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# Copyright (c) 2021 The Regents of the University of California
# All rights reserved.
#
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# modification, are permitted provided that the following conditions are
# met: redistributions of source code must retain the above copyright
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# redistributions in binary form must reproduce the above copyright
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# neither the name of the copyright holders nor the names of its
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#
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from typing import Optional
from m5.objects import Addr
from ...utils.override import overrides
from ..boards.mem_mode import MemMode
from .abstract_processor import AbstractProcessor
from ..boards.abstract_board import AbstractBoard
from .gups_generator_core import GUPSGeneratorCore
class GUPSGenerator(AbstractProcessor):
def __init__(
self,
start_addr: Addr,
mem_size: str,
update_limit: int = 0,
clk_freq: Optional[str] = None,
):
"""The GUPSGenerator class
This class defines the interface for a single core GUPSGenerator, this
generator could be used in place of a processor. For multicore versions
of this generator look at GUPSGeneraorEP (EP stands for embarrassingly
parallel) and GUPSGeneratorPAR (PAR stands for parallel). The two
variants are specified by the HPCC benchmark.
:param start_addr: The start address for allocating the update table.
:param mem_size: The size of memory to allocate for the update table.
Should be a power of 2.
:param update_limit: The number of updates to do before terminating
simulation. Pass zero to run the benchmark to completion (The amount of
time it takes to simulate depends on )
"""
super().__init__(
cores=[
GUPSGeneratorCore(
start_addr=start_addr,
mem_size=mem_size,
update_limit=update_limit,
clk_freq=clk_freq,
)
]
)
@overrides(AbstractProcessor)
def incorporate_processor(self, board: AbstractBoard) -> None:
board.set_mem_mode(MemMode.TIMING)
def start_traffic(self):
# This function should be implemented so that GUPSGenerator could be
# used in the same scripts that use LinearGenerator, RandomGenerator,
# and ComplexGenrator
pass