/el-capitan)
+ 	* \>43K AMD APUs (MI300A) on [LLNL El Capitan](https://hpc.llnl.gov/hardware/compute-platforms/el-capitan)
    	* \>3K AMD APUs (MI300A) on [LLNL Tuolumne](https://hpc.llnl.gov/hardware/compute-platforms/tuolumne)
 	* \>33K AMD GPUs (MI250X) on [OLCF Frontier](https://www.olcf.ornl.gov/frontier/) 
 	* \>10K NVIDIA GPUs (V100) on [OLCF Summit](https://www.olcf.ornl.gov/summit/) 
@@ -199,7 +199,7 @@ They are organized below.
 
 * [Fypp](https://fypp.readthedocs.io/en/stable/fypp.html) metaprogramming for code readability, performance, and portability
 * Continuous Integration (CI)
-	* > 500 Regression tests with each PR.
+	* \>500 Regression tests with each PR.
  		* Performed with GNU (GCC), Intel (oneAPI), Cray (CCE), and NVIDIA (NVHPC) compilers on NVIDIA and AMD GPUs.
 		* Line-level test coverage reports via [Codecov](https://app.codecov.io/gh/MFlowCode/MFC) and `gcov`
 	* Benchmarking to avoid performance regressions and identify speed-ups