1 files changed, 39 insertions, 0 deletions
diff --git a/archive/2025/summer/msc_berkay_eren_ueruen/pyplots/scaling.py b/archive/2025/summer/msc_berkay_eren_ueruen/pyplots/scaling.py
new file mode 100644
index 000000000..0172faa7c
--- /dev/null
+++ b/archive/2025/summer/msc_berkay_eren_ueruen/pyplots/scaling.py
@@ -0,0 +1,39 @@
+import matplotlib.pyplot as plt
+import numpy as np
+from scipy.interpolate import make_interp_spline
+import matplotlib.pyplot as plt
+
+# context size
+x_axis = np.array([1, 2, 4, 8, 16])
+
+# ms/token
+#kv_reset = np.array([18.6,22.6,26.6,41,55, 73, 1460])
+same_prio_gpu = np.array([81.8536, 53.9743, 52.2258, 52.411, 50.3522])
+diff_prio_gpu = np.array([81.8536, 80.4614, 72.5223, 72.9985, 71.122])
+
+same_prio_cpu = np.array([2.83991, 0.589248, 0.820965, 1.08444, 1.30965])
+diff_prio_cpu = np.array([2.83991, 3.00996, 3.01702, 3.01491, 2.45732])
+
+# smooth out curves
+#x_axis_new = np.linspace(x_axis.min(), x_axis.max(), 500)
+
+fig, (ax1, ax2) = plt.subplots(1, 2,figsize=(10, 5))
+fig.suptitle('Throughput change with number of clients')
+
+#plt.title("LLM-OS overhead")
+#ax1.title("Througput change with number of same priority client")
+fig.supxlabel("Number of active clients")
+fig.supylabel("Throughput (tokens per second)")
+ax1.plot(x_axis, same_prio_gpu, label = 'Same priotiy requests')
+ax1.plot(x_axis, diff_prio_gpu, label = 'Different priotiy requests')
+ax1.set_title("GPU")
+
+ax2.plot(x_axis, same_prio_cpu, label = 'Same priotiy requests')
+ax2.plot(x_axis, diff_prio_cpu, label = 'Different priotiy requests')
+ax2.set_title("CPU")
+#plt.plot(x_axis, same_prio_gpu, label = 'Same priotiy requests on CPU')
+#plt.plot(x_axis, same_prio_gpu, label = 'Different priotiy requests on CPU')
+ax2.legend()
+plt.savefig('server-client-scaling.png', format='png', dpi=1200)
+#plt.show()
+