plots

lab10/jacobi/plot_res.py

@@ -1,35 +1,55 @@
 import matplotlib.pyplot as plt
-import os
-import re
 
 # Pfad zum Verzeichnis mit den Dateien
 data_dir = "resluts/"  # ggf. anpassen
 
-threads = [1, 2,4,6,8,12,16,18,24,32,36,48]
-times = []
-speedups = []
+threads = [1, 2, 4, 6, 8, 12, 16, 18, 24, 32, 36, 48]
+times = [
+    175246,
+    89030.8,
+    45182.7,
+    30198.1,
+    22710.1,
+    15256.1,
+    13512.1,
+    13073.2,
+    10036.8,
+    9845.38,
+    8423.65,
+    7676.71,
+]
+speedups = [
+    1,
+    1.96838,
+    3.90997,
+    5.8091,
+    7.73292,
+    11.4934,
+    13.0374,
+    13.4461,
+    17.4421,
+    17.9058,
+    20.8097,
+    22.8728,
+]
 
+efficiency = [speedup / thread for speedup, thread in zip(speedups, threads)]
 
-plt.figure(figsize=(10, 5))
-plt.plot(threads, speedups, marker='o', label="Speedup")
-# plt.plot(threads, threads, linestyle='--', label="Ideal (Linear Speedup)")
-plt.title("Speedup")
+# plt.figure(figsize=(10, 5))
+plt.plot(threads, efficiency, marker="o", label="Speedup")
+plt.title("Efficiency")
 plt.xlabel("Threads")
-plt.ylabel("Speedup")
+plt.ylabel("Efficiency")
 plt.grid(True)
-plt.legend()
+# plt.legend()
 # plt.tight_layout()
-plt.savefig("speedup_plot.png")
+plt.savefig("efficiency_plot.png")
 
+plt.clf()
 # --- Plot 2: Performance ---
-plt.figure(figsize=(10, 5))
-plt.plot(threads, times, marker='o')
+plt.plot(threads, times, marker="o")
 plt.title("Performance")
 plt.xlabel("Threads")
 plt.ylabel("Performance (ms)")
 plt.grid(True)
-# plt.tight_layout()
 plt.savefig("performance_plot.png")
-
-print("Plots gespeichert: speedup_plot.png und performance_plot.png")
-