Add show_models.py

cache_utils/show_models.py

@@ -0,0 +1,54 @@
+"""
+Try some models and see what they look like
+Following this die could help https://en.wikichip.org/w/images/4/48/E5_v4_LCC.png
+Using the following naming convention:
+
+    ------
+    0    7
+    1    6
+    2    5
+    3    4
+    ------
+"""
+import matplotlib.pyplot as plt
+import numpy as np
+
+nb_cores = 8
+nb_slices = 8
+
+cores = list(range(nb_cores))
+slices = list(range(nb_slices))
+
+
+
+def hit_jump_ring():
+    """
+    - ini : initial cost
+    - core_step : cost to go from one core to the following (eg 0 to 1)
+    - ring_step : cost to go from one line to the other (eg 0 to 7)
+
+    Issue: on a same socket, we observe always the first 4 or last 4 patterns, but not mixed
+    """
+    def hit(helper, slice, i, c, l):
+        if helper // (nb_cores/2) != slice // (nb_cores/2):
+            mini, maxi = min(slice, helper), max(slice, helper)
+            return i+l+c*(min(mini+nb_cores-1-maxi, maxi-mini-1))
+        else:
+            return i+c*abs(slice-helper)
+
+    ini, core_step, ring_step = 4, 1, 5
+    fig, axs = plt.subplots(nrows=1, ncols=8, figsize=(15, 5))
+
+    for i, helper in enumerate(range(8)):
+        axs[i].plot(cores, [hit(helper, slice, ini, core_step, ring_step) for slice in slices], "ro")
+        axs[i].set_title(f"helper = {helper}")
+        axs[i].set_ylabel("clflush_hit_time")
+        axs[i].set_xlabel("slice_group")
+        axs[i].set_ylim([0, 20])
+
+    plt.tight_layout()
+    plt.show()
+
+
+
+hit_jump_ring()