Some updates

analysis/data_stat.py

@@ -3,7 +3,7 @@ import re
 from enum import Enum
 
 class Stat(Enum):
-    CPU = 'cpu'
+    PLATFORM = 'platform'
 
     THREADS = 'threads'
     ITERATIONS = 'iterations'
@@ -21,9 +21,13 @@ class Stat(Enum):
     POWER_BEFORE = 'power before'
     POWER = 'power'
     POWER_AFTER = 'power after'
+    TIME_S_OVERALL = 'time (sec) overall'
     TIME_S = 'time (sec)'
-    DELTA_WATT = 'Δ watt'
+    JOULES_OVERALL = 'joules overall'
     JOULES = 'joules'
+    WATTS_OVERALL = 'wattage overall'
+    WATTS = 'wattage'
+    DELTA_WATT = 'Δ watt'
 
     TASK_CLK = 'task clock (msec)'
     PAGE_FAULTS = 'page faults'

pytorch/analyze.py

@@ -178,6 +178,7 @@ def main():
 
     for filename in glob.glob(f'{args.input_dir.rstrip("/")}/*.json'):
         with open(filename, 'r') as file:
+            print(filename)
             data_list.append(json.load(file))
         print(filename + " loaded.")
 

pytorch/output_test2/altra_10_10_soc-sign-Slashdot090221_100000.json

@@ -1,2 +1 @@
 {"CPU": "ALTRA", "ITERATIONS": 100000, "MATRIX_FILE": "soc-sign-Slashdot090221", "MATRIX_SHAPE": [82144, 82144], "MATRIX_SIZE": 6747636736, "MATRIX_NNZ": 549202, "MATRIX_DENSITY": 8.13917555860553e-05, "TIME_S": 9.906620264053345, "BASELINE_TIME_S": 10, "BASELINE_DELAY_S": 10, "POWER_BEFORE": [21.48, 21.28, 21.6, 21.6, 21.88, 21.96, 21.96, 21.84, 21.4, 21.44], "POWER": [102.12, 100.8, 88.12, 72.96, 55.76, 56.68, 60.92, 60.92, 77.88, 98.52, 109.4, 109.76, 111.0, 109.04, 106.48, 104.8, 105.32, 102.52], "JOULES": 1025.1467094707486, "POWER_AFTER": [21.88, 21.84, 21.76, 21.24, 21.36, 21.4, 21.32, 21.48, 21.6, 21.48]}
-48, 21.4, 21.12, 20.92, 20.6]}

pytorch/run.py

@@ -65,6 +65,8 @@ program_result = run_program(program[args.cpu])
 result |= program_result[0]
 print(program_result[1], file=sys.stderr)
 
+result[Stat.TIME_S.name] = result[Stat.TIME_S_OVERALL.name] / result[Stat.ITERATIONS.name]
+
 if args.power:
     result[Stat.BASELINE_TIME_S.name] = args.baseline_time_s
     result[Stat.BASELINE_DELAY_S.name] = args.baseline_delay_s
@@ -91,15 +93,15 @@ if args.power:
         # Riemann Sum across the last (s) power recordings.
         from math import ceil
         result[Stat.JOULES.name] = (
-                sum(result[Stat.POWER.name][-ceil(result[Stat.TIME_S.name]):-1])
-                + (result[Stat.POWER.name][-1] * (result[Stat.TIME_S.name] % 1)))
+                sum(result[Stat.POWER.name][-ceil(result[Stat.TIME_S_OVERALL.name]):-1])
+                + (result[Stat.POWER.name][-1] * (result[Stat.TIME_S_OVERALL.name] % 1)))
 
     elif args.cpu == Cpu.EPYC_7313P:
         power_process = subprocess.Popen(
                 [python[args.cpu], 'power.py'] + program[args.cpu],
                 stdout=subprocess.PIPE, stderr=subprocess.DEVNULL, text=True)
         result[Stat.POWER.name] = [float(x) for x in power_process.communicate()[0].strip().split('\n')]
-        result[Stat.JOULES.name] = result[Stat.POWER.name][0] * result[Stat.TIME_S.name]
+        result[Stat.JOULES.name] = result[Stat.POWER.name][0] * result[Stat.TIME_S_OVERALL.name]
 
     if args.debug:
         print(result)

pytorch/spmv.py

@@ -50,7 +50,7 @@ print(f"NNZ: {result[Stat.MATRIX_NNZ.name]}", file=sys.stderr)
 result[Stat.MATRIX_DENSITY.name] = matrix.values().shape[0] / (matrix.shape[0] * matrix.shape[1])
 print(f"Density: {result[Stat.MATRIX_DENSITY.name]}", file=sys.stderr)
 
-result[Stat.TIME_S.name] = end - start
-print(f"Time: {result[Stat.TIME_S.name]} seconds", file=sys.stderr)
+result[Stat.TIME_S_OVERALL.name] = end - start
+print(f"Time: {result[Stat.TIME_S_OVERALL.name]} seconds", file=sys.stderr)
 
 print(json.dumps(result))