configs/example/arm/fs_power.py

   1 # Copyright (c) 2017 ARM Limited
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  35 #
  36 # Authors: Andreas Sandberg
  37 #          Stephan Diestelhorst
  38
  39 # This configuration file extends the example ARM big.LITTLE(tm)
  40 # with example power models.
  41
  42 from __future__ import print_function
  43 from __future__ import absolute_import
  44
  45 import argparse
  46 import os
  47
  48 import m5
  49 from m5.objects import MathExprPowerModel, PowerModel
  50
  51 import fs_bigLITTLE as bL
  52
  53
  54 class CpuPowerOn(MathExprPowerModel):
  55     # 2A per IPC, 3pA per cache miss
  56     # and then convert to Watt
  57     dyn = "voltage * (2 * ipc + " \
  58             "3 * 0.000000001 * dcache.overall_misses / sim_seconds)"
  59     st = "4 * temp"
  60
  61 class CpuPowerOff(MathExprPowerModel):
  62     dyn = "0"
  63     st = "0"
  64
  65 class CpuPowerModel(PowerModel):
  66     pm = [
  67         CpuPowerOn(), # ON
  68         CpuPowerOff(), # CLK_GATED
  69         CpuPowerOff(), # SRAM_RETENTION
  70         CpuPowerOff(), # OFF
  71     ]
  72
  73 class L2PowerOn(MathExprPowerModel):
  74     # Example to report l2 Cache overall_accesses
  75     # The estimated power is converted to Watt and will vary based on the size of the cache
  76     dyn = "overall_accesses*0.000018000"
  77     st = "(voltage * 3)/10"
  78
  79 class L2PowerOff(MathExprPowerModel):
  80     dyn = "0"
  81     st = "0"
  82
  83 class L2PowerModel(PowerModel):
  84     # Choose a power model for every power state
  85     pm = [
  86         L2PowerOn(), # ON
  87         L2PowerOff(), # CLK_GATED
  88         L2PowerOff(), # SRAM_RETENTION
  89         L2PowerOff(), # OFF
  90     ]
  91
  92
  93 def main():
  94     parser = argparse.ArgumentParser(
  95         description="Generic ARM big.LITTLE configuration with "\
  96         "example power models")
  97     bL.addOptions(parser)
  98     options = parser.parse_args()
  99
 100     if options.cpu_type != "timing":
 101         m5.fatal("The power example script requires 'timing' CPUs.")
 102
 103     root = bL.build(options)
 104
 105     # Wire up some example power models to the CPUs
 106     for cpu in root.system.descendants():
 107         if not isinstance(cpu, m5.objects.BaseCPU):
 108             continue
 109
 110         cpu.default_p_state = "ON"
 111         cpu.power_model = CpuPowerModel()
 112
 113     # Example power model for the L2 Cache of the bigCluster
 114     for l2 in root.system.bigCluster.l2.descendants():
 115         if not isinstance(l2, m5.objects.Cache):
 116             continue
 117
 118         l2.default_p_state = "ON"
 119         l2.power_model = L2PowerModel()
 120
 121     bL.instantiate(options)
 122
 123     print("*" * 70)
 124     print("WARNING: The power numbers generated by this script are "
 125         "examples. They are not representative of any particular "
 126         "implementation or process.")
 127     print("*" * 70)
 128
 129     # Dumping stats periodically
 130     m5.stats.periodicStatDump(m5.ticks.fromSeconds(0.1E-3))
 131     bL.run()
 132
 133
 134 if __name__ == "__m5_main__":
 135     main()