Updates to README, addition of plotting script and sample data

README.md

@@ -89,4 +89,9 @@ or
 
 When you run each code, it will iterate through the set of problem sizes predefined inside benchmark.cpp
 
+# Building and running the codes on Cori@NERSC
+
+Please refer to lecture slides for additional information about accessing Cori, building your code there, and running your code there.
+
+
 # EOF

plot_3vars.py

@@ -0,0 +1,62 @@
+"""
+
+E. Wes Bethel, Copyright (C) 2022
+
+October 2022
+
+Description: This code loads a .csv file and creates a 3-variable plot
+
+Inputs: the named file "sample_data_3vars.csv"
+
+Outputs: displays a chart with matplotlib
+
+Dependencies: matplotlib, pandas modules
+
+Assumptions: developed and tested using Python version 3.8.8 on macOS 11.6
+
+"""
+
+import pandas as pd
+import matplotlib.pyplot as plt
+
+
+fname = "sample_data_3vars.csv"
+df = pd.read_csv(fname, comment="#")
+print(df)
+
+var_names = list(df.columns)
+
+print("var names =", var_names)
+
+# split the df into individual vars
+# assumption: column order - 0=problem size, 1=blas time, 2=basic time
+
+problem_sizes = df[var_names[0]].values.tolist()
+code1_time = df[var_names[1]].values.tolist()
+code2_time = df[var_names[2]].values.tolist()
+code3_time = df[var_names[3]].values.tolist()
+
+plt.title("Comparison of 3 Codes")
+
+xlocs = [i for i in range(len(problem_sizes))]
+
+plt.xticks(xlocs, problem_sizes)
+
+plt.plot(code1_time, "r-o")
+plt.plot(code2_time, "b-x")
+plt.plot(code3_time, "g-^")
+
+#plt.xscale("log")
+#plt.yscale("log")
+
+plt.xlabel("Problem Sizes")
+plt.ylabel("runtime")
+
+varNames = [var_names[1], var_names[2], var_names[3]]
+plt.legend(varNames, loc="best")
+
+plt.grid(axis='both')
+
+plt.show()
+
+# EOF

sample_data_3vars.csv

@@ -0,0 +1,8 @@
+# author: E. Wes Bethel, Oct 2022
+# sample data for use with the plot_3vars.py file
+Problem Size,code 1,code 2,code 3
+64,0.00044,0.00128,0.00759
+128,0.00061,0.00949,0.05974
+256,0.00236,0.0875,0.20877
+512,0.01201,0.1418,0.89089
+1024,0.07743,0.81365,3.04055