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# Authors: Andreas Sandberg
#          Stephan Diestelhorst

# This configuration file extends the example ARM big.LITTLE(tm)
# with example power models.

from __future__ import print_function

import argparse
import os

import m5
from m5.objects import MathExprPowerModel, PowerModel

import fs_bigLITTLE as bL


class CpuPowerOn(MathExprPowerModel):
    # 2A per IPC, 3pA per cache miss
    # and then convert to Watt
    dyn = "voltage * (2 * ipc + " \
            "3 * 0.000000001 * dcache.overall_misses / sim_seconds)"
    st = "4 * temp"

class CpuPowerOff(MathExprPowerModel):
    dyn = "0"
    st = "0"

class CpuPowerModel(PowerModel):
    pm = [
        CpuPowerOn(), # ON
        CpuPowerOff(), # CLK_GATED
        CpuPowerOff(), # SRAM_RETENTION
        CpuPowerOff(), # OFF
    ]


def main():
    parser = argparse.ArgumentParser(
        description="Generic ARM big.LITTLE configuration with "\
        "example power models")
    bL.addOptions(parser)
    options = parser.parse_args()

    if options.cpu_type != "timing":
        m5.fatal("The power example script requires 'timing' CPUs.")

    root = bL.build(options)

    # Wire up some example power models to the CPUs
    for cpu in root.system.descendants():
        if not isinstance(cpu, m5.objects.BaseCPU):
            continue

        cpu.default_p_state = "ON"
        cpu.power_model = CpuPowerModel()

    bL.instantiate(options)

    print("*" * 70)
    print("WARNING: The power numbers generated by this script are "
        "examples. They are not representative of any particular "
        "implementation or process.")
    print("*" * 70)

    # Dumping stats periodically
    m5.stats.periodicStatDump(m5.ticks.fromSeconds(0.1E-3))
    bL.run()


if __name__ == "__m5_main__":
    main()