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| author | Bjoern B. Brandenburg <bbb@cs.unc.edu> | 2010-03-24 16:03:16 -0400 |
|---|---|---|
| committer | Bjoern B. Brandenburg <bbb@cs.unc.edu> | 2010-03-24 16:03:16 -0400 |
| commit | 7ef10f46daa5fa91469d0643bce891255444078d (patch) | |
| tree | 63b154b8dbdc6f4043fca58c75f92e67b4112182 | |
| parent | 36a1d6ef801fe2ade27e173b23bb13fe29213d11 (diff) | |
first shot at jupiter-based PM overhead experiment plotting
| -rwxr-xr-x | plot_pm2.py | 154 |
1 files changed, 154 insertions, 0 deletions
diff --git a/plot_pm2.py b/plot_pm2.py new file mode 100755 index 0000000..d53a6da --- /dev/null +++ b/plot_pm2.py | |||
| @@ -0,0 +1,154 @@ | |||
| 1 | #!/usr/bin/env python | ||
| 2 | import defapp | ||
| 3 | from os.path import splitext, basename | ||
| 4 | from optparse import make_option as o | ||
| 5 | from tempfile import NamedTemporaryFile as Tmp | ||
| 6 | |||
| 7 | import csv | ||
| 8 | |||
| 9 | from plot import decode | ||
| 10 | from gnuplot import gnuplot, FORMATS | ||
| 11 | |||
| 12 | |||
| 13 | MACHINE_TOPOLOGY = { | ||
| 14 | 'jupiter-cs' : (4, [('preempt', lambda x, y: x == y), ('mem', lambda x, y: x != y)]) | ||
| 15 | } | ||
| 16 | |||
| 17 | PMO_PARAM = { | ||
| 18 | 'wss' : 'WSS', | ||
| 19 | 'host' : 'host', | ||
| 20 | 'wcycle' : 'write-cycle' | ||
| 21 | } | ||
| 22 | |||
| 23 | PMO_MEM = { | ||
| 24 | 'mem' : 'a migration through main memory', | ||
| 25 | 'preempt' : 'a preemption', | ||
| 26 | 'all' : 'either a migration or preemption', | ||
| 27 | } | ||
| 28 | |||
| 29 | PMO_SUBPLOTS = [ | ||
| 30 | # x, y, y-delta, split according to mem-hierarchy? | ||
| 31 | (0, 6, None, False), | ||
| 32 | (0, 7, None, False), | ||
| 33 | (0, 8, None, False), | ||
| 34 | (0, 9, None, False), | ||
| 35 | (0, 10, None, True), | ||
| 36 | (3, 10, None, True), | ||
| 37 | (0, 10, 9, True), | ||
| 38 | (3, 10, 9, True), | ||
| 39 | ] | ||
| 40 | |||
| 41 | PMO_COL_LABEL = [('measurement', 'sample', 'index'), | ||
| 42 | ('write cycles', 'wcycle', 'every nth access'), | ||
| 43 | ('WSS', 'wcc', 'kilobytes'), | ||
| 44 | ('suspension length', 'delay', 'microseconds'), | ||
| 45 | ('CPU (preempted on)', 'from', 'processor'), | ||
| 46 | ('CPU (resumed on)', 'to', 'processor'), | ||
| 47 | ('cold access', 'cold', 'cycles'), | ||
| 48 | ('first hot access', 'hot1', 'cycles'), | ||
| 49 | ('second hot access', 'hot2', 'cycles'), | ||
| 50 | ('third hot access', 'hot3', 'cycles'), | ||
| 51 | ('access after resuming', 'after', 'cycles') | ||
| 52 | ] | ||
| 53 | |||
| 54 | PMO_FROM_CPU = 4 | ||
| 55 | PMO_TO_CPU = 5 | ||
| 56 | |||
| 57 | options = [ | ||
| 58 | o('-f', '--format', action='store', dest='format', type='choice', | ||
| 59 | choices=FORMATS, help='output format'), | ||
| 60 | o(None, '--paper', action='store_true', dest='paper'), | ||
| 61 | o(None, '--wide', action='store_true', dest='wide'), | ||
| 62 | o(None, '--split', action='store_true', dest='split'), | ||
| 63 | ] | ||
| 64 | |||
| 65 | defaults = { | ||
| 66 | 'format' : 'show', | ||
| 67 | 'paper' : False, | ||
| 68 | 'split' : False, | ||
| 69 | 'wide' : False, | ||
| 70 | } | ||
| 71 | |||
| 72 | def extract_cols(data, xcol, ycol1, ycol2, cast=int, cpu_filter=lambda x, y: True): | ||
| 73 | for row in data: | ||
| 74 | fcpu = int(row[PMO_FROM_CPU]) | ||
| 75 | tcpu = int(row[PMO_TO_CPU]) | ||
| 76 | if cpu_filter(fcpu, tcpu): | ||
| 77 | if ycol2 is None: | ||
| 78 | yield (row[xcol], cast(row[ycol1])) | ||
| 79 | else: | ||
| 80 | yield (row[xcol], cast(row[ycol1]) - cast(row[ycol2])) | ||
| 81 | |||
| 82 | class CyclePlotter(defapp.App): | ||
| 83 | def __init__(self): | ||
| 84 | defapp.App.__init__(self, options, defaults, no_std_opts=True) | ||
| 85 | |||
| 86 | def setup_pmo_graphs(self, datafile, conf): | ||
| 87 | host = conf['host'] | ||
| 88 | if host in MACHINE_TOPOLOGY: | ||
| 89 | (cpus, hier) = MACHINE_TOPOLOGY[host] | ||
| 90 | plots = [] | ||
| 91 | data = list(csv.reader(open(datafile))) | ||
| 92 | for (xcol, ycol, yminus, by_mem_hierarchy) in PMO_SUBPLOTS: | ||
| 93 | sub = [('all', lambda x, y: True)] | ||
| 94 | if by_mem_hierarchy: | ||
| 95 | sub += hier | ||
| 96 | for tag, test in sub: | ||
| 97 | tmp = Tmp() | ||
| 98 | for row in extract_cols(data, | ||
| 99 | xcol, ycol, yminus, | ||
| 100 | cpu_filter=test): | ||
| 101 | tmp.write("%s, %s\n" % row) | ||
| 102 | tmp.flush() | ||
| 103 | plots.append((tmp, xcol, ycol, yminus, tag)) | ||
| 104 | return plots | ||
| 105 | else: | ||
| 106 | self.err('Unkown host: %s' % host) | ||
| 107 | return None | ||
| 108 | |||
| 109 | def plot_preempt_migrate(self, datafile, name, conf): | ||
| 110 | plots = self.setup_pmo_graphs(datafile, conf) | ||
| 111 | for (tmp, xcol, ycol, yminus, tag) in plots: | ||
| 112 | xtag = PMO_COL_LABEL[xcol][1] | ||
| 113 | ytag = PMO_COL_LABEL[ycol][1] | ||
| 114 | dtag = "-delta-%s" % PMO_COL_LABEL[yminus][1] if not yminus is None else "" | ||
| 115 | figname = "%s_%s%s-vs-%s_%s" % (name, ytag, dtag, xtag, tag) | ||
| 116 | xunit = PMO_COL_LABEL[xcol][2] | ||
| 117 | yunit = PMO_COL_LABEL[ycol][2] | ||
| 118 | ylabel = PMO_COL_LABEL[ycol][0] | ||
| 119 | xlabel = PMO_COL_LABEL[xcol][0] | ||
| 120 | title = "%s" % ylabel | ||
| 121 | if ycol == 10: | ||
| 122 | title += " from %s" % PMO_MEM[tag] | ||
| 123 | for key in conf: | ||
| 124 | if key in PMO_PARAM: | ||
| 125 | title += " %s=%s" % (PMO_PARAM[key], conf[key]) | ||
| 126 | gnuplot([(tmp.name, 1, 2, ylabel)], | ||
| 127 | xlabel="%s (%s)" % (xlabel, xunit), | ||
| 128 | ylabel="%s (%s)" % ("access cost" if yminus is None | ||
| 129 | else "delta to %s" % PMO_COL_LABEL[yminus][0], | ||
| 130 | yunit), | ||
| 131 | title=title, | ||
| 132 | style='points', | ||
| 133 | format=self.options.format, | ||
| 134 | fname=figname) | ||
| 135 | |||
| 136 | def plot_file(self, datafile): | ||
| 137 | bname = basename(datafile) | ||
| 138 | name, ext = splitext(bname) | ||
| 139 | if ext != '.csv': | ||
| 140 | self.err("Warning: '%s' doesn't look like a CSV file." | ||
| 141 | % bname) | ||
| 142 | conf = decode(name) | ||
| 143 | if 'pmo' in conf: | ||
| 144 | self.plot_preempt_migrate(datafile, name, conf) | ||
| 145 | else: | ||
| 146 | self.err("Skipped '%s'; unkown experiment type." | ||
| 147 | % bname) | ||
| 148 | |||
| 149 | def default(self, _): | ||
| 150 | for datafile in self.args: | ||
| 151 | self.plot_file(datafile) | ||
| 152 | |||
| 153 | if __name__ == "__main__": | ||
| 154 | CyclePlotter().launch() | ||
