diff --git a/assignments/01/report.md b/assignments/01/report.md
index de964c2..3c9e11a 100644
--- a/assignments/01/report.md
+++ b/assignments/01/report.md
@@ -10,14 +10,20 @@ author: |
 
 1.  _A short description of how you went about parallelizing the classification algorithm. You should include how you decomposed the problem and why, i.e., what were the tasks being parallelized._
 
-    The parallelization I used was incredibly simple, just parallelizing outer iterations. I used this same trick for both the OpenMP and the pthreads implementations.
+    The parallelization I used was incredibly simple, primarily just parallelizing outer iterations. For the OpenMP version I also went ahead and parallelized by the rows, but only if there were more cores than the number of dimensions, as a simple heuristic.
 
     The reason I didn't go further was that further breaking down of the for loops incurred more overhead from managing the parallelization than was actually gained. I have run this several times and the gains were either neglient, or it actually ran slower than the serial version.
 
-    This also had to do with the fact that I had already inlined most of the calculations to require as few loops as possible, moved all allocations to the top level, and arranged my data buffer in column-major order instead since the iteration pattern was by dimension rather than by row.
+    Some other optimizations I did are:
+
+    - inlined most of the calculations to require as few loops as possible
+    - moved all allocations to the top level
+    - arranged my data buffer in column-major order instead since the iteration pattern was by dimension rather than by row
 
 2.  _Timing results for 1, 2, 4, 8, and 16 threads for the classification. You should include results with outer iterations set to 10._
 
+    Run on my local machine:
+
     ```
     ./lc_pthreads ./dataset/small_data.csv ./dataset/small_data.csv 10 1
     Program time (compute): 0.0069s
@@ -61,6 +67,51 @@ author: |
     Program time (compute): 3.5328s
     ```
 
+    Run on `csel-plate` (slower clock speed but significantly more cores):
+
+    ```
+    ./lc_pthreads ./dataset/small_data.csv ./dataset/small_data.csv 10 1
+    Program time (compute): 0.0519s
+    ./lc_pthreads ./dataset/small_data.csv ./dataset/small_data.csv 10 2
+    Program time (compute): 0.0288s
+    ./lc_pthreads ./dataset/small_data.csv ./dataset/small_data.csv 10 4
+    Program time (compute): 0.0248s
+    ./lc_pthreads ./dataset/small_data.csv ./dataset/small_data.csv 10 8
+    Program time (compute): 0.0335s
+    ./lc_pthreads ./dataset/small_data.csv ./dataset/small_data.csv 10 16
+    Program time (compute): 0.0299s
+    ./lc_pthreads ./dataset/MNIST_data.csv ./dataset/MNIST_label.csv 10 1
+    Program time (compute): 739.2866s
+    ./lc_pthreads ./dataset/MNIST_data.csv ./dataset/MNIST_label.csv 10 2
+    Program time (compute): 375.7334s
+    ./lc_pthreads ./dataset/MNIST_data.csv ./dataset/MNIST_label.csv 10 4
+    Program time (compute): 187.6661s
+    ./lc_pthreads ./dataset/MNIST_data.csv ./dataset/MNIST_label.csv 10 8
+    Program time (compute): 93.6721s
+    ./lc_pthreads ./dataset/MNIST_data.csv ./dataset/MNIST_label.csv 10 16
+    Program time (compute): 46.9217s
+    ./lc_openmp ./dataset/small_data.csv ./dataset/small_data.csv 10 1
+    Program time (compute): 0.0298s
+    ./lc_openmp ./dataset/small_data.csv ./dataset/small_data.csv 10 2
+    Program time (compute): 0.0163s
+    ./lc_openmp ./dataset/small_data.csv ./dataset/small_data.csv 10 4
+    Program time (compute): 0.0122s
+    ./lc_openmp ./dataset/small_data.csv ./dataset/small_data.csv 10 8
+    Program time (compute): 0.0108s
+    ./lc_openmp ./dataset/small_data.csv ./dataset/small_data.csv 10 16
+    Program time (compute): 0.0099s
+    ./lc_openmp ./dataset/MNIST_data.csv ./dataset/MNIST_label.csv 10 1
+    Program time (compute): 730.4170s
+    ./lc_openmp ./dataset/MNIST_data.csv ./dataset/MNIST_label.csv 10 2
+    Program time (compute): 375.2444s
+    ./lc_openmp ./dataset/MNIST_data.csv ./dataset/MNIST_label.csv 10 4
+    Program time (compute): 187.1316s
+    ./lc_openmp ./dataset/MNIST_data.csv ./dataset/MNIST_label.csv 10 8
+    Program time (compute): 93.7702s
+    ./lc_openmp ./dataset/MNIST_data.csv ./dataset/MNIST_label.csv 10 16
+    Program time (compute): 46.7320s
+    ```
+
     This data was generated using the `run_benchmark.sh > out.txt` script.
 
 ## NOTES