add plot bitwise figure script

Addresses #653.

analysis/statistics/5693026eb3620065f35a8222bf3202096ca061c6.txt

@@ -0,0 +1,46 @@
+
+changeset: 1495:5693026eb3620065f35a8222bf3202096ca061c6
+char kNewtonVersion[] = "0.3-alpha-1495 (5693026eb3620065f35a8222bf3202096ca061c6) (build 05-22-2023-11:[email protected]_64)";
+\n./src/noisy/noisy-linux-EN -O0 applications/noisy/helloWorld.n -s
+\n./src/newton/newton-linux-EN -v 0 -eP applications/newton/invariants/ViolinWithTemperatureDependence-pigroups.nt
+
+Informational Report:
+---------------------
+Invariant "ViolinWithTemperatureDependenceForPiGroups" has 2 unique kernels, each with 2 column(s)...
+
+	Kernel 0 is a valid kernel:
+
+		   1   1
+		-0.5  -0
+		   1   0
+		 0.5   0
+		   0  -1
+		  -0  -1
+
+
+		The ordering of parameters is:	P1 P0 P3 P2 P4 P5 
+
+			Pi group 0, Pi 0 is:	P0^(-0.5)  P1^( 1)  P2^(0.5)  P3^( 1)  P4^( 0)  P5^(-0)  
+
+			Pi group 0, Pi 1 is:	P0^(-0)  P1^( 1)  P2^( 0)  P3^( 0)  P4^(-1)  P5^(-1)  
+
+
+	Kernel 1 is a valid kernel:
+
+		   1   0
+		-0.5   1
+		   1  -2
+		 0.5  -1
+		  -0  -2
+		   0  -2
+
+
+		The ordering of parameters is:	P1 P0 P3 P2 P4 P5 
+
+			Pi group 1, Pi 0 is:	P0^(-0.5)  P1^( 1)  P2^(0.5)  P3^( 1)  P4^(-0)  P5^( 0)  
+
+			Pi group 1, Pi 1 is:	P0^( 1)  P1^( 0)  P2^(-1)  P3^(-2)  P4^(-2)  P5^(-2)  
+
+
+
+

applications/newton/llvm-ir/performance_test/plot_bitwise_compare.py

@@ -0,0 +1,93 @@
+import matplotlib.pyplot as plt
+import numpy as np
+from matplotlib.ticker import FuncFormatter
+from matplotlib.ticker import PercentFormatter
+
+
+def bar_plot_groups(labels,
+                    y1,
+                    y2,
+                    y1_label,
+                    y2_label,
+                    ylabel,
+                    title,
+                    save_fig='',
+                    percentage=False):
+    """
+    A simple wrapper for matplotlib's barplot.
+
+    :param labels:
+    :param y1:
+    :param y2:
+    :param ylabel:
+    :param xlabel:
+    :param save_fig:
+    :return:
+    """
+    xlabel = labels + labels
+    x = np.arange(len(xlabel))  # the label locations
+    width = 0.35  # the width of the bars
+
+    plt.rc('text', usetex=True)
+    plt.rc('font', family='serif')
+    plt.rc('font', size=12)
+
+    fig, ax = plt.subplots()
+    # ax.bar(x - width / 2, y1[0:len(x)], width, label=y1_label, color='#c2a4cf')
+    # ax.bar(x + width / 2, y2[0:len(x)], width, label=y2_label, color='#7b3294')
+    ax.bar(x[0:len(labels)] - width / 2, y1[0:len(labels)], width, label="arm "+y1_label, color='#fdb863')
+    ax.bar(x[0:len(labels)] + width / 2, y2[0:len(labels)], width, label="arm "+y2_label, color='#e66101')
+    ax.bar(x[len(labels):] - width / 2, y1[len(labels):], width, label="x86 "+y1_label, color='#c2a4cf')
+    ax.bar(x[len(labels):] + width / 2, y2[len(labels):], width, label="x86 "+y2_label, color='#7b3294')
+
+    # Add some text for labels, title and custom x-axis tick labels, etc.
+    ax.set_ylabel(ylabel)
+    if percentage:
+        ax.yaxis.set_major_formatter(PercentFormatter(1))
+        ax.set_ylim([min(min(y1), min(y2))*0.8, max(max(y1), max(y2))*1.3])
+    else:
+        ax.set_ylim([min(min(y1), min(y2))*0.8, max(max(y1), max(y2))*1.1])
+    ax.set_title(title)
+    ax.set_xticks(x)
+    ax.set_xticklabels(xlabel)
+    ax.legend(prop={'size': 9}, loc='upper right')
+
+    plt.xticks(rotation=45)
+    ax.yaxis.grid()  # horizontal lines
+
+    fig.tight_layout()
+
+    if len(save_fig):
+        plt.savefig(save_fig)
+    else:
+        plt.show()
+
+
+if __name__ == '__main__':
+    labels = ["perf_rem_pio2", "perf_sincosf", "perf_float64_add", "perf_float64_div", "perf_float64_mul"]
+
+    # time speedup
+    arm_without_bitwise = [1.04, 1, 1.25, 1.16, 1.22]
+    arm_with_bitwise = [1.11, 1.39, 2.01, 1.41, 1.33]
+    x86_without_bitwise = [1.07, 1.05, 1.18, 1.06, 1.12]
+    x86_with_bitwise = [1.13, 1.48, 1.47, 1.14, 1.20]
+    y1 = arm_without_bitwise + x86_without_bitwise
+    y2 = arm_with_bitwise + x86_with_bitwise
+
+    bar_plot_groups(labels, y1, y2, 'w/o Bitwise Op Analysis',
+                    'w/ Bitwise Op Analysis', 'Speedup',
+                    'Speedup with/without bitwise operator analysis',
+                    'bitwise_op_time_comparison.png')
+
+    # size reduction
+    arm_without_bitwise = [0.71, 1, 1, 0.86, 0.89]
+    arm_with_bitwise = [0.8, 0.92, 0.98, 0.79, 0.98]
+    x86_without_bitwise = [0.46, 1, 1, 0.86, 0.86]
+    x86_with_bitwise = [0.65, 0.91, 0.99, 0.79, 0.94]
+    y1 = arm_without_bitwise + x86_without_bitwise
+    y2 = arm_with_bitwise + x86_with_bitwise
+
+    bar_plot_groups(labels, y1, y2, 'w/o Bitwise Op Analysis',
+                    'w/ Bitwise Op Analysis', 'Reduction',
+                    'Size reduction with/without bitwise operator analysis',
+                    'bitwise_op_size_comparison.png', percentage=True)