mirror of
https://github.com/andreas-abel/nanoBench.git
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70 lines
2.7 KiB
Python
Executable File
70 lines
2.7 KiB
Python
Executable File
#!/usr/bin/python
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import argparse
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import random
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from plotly.offline import plot
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import plotly.graph_objects as go
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from cacheLib import *
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import logging
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log = logging.getLogger(__name__)
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def main():
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parser = argparse.ArgumentParser(description='Tests if the L3 cache uses set dueling')
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parser.add_argument("-level", help="Cache level (Default: 3)", type=int, default=3)
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parser.add_argument("-nRuns", help="Maximum number of runs", type=int, default=25)
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parser.add_argument("-loop", help="Loop count", type=int, default=25)
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parser.add_argument("-output", help="Output file name", default='setDueling.html')
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parser.add_argument("-logLevel", help="Log level (DEBUG, INFO, WARNING, ERROR, CRITICAL)", default='INFO')
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args = parser.parse_args()
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logging.basicConfig(stream=sys.stdout, format='%(message)s', level=logging.getLevelName(args.logLevel))
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assoc = getCacheInfo(args.level).assoc
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nSets = getCacheInfo(args.level).nSets
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nCBoxes = max(1, getNCBoxUnits())
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seq = ' '.join('B' + str(i) + '?' for i in range(0, assoc*4/3))
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title = cpuid.cpu_name(cpuid.CPUID()) + ', Level: ' + str(args.level)
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html = ['<html>', '<head>', '<title>' + title + '</title>', '<script src="https://cdn.plot.ly/plotly-latest.min.js">', '</script>', '</head>', '<body>']
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html += ['<h3>' + title + '</h3>']
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allSets = range(0,nSets)
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yValuesForCBox = {cBox: [[] for s in range(0, nSets)] for cBox in range(0, nCBoxes)}
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for i in range(0, args.nRuns):
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for cBox in range(0, nCBoxes):
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yValuesList = yValuesForCBox[cBox]
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for s in list(allSets) * 2 + list(reversed(allSets)) * 2:
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if yValuesList[s] and max(yValuesList[s]) > 2 and min(yValuesList[s]) < assoc/2:
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continue
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log.info('CBox ' + str(cBox) + ', run ' + str(i) + ', set: ' + str(s))
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nb = runCacheExperiment(args.level, seq, cacheSets=str(s), clearHL=True, loop=args.loop, wbinvd=False, cBox=cBox, nMeasurements=1, warmUpCount=0)
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yValuesList[s].append(nb['L' + str(args.level) + '_HIT'])
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for cBox in range(0, nCBoxes):
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yValues = [min(x) + (max(x)-min(x))/2 for x in yValuesForCBox[cBox] if x]
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fig = go.Figure()
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fig.update_layout(title_text='CBox ' + str(cBox) + ', Sequence (accessed ' + str(args.loop) + ' times in each set): ' + seq)
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fig.update_layout(showlegend=True)
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fig.update_xaxes(title_text='Set')
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fig.add_trace(go.Scatter(y=yValues, mode='lines+markers', name='L3 Hits'))
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html.append(plot(fig, include_plotlyjs=False, output_type='div'))
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html += ['</body>', '</html>']
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with open(args.output ,'w') as f:
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f.write('\n'.join(html))
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print 'Output written to ' + args.output
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if __name__ == "__main__":
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main()
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