Benchmark adjustments and plotting

koka_bench/plot_demo.py

@@ -0,0 +1,150 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+
+Created on Mon Apr 18 18:47:57 2022
+Modified Wednesday July 7th
+
+@author: bodhisatwa, Nathan Braswell
+
+"""
+
+import matplotlib.pyplot as plt
+import numpy as np
+import math
+
+def plot_graph3():
+     n_groups = 10
+     a = [0.02,0.04,0.04,1.15,2.21,1.01,1.58,0.92,0.21,0.39]
+     d = ["Single Pointer","Simple Loop","Loop Nest","519.lbm","505.mcf","525.x264","bzip2","gzip","grep","tar"]
+
+     fig, ax = plt.subplots()
+     index = np.arange(n_groups)
+     bar_width = 0.4
+     opacity = 0.9
+
+     ax.set_facecolor('gainsboro')
+     #ax.set_facecolor((1.0, 0.47, 0.42))
+
+     rects1 = plt.bar(index, a, bar_width, alpha=opacity, color='orange')
+
+     plt.xlabel('Benchmarks')
+     #plt.xlabel('Mix #')
+
+     plt.ylabel('Improvement in Execution Time (%)')
+     #plt.title("Performance Improvement of Parallelization")
+     #plt.title("Mix$_{16}$ execution time normalized to original time")
+
+     ax.ticklabel_format(useOffset=False, style='plain')
+     plt.xticks(index, d, rotation=0)
+     plt.legend()
+
+     plt.tight_layout()
+     plt.xticks(rotation = 45)
+     plt.subplots_adjust(bottom=0.25)
+     plt.savefig("performance-backend.png", dpi = 96 * 2 * 2)
+     plt.show()
+
+def plot_graph2():
+
+     n_groups = 10
+     a = [0.02,0.03,0.21,2.97,4.01,1.63,3.16,2.62,0.92,0.64]
+     d = ["Single Pointer","Simple Loop","Loop Nest","519.lbm","505.mcf","525.x264","bzip2","gzip","grep","tar"]
+
+     fig, ax = plt.subplots()
+     index = np.arange(n_groups)
+     bar_width = 0.4
+     opacity = 0.9
+
+     ax.set_facecolor('gainsboro')
+     #ax.set_facecolor((1.0, 0.47, 0.42))
+
+     rects1 = plt.bar(index, a, bar_width, alpha=opacity, color='orange')
+
+     plt.xlabel('Benchmarks')
+     #plt.xlabel('Mix #')
+     plt.ylabel('Binary Size Reduction (%)')
+     #plt.title("Performance Improvement of Parallelization")
+     #plt.title("Mix$_{16}$ execution time normalized to original time")
+
+     ax.ticklabel_format(useOffset=False, style='plain')
+     plt.xticks(index, d, rotation=0)
+     plt.legend()
+
+     plt.tight_layout()
+     plt.xticks(rotation = 45)
+     plt.subplots_adjust(bottom=0.25)
+     plt.savefig("size_reduction.png", dpi = 96 * 2 * 2)
+     plt.show()
+
+def plot_graph():
+     n_groups = 6
+     a = [3.383796596,44.3223119,0.467799154,8.831168831,26.36934002,4.855710338]
+     b = [10.04489527,5.241043846,0.4112731088,6.908163265,3.153844655,10.67011095]
+     d = ['Adi', 'Fdtd-2D', 'Heat-3D', "Jacobi-1D", "Jacobi-2D", "Seidel-2D"]
+
+     fig, ax = plt.subplots()
+     index = np.arange(n_groups)
+     bar_width = 0.4
+     opacity = 0.9
+
+     ax.set_facecolor('gainsboro')
+
+     #ax.set_facecolor((1.0, 0.47, 0.42))
+     rects1 = plt.bar(index-0.2, a, bar_width, alpha=opacity, color='orange', label="Apple M1 Pro")
+
+     rects3 = plt.bar(index+0.2, b, bar_width, alpha=opacity, color='cornflowerblue', label='Intel Xeon E5-2660')
+
+     plt.xlabel('Benchmarks')
+     #plt.xlabel('Mix #')
+     plt.ylabel('Improvement in Execution Time (X)')
+     #plt.title("Performance Improvement of Parallelization")
+     #plt.title("Mix$_{16}$ execution time normalized to original time")
+
+     ax.ticklabel_format(useOffset=False, style='plain')
+     plt.xticks(index, d, rotation=0)
+     plt.legend()
+
+     plt.tight_layout()
+     plt.savefig("bin_style1.png", dpi = 96 * 2)
+     plt.show()
+
+def plot_graph4():
+     n_groups = 22
+     a = [2,2,2,2,6,4,4,4,5,15,6,4,5,2,2,7,3,4,5,5,5,2]
+     b = [0,0,0,0,0,0,0,0,1,7,0,0,1,0,0,1,1,0,0,1,1,0]
+     d = ['1', '2', '3', "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22"]
+
+     fig, ax = plt.subplots()
+     index = np.arange(n_groups)
+     bar_width = 0.4
+     opacity = 0.9
+
+
+     ax.set_facecolor('gainsboro')
+     #ax.set_facecolor((1.0, 0.47, 0.42))
+
+     rects1 = plt.bar(index-0.2, a, bar_width, alpha=opacity, color='orange', label="Without Invariant Knowledge")
+
+     rects3 = plt.bar(index+0.2, b, bar_width, alpha=opacity, color='cornflowerblue', label='With Invariant Knowledge')
+
+     plt.xlabel('Chapter 2 Loop Nest #')
+     #plt.xlabel('Mix #')
+     plt.ylabel('Number of Dependencies')
+     #plt.title("Performance Improvement of Parallelization")
+     #plt.title("Mix$_{16}$ execution time normalized to original time")
+
+     ax.ticklabel_format(useOffset=False, style='plain')
+     plt.xticks(index, d, rotation=0)
+     plt.legend()
+
+     plt.tight_layout()
+     plt.savefig("bin_style1.png", dpi = 96 * 2)
+     plt.show()
+
+plot_graph()
+plot_graph2()
+plot_graph3()
+plot_graph4()
+
+