Update expectedPerformance.md

Author: sbryngelson

docs/documentation/expectedPerformance.md

@@ -1,76 +1,78 @@
 # Performance Results
 
-MFC has been extensively benchmarked on both CPUs and GPUs. A summary of these results follow.
+MFC has been extensively benchmarked on CPUs and GPU devices.
+A summary of these results follows.
 
 ## Expected time-steps/hour
 
-The following table outlines expected performance in terms of number of time-steps per hour 
-(rounded to the nearest hundred) for various problem sizes and hardware for a inviscid, 6-equation,
-3D simulation. CPU results utilize an entire die.
+The following table outlines expected performance in terms of the number of time steps per hour 
+(rounded to the nearest hundred) for various problem sizes (grid cells) and hardware for an inviscid, 6-equation (`model_eqns' : 3`), 3D simulation.
+CPU results utilize an entire die.
 
 | Hardware             | # Ranks | 1M Cells       | 4M Cells       | 8M Cells     | Compiler    | Computer      |
 | ---:                 | :----:  |    :----:      |  :---:         | :---:        | :----:      | :---          |
-| Nvidia V100          | 1       | 88.5k          | 18.7k          | N/A          | NVHPC 22.11 | PACE Phoenix  |
-| Nvidia V100          | 1       | 78.8k          | 18.8k          | N/A          | NVHPC 22.11 | OLCF Summit   |
-| Nvidia A100          | 1       | 114.4k         | 34.6k          | 16.5k        | NVHPC 23.5  | Wingtip       |
-| AMD MI250x           | 1       | 77.5k          | 22.3k          | 11.2k        | CCE 16.0.1  | OLCF Frontier |
+| NVIDIA V100          | 1       | 88.5k          | 18.7k          | N/A          | NVHPC 22.11 | PACE Phoenix  |
+| NVIDIA V100          | 1       | 78.8k          | 18.8k          | N/A          | NVHPC 22.11 | OLCF Summit   |
+| NVIDIA A100          | 1       | 114.4k         | 34.6k          | 16.5k        | NVHPC 23.5  | Wingtip       |
+| AMD MI250X           | 1       | 77.5k          | 22.3k          | 11.2k        | CCE 16.0.1  | OLCF Frontier |
 | Intel Xeon Gold 6226 | 12      | 2.5k           | 0.7k           | 0.4k         | GNU 10.3.0  | PACE Phoenix  |
 | Apple Silicon M2     | 6       | 2.8k           | 0.6k           | 0.2k         | GNU 13.2.0  | N/A           |
 
 If `'model_eqns' : 3` is replaced by `'model_eqns' : 2`, an inviscid 5-equation model is used.
-The following table outlines expected performance in terms of number of time-steps per hour 
-(rounded to the nearest hundred) for various problem sizes and hardware for a inviscid, 5-equation,
-3D simulation. CPU results utilize an entire die.
+The following table outlines expected performance in terms of the number of time-steps per hour (rounded to the nearest hundred) for various problem sizes and hardware for an inviscid, 5-equation,
+3D simulation.
+CPU results utilize an entire die.
 
 | Hardware             | # Ranks | 1M Cells       | 4M Cells       | 8M Cells     | Compiler    | Computer      |
 | ---:                 | :----:  |    :----:      |  :---:         | :---:        | :----:      | :---          |
-| Nvidia V100          | 1       | 113.4k         | 26.2k          | 13.0k        | NVHPC 22.11 | PACE Phoenix  |
-| Nvidia V100          | 1       | 107.7k         | 26.3k          | 13.1k        | NVHPC 22.11 | OLCF Summit   |
-| Nvidia A100          | 1       | 153.5k         | 48.0k          | 22.5k        | NVHPC 23.5  | Wingtip       |
-| AMD MI250x           | 1       | 104.2k         | 31.0k          | 14.8k        | CCE 16.0.1  | OLCF Frontier |
+| NVIDIA V100          | 1       | 113.4k         | 26.2k          | 13.0k        | NVHPC 22.11 | PACE Phoenix  |
+| NVIDIA V100          | 1       | 107.7k         | 26.3k          | 13.1k        | NVHPC 22.11 | OLCF Summit   |
+| NVIDIA A100          | 1       | 153.5k         | 48.0k          | 22.5k        | NVHPC 23.5  | Wingtip       |
+| AMD MI250X           | 1       | 104.2k         | 31.0k          | 14.8k        | CCE 16.0.1  | OLCF Frontier |
 | Intel Xeon Gold 6226 | 12      | 5.4k           | 1.6k           | 0.8k         | GNU 10.3.0  | PACE Phoenix  |
 | Apple Silicon M2     | 6       | 3.7k           | 11.0k          | 0.3k         | GNU 13.2.0  | N/A           |
 
 ## Weak scaling
 
-Strong scaling results are obtained by increasing the problem size with the number of processes
-so that work per process remains constant.
+Strong scaling results are obtained by increasing the problem size with the number of processes so that work per process remains constant.
 
 ### AMD MI250X GPU
-MFC weask scales to 65,536 AMD MI250X GPUs on OLCF Frontier with 96% efficiency. This corresponds to 87% of the entire machine.
+
+MFC weask scales to (at least) 65,536 AMD MI250X GPUs on OLCF Frontier with 96% efficiency.
+This corresponds to 87% of the entire machine.
 
 <img src="../res/weakScaling/frontier.svg" style="height: 50%; width:50%; border-radius: 10pt"/>
 
-### Nvidia V100 GPU
-MFC weak scales to 13,824 V100 Nvidia V100 GPUs on OLCF Summit with 97% efficiency. This corresponds to 50% of the entire machine.
+### NVIDIA V100 GPU
+
+MFC weak scales to (at least) 13,824 V100 NVIDIA V100 GPUs on OLCF Summit with 97% efficiency.
+This corresponds to 50% of the entire machine.
 
 <img src="../res/weakScaling/summit.svg" style="height: 50%; width:50%; border-radius: 10pt"/>
 
-### IMB Power9 CPU
+### IBM Power9 CPU
 MFC Weak scales to 13,824 Power9 CPU cores on OLCF Summit to within 1% of ideal scaling.
 
 <img src="../res/weakScaling/cpuScaling.svg" style="height: 50%; width:50%; border-radius: 10pt"/>
 
 ## Strong scaling
 
-Strong scaling results are obtained by keeping the problem size constant and increasing
-the number of process so that work per process decreases.
+Strong scaling results are obtained by keeping the problem size constant and increasing the number of processes so that work per process decreases.
 
-### Nvidia V100 GPU
+### NVIDIA V100 GPU
 
-For these tests, the base case utilizes 8 GPUs with one MPI process per GPU. The performance
-is analyzed at two different problem sizes of 16 and 64M grid points, with the base case using
-2 and 8M grid points per process.
+For these tests, the base case utilizes 8 GPUs with one MPI process per GPU.
+The performance is analyzed at two different problem sizes of 16M and 64M grid points, with the base case using 2M and 8M grid points per process.
 
 #### 16M Grid Points
+
 <img src="../res/strongScaling/strongScaling16.svg" style="width: 50%; border-radius: 10pt"/>
 
 #### 64M Grid Points
 <img src="../res/strongScaling/strongScaling64.svg" style="width: 50%; border-radius: 10pt"/>
 
-### IBM Power 9 CPU
+### IBM Power9 CPU
 
-CPU strong scaling tests are done with problem sizes of 16, 32, and 64M grid points, with the
-base case using 2, 4, and 8M cells per process.
+CPU strong scaling tests are done with problem sizes of 16, 32, and 64M grid points, with the base case using 2, 4, and 8M cells per process.
 
-<img src="../res/strongScaling/cpuStrongScaling.svg" style="width: 50%; border-radius: 10pt"/>
+<img src="../res/strongScaling/cpuStrongScaling.svg" style="width: 50%; border-radius: 10pt"/>