Stream CTS-1 results (#53)

Stream Results on cts1 and plots.

doc/sphinx/10_Microbenchmarks/M1_STREAM/STREAM.rst

@@ -76,4 +76,21 @@ Dependent Variable(s)
 2. A minimum number of cores and threads that achieves MAX_BW. MIN_CT 
 
 Example Results
-===============
+===============
+
+CTS-1 Snow
+-----------
+
+.. csv-table:: STREAM microbenchmark bandwidth measurement
+   :file: stream-cts1_ats5intel-oneapi-openmpi.csv
+   :align: center
+   :widths: 10, 10
+   :header-rows: 1
+
+.. figure:: cpu_cts1.png
+   :align: center
+   :scale: 50%
+   :alt: STREAM microbenchmark bandwidth measurement
+
+ATS-3 Rocinante HBM
+-------------------

doc/sphinx/10_Microbenchmarks/M1_STREAM/cpu.gp

@@ -1,13 +1,13 @@
 #!/usr/bin/gnuplot
+#STREAM
 set terminal pngcairo enhanced size 1024, 768 dashed font 'Helvetica,18'
-set output "cpu_66M.png"
+set output "cpu_cts1.png"
 
-set title "Branson Strong Scaling Performance on CTS-1, 66M particles" font "serif,22"
+set title "STREAM Single node bandwidth" font "serif,22"
 set xlabel "No. Processing Elements"
-set ylabel "Figure of Merit (particles/sec)"
+set ylabel "Figure of Merit Triad (MB/s)"
 
 set xrange [1:64]
-set key left top
 
 set logscale x 2
 set logscale y 2
@@ -21,15 +21,9 @@ set key autotitle columnheader
 set style line 1 linetype 6 dashtype 1 linecolor rgb "#FF0000" linewidth 2 pointtype 6 pointsize 3
 set style line 2 linetype 1 dashtype 2 linecolor rgb "#FF0000" linewidth 2
 
-plot "cpu_66M.csv" using 1:2 with linespoints linestyle 1, "" using 1:3 with line linestyle 2
-
-set output "cpu_133M.png"
-set title "Branson Strong Scaling Performance on CTS-1, 133M particles" font "serif,22"
-plot "cpu_133M.csv" using 1:2 with linespoints linestyle 1, "" using 1:3 with line linestyle 2
-
-
-set output "cpu_200M.png"
-set title "Branson Strong Scaling Performance on CTS-1, 200M particles" font "serif,22"
-plot "cpu_200M.csv" using 1:2 with linespoints linestyle 1, "" using 1:3 with line linestyle 2
+plot "stream-cts1_ats5intel-oneapi-openmpi.csv" using 1:2 with linespoints linestyle 1
 
+# set output "cpu_133M.png"
+# set title "Branson Strong Scaling Performance on CTS-1, 133M particles" font "serif,22"
+# plot "cpu_133M.csv" using 1:2 with linespoints linestyle 1, "" using 1:3 with line linestyle 2
 

doc/sphinx/10_Microbenchmarks/M1_STREAM/stream-cts1_ats5intel-oneapi-openmpi.csv

@@ -0,0 +1,8 @@
+No. Cores,Bandwidth
+1,10919.0
+2,10809.5
+4,10481.3
+8,8326.0
+16,7954.7
+32,4983.1
+36,3023.6

utils/pavparse

@@ -35,7 +35,8 @@ def flatten_dict(result, prefix=''):
 
     return aa, bb
 
-def js_list_to_df(results_list):
+
+def js_list_to_df(results_list, flatkeys):
     result_collection=[]
 
     for i, result in enumerate(results_list):
@@ -45,13 +46,11 @@ def js_list_to_df(results_list):
         while b_dict:
             bd1={}
             if i==0: print(f"PREFIX: {prefix}")
-            for bk, bv in b_dict.items():
-                # if i==0: 
-                    # print(f"KEY: {bk}")
-                    # print(f"VAL: {bv}")
-
+
+            for bk, bv in b_dict.items():                    
                 prefixbk = prefix
-                if not bk == 'var': 
+                if not bk == 'var':
+
                     prefixbk=prefix+bk+'.'
                 a_dictnew, b_dictnew = flatten_dict(bv, prefixbk)
                 a_dict.update(a_dictnew)
@@ -60,6 +59,14 @@ def js_list_to_df(results_list):
             b_dict = bd1.copy()
             prefix=prefixbk
 
+        print(flatkeys)
+        if flatkeys:
+            oldkeys = [k for k in a_dict.keys() if flatkeys in k]
+            print(oldkeys)
+            newkeys = [k.split('.')[-1] for k in oldkeys]
+            for (o, n) in zip(oldkeys, newkeys):
+                a_dict[n] = a_dict[o]
+
         result_collection.append(pd.Series(a_dict))
 
     return pd.DataFrame(result_collection)
@@ -112,6 +119,9 @@ def args():
     parser.add_argument('-it', '--index_title',  type=str, default=None,
          help="Change the title of the index (output x column).")
 
+    parser.add_argument('-d', '--flatten', type=str, default=None,
+         help="Flatten a key to get at the nested values below uniformally.")
+
     return parser
 
 if __name__ == '__main__':
@@ -129,7 +139,7 @@ if __name__ == '__main__':
     rsltchoose = [k for k in keepers if '=' in k]
     rsltkeep.append(index)
 
-    rslt_df   = js_list_to_df(jsin)
+    rslt_df   = js_list_to_df(jsin, arguments.flatten)
     sys_name  = rslt_df.sys_name.iloc[0]
     test_list = rslt_df.name.iloc[0].split('.')[:2]
 
@@ -151,7 +161,8 @@ if __name__ == '__main__':
     for rchoose in rsltchoose:
         key, val = rchoose.split('=') 
         keptvals.append(val)
-        rslt_df=rslt_df.loc[rslt_df[key] == val]
+
+        rslt_df = rslt_df.loc[rslt_df[key] == val]
 
     test_list.extend(keptvals)
     test_title = "-".join(test_list)
@@ -172,7 +183,7 @@ if __name__ == '__main__':
             if index_title:
                 grouped_df.index.name = index_title
             if value_title:
-                grouped_df.columns=value_title
+                grouped_df.columns = value_title
             grouped_dfs[gtitle] = grouped_df.squeeze().map(fmt.format)
             df_mean[gtitle] = grouped_df.mean().values[0]