Analysis and cleanup

Author: akashlevy

confmat.py renamed to analysis/confmat.py

@@ -0,0 +1,45 @@
+# Import libraries
+import matplotlib.pyplot as plt, numpy as np, pandas as pd
+
+# Chip number
+CHIP = 10
+
+# Load bitstream
+bs = np.loadtxt(open("../bitstream/vectors_bitstream.txt"), dtype=np.int32)
+
+# Load target output as dataframe
+cols = ['addr', 'R']
+dtypes = {
+    'addr': np.int32,
+    'R': np.float64
+}
+data = pd.read_csv(f'../log/chip{CHIP}/read.tsv', names=cols, sep='\t', dtype=dtypes, index_col='addr')
+data['bin'] = bs[:len(data)]
+
+# CDF curves
+plt.figure(figsize=(4,3))
+plt.xlim(5, 1e3)
+plt.xscale('log')
+plt.title('Post-Prog. READ Resistance Dist.')
+for i in range(2):
+    rdata = data[data['bin'] == i]
+    counts, bin_edges = np.histogram(rdata['R']/1000, bins=65536, density=True)
+    cdf = np.cumsum(counts)
+    plt.plot(bin_edges[1:], cdf/cdf[-1]*100)
+plt.xlabel('Resistance (kOhm)')
+plt.ylabel('CDF (%)')
+plt.tight_layout()
+plt.savefig('figs/progread-cdf.pdf')
+
+plt.figure(figsize=(4,3))
+plt.xlim(0, 150)
+plt.title('Post-Prog. READ Conductance Dist.')
+for i in range(2):
+    rdata = data[data['bin'] == i]
+    counts, bin_edges = np.histogram(1e6/rdata['R'], bins=65536, density=True)
+    cdf = np.cumsum(counts)
+    plt.plot(bin_edges[1:], cdf/cdf[-1]*100)
+plt.xlabel('Conductance (uS)')
+plt.ylabel('CDF (%)')
+plt.tight_layout()
+plt.savefig('figs/progread-g-cdf.pdf')