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| import matplotlib.pyplot as plt | ||
| import os | ||
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| lru_result_path = './poly_trace_lru_2/' | ||
| carl_result_path = './ref_trace_osl_result/' | ||
| #carl_result_low_path = './carl_onlyRueses/' | ||
| #carl_result_upper_path = './carl_64B_result/' | ||
| #carl_result_random_path = './carl_randomLeaseAssignment/' | ||
| opt_result_path = './poly_trace_opt_mrc/' | ||
| rll_maxNumOfCLSize_path = "./poly_trace_rll_maxCLSize/" | ||
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| names = ["2mm", "3mm", "adi", "atax", "bicg", "cholesky", "correlation", "covariance", "deriche", "doitgen", "durbin", "fdtd_2d", "floyd_warshall", "gemm", "gemver", "gesummv", "gramschmidt", "heat_3d", "jacobi_1d", "jacobi_2d", "lu", "ludcmp", "mvt", "nussinov", "seidel_2d", "symm", "syr2d", "syrk", "trisolv", "trmm"] | ||
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| yMax = {"mvt" : 0.3, "3mm" : 0.4, "bicg" : 0.1, "gemm" : 0.5, "heat_3d" : 0.2, "trmm" : 0.8, "covariance" : 1, "durbin" : 0.2, "doitgen" : 1, "deriche" : 0.4, "symm" : 0.7, "syr2d" : 0.6, "jacobi_2d" : 0.2, "adi" : 0.3, "gramschmidt" : 1, "gesummv" : 0.1, "correlation" : 0.8, "floyd_warshall" : 0.1, "atax" : 0.1, "ludcmp" : 0.8, "seidel_2d" : 0.1, "trisolv" : 0.1, "gemver" : 0.2, "fdtd_2d" : 0.2, "2mm" : 0.5, "jacobi_1d" : 0.1, "cholesky" : 0.2, "lu" : 0.5, "syrk" : 0.1, "nussinov" : 0.4} | ||
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| fontSizeSet = 20 | ||
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| def processLRU(path, name, cls): | ||
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| lru_c = [] | ||
| lru_rd = [] | ||
| lru_mr = [] | ||
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| lru_total_rd_cnt = 0 | ||
| coldMiss = 0 | ||
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| #content = open(path + 'lru_64B_' + name + '_mrc.txt', 'r') | ||
| content = open(path + name + "_trace_result.txt", 'r') | ||
| for line in content: | ||
| if ('Bin' in line): | ||
| lineList = line.split() | ||
| if ('to' not in line): | ||
| lru_rd.append([int(lineList[4]), int(lineList[7])]) | ||
| lru_total_rd_cnt += int(lineList[7]) | ||
| else: | ||
| lru_rd.append([int(lineList[6]), int(lineList[9])]) | ||
| lru_total_rd_cnt += int(lineList[9]) | ||
| elif ("Total number of data blocks is" in line): | ||
| lineList = line.split() | ||
| coldMiss = int(lineList[7]) | ||
| content.close() | ||
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| lru_total_hits = 0 | ||
| for item in lru_rd: | ||
| lru_c.append(float(item[0]+1) * cls / 1024) | ||
| lru_total_hits += item[1] | ||
| lru_mr.append(1 - (float(lru_total_hits) / lru_total_rd_cnt) + float(coldMiss)/lru_total_rd_cnt) | ||
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| return lru_c, lru_mr | ||
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| def processCARL(path, name, cls): | ||
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| carl_c = [] | ||
| carl_mr = [] | ||
| total_reuse = 0 | ||
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| content = open(path + name + '_ref_osl_trace_result.txt', 'r') | ||
| for line in content: | ||
| if ('Assign lease' in line and 'avg cache size' in line and 'miss ratio' in line): | ||
| linetmp = line.split() | ||
| carl_c.append(float(linetmp[9]) * cls / 1024) | ||
| carl_mr.append(float(linetmp[12])) | ||
| if ('Ref' in line and 'RI' in line and 'CNT' in line): | ||
| linetmp = line.split() | ||
| total_reuse += int(linetmp[5]) | ||
| content.close() | ||
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| return carl_c, carl_mr | ||
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| def processOPT(path, name, cls): | ||
| opt_c = [] | ||
| opt_mr = [] | ||
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| content = open(path + "opt_" + name + ".cpp.o_mrc", 'r') | ||
| for line in content: | ||
| lineList = line.split() | ||
| if (len(lineList) == 2): | ||
| if (lineList[0].isdigit()): | ||
| opt_c.append(float(lineList[0])) | ||
| opt_mr.append(float(lineList[1])) | ||
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| while(len(opt_mr) > 2): | ||
| if (opt_mr[-1] == opt_mr[-2]): | ||
| del opt_mr[-1] | ||
| del opt_c[-1] | ||
| else: | ||
| break | ||
| return opt_c, opt_mr | ||
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| def processMaxCLSizes(path, name, cls, cacheSizes): | ||
| maxCLSizes_rll = [] | ||
| for i in range(len(cacheSizes)): | ||
| if (os.path.exists(path + name + "_lease_" + str(i) + "_rll_maxCLSize.txt")): | ||
| content = open(rll_maxNumOfCLSize_path + name + "_lease_" + str(i) + "_rll_maxCLSize.txt") | ||
| for line in content: | ||
| maxCLSizes_rll.append(float(line) * 64 / 1024) | ||
| content.close() | ||
| else: | ||
| print i, | ||
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| return maxCLSizes_rll | ||
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| ''' | ||
| def processMaxCappedCLSizes(path, name, cls): | ||
| maxCLSizes_capped_rll = [] | ||
| missRatios_capped_rll = [] | ||
| content = open(rll_cappedMaxNumOfCLSize_path + "all_capped_0_99.txt", 'r') | ||
| capped_flag = False | ||
| for line in content: | ||
| if (capped_flag): | ||
| maxCLSizes_capped_rll = eval(line) | ||
| break | ||
| if (name in line): | ||
| capped_flag = True | ||
| content.close() | ||
| return | ||
| ''' | ||
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| def processProg(name, cls, fig, fig_cnt): | ||
| ''' | ||
| carl_64B_c_low = [] | ||
| carl_64B_mr_low = [] | ||
| carl_64B_c_upper = [] | ||
| carl_64B_mr_upper = [] | ||
| carl_64B_c_random = [] | ||
| carl_64B_mr_random = [] | ||
| if (cls == 64): | ||
| carl_64B_c_low, carl_64B_mr_low = processCARL(carl_result_low_path, name, cls) | ||
| carl_64B_c_upper, carl_64B_mr_upper = processCARL(carl_result_upper_path, name, cls) | ||
| carl_64B_c_random, carl_64B_mr_random = processCARL(carl_result_random_path, name, cls) | ||
| ''' | ||
| carl_64B_c = [] | ||
| carl_64B_mr = [] | ||
| if (cls == 64): | ||
| carl_64B_c, carl_64B_mr = processCARL(carl_result_path, name, cls) | ||
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| lru_64B_c = [] | ||
| lru_64B_mr = [] | ||
| if (cls == 64): | ||
| lru_64B_c, lru_64B_mr = processLRU(lru_result_path, name, cls) | ||
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| opt_64B_c = [] | ||
| opt_64B_mr = [] | ||
| if (cls == 64): | ||
| opt_64B_c, opt_64B_mr = processOPT(opt_result_path, name, cls) | ||
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| maxCLSizes_rll = [] | ||
| if (cls == 64): | ||
| maxCLSizes_rll = processMaxCLSizes(rll_maxNumOfCLSize_path, name, cls, carl_64B_c); | ||
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| ax = fig.add_subplot(10, 3, fig_cnt) | ||
| ax.set_title(name, fontsize = fontSizeSet, y = 0.8, x = 0.6) | ||
| ax.ticklabel_format(axis='y',style='sci',scilimits=(0,0), fontsize = fontSizeSet) | ||
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| l1, l2, l3, l4, l5, l6 = None, None, None, None, None, None | ||
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| l1 = ax.plot(lru_64B_c, lru_64B_mr, color = '#5e3c99', linewidth=2.5)[0] | ||
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| #l3 = ax.plot(carl_64B_c_low, carl_64B_mr_low, color = '#b2abd2', linewidth=1.5)[0] | ||
| #l4 = ax.plot(carl_64B_c_upper, carl_64B_mr_upper, color = 'g', linewidth=1.5)[0] | ||
| #l5 = ax.plot(carl_64B_c_random, carl_64B_mr_random, color = 'b', linewidth=1.5)[0] | ||
| l3 = ax.plot(carl_64B_c, carl_64B_mr, color = '#b2abd2', linewidth=1.5)[0] | ||
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| l2 = ax.plot(opt_64B_c, opt_64B_mr, color = '#e66101', linewidth=1)[0] | ||
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| if (len(maxCLSizes_rll) == len(carl_64B_mr)): | ||
| l4 = ax.plot(maxCLSizes_rll, carl_64B_mr, "3" ,color = '#fdb863', linewidth=2, markersize=5, label = "RL-MAX")[0] | ||
| else: | ||
| print "does not match", len(maxCLSizes_rll), len(carl_64B_mr) | ||
| #for index in range(len(missRatios_rll)): | ||
| # ax.plot([maxCLSizes_capped_rll[index], maxCLSizes_rll[index]], [missRatios_rll[index], missRatios_rll[index]], color='sandybrown', linewidth=0.5, linestyle='-.') | ||
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| if (fig_cnt == 29): | ||
| ax.set_xlabel('Cache Size for LRU / Averaged Cache Size for CARL (KB)', fontsize = fontSizeSet) | ||
| if (fig_cnt == 13): | ||
| ax.set_ylabel('Miss Ratio', fontsize = fontSizeSet) | ||
| ax.set_xscale('symlog') | ||
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| ax.set_ylim(0,yMax[name]) | ||
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| ax.yaxis.set_tick_params(labelsize=fontSizeSet) | ||
| ax.xaxis.set_tick_params(labelsize=fontSizeSet) | ||
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| if (fig_cnt == 1): | ||
| fig.legend([l1, l2, l3, l4], ["LRU", "OPT", "CARL", "RL-MAX"], ncol=5, mode="expand", loc = "upper center", fontsize = fontSizeSet) | ||
| #fig.legend([l5, l6], ["LRU-512B", "CARL-512B"], ncol=2, mode="expand", loc = "upper center", fontsize = fontSizeSet) | ||
| #fig.legend([l2, l5, l4, l6], ["LRU-64B", "LRU-512B", "CARL-64B", "CARL-512B"], ncol=4, mode="expand", loc = "upper center", fontsize = fontSizeSet) | ||
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| fig_cnt += 1 | ||
| return fig, fig_cnt | ||
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| fig = plt.figure(figsize=(15, 30)) | ||
| fig_cnt = 1 | ||
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| cls = 64 | ||
| for name in names: | ||
| fig, fig_cnt = processProg(name, cls, fig, fig_cnt) | ||
| plt.subplots_adjust(left=0.08, right = 0.98, top = 0.96, bottom = 0.04) | ||
| #plt.show() | ||
| plt.savefig('all_yCapped.pdf') | ||
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