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# Copyright (c) 2021 The Regents of the University of California
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met: redistributions of source code must retain the above copyright
# notice, this list of conditions and the following disclaimer;
# redistributions in binary form must reproduce the above copyright
# notice, this list of conditions and the following disclaimer in the
# documentation and/or other materials provided with the distribution;
# neither the name of the copyright holders nor the names of its
# contributors may be used to endorse or promote products derived from
# this software without specific prior written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
# "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
# LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
# A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
# OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
# SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
# LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
# DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
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# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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 GUPSGeneratorPAR(AbstractProcessor):
def __init__(
self,
num_cores: int,
start_addr: Addr,
mem_size: str,
update_limit: int = 0,
clk_freq: Optional[str] = None,
):
"""The GUPSGeneratorPAR class
This class defines the interface for multi core GUPSGenerator, this
generator could be used in place of a processor. In terms of
benchmarking this generator implements the parallel (3rd)
variant of the GUPS benchmark as specified by HPCC website.
: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=self._create_cores(
num_cores=num_cores,
start_addr=start_addr,
mem_size=mem_size,
update_limit=update_limit,
clk_freq=clk_freq,
)
)
def _create_cores(
self,
num_cores: int,
start_addr: Addr,
mem_size: str,
update_limit: int,
clk_freq: Optional[str],
):
"""
Helper function to create cores.
"""
return [
GUPSGeneratorCore(
start_addr=start_addr,
mem_size=mem_size,
update_limit=update_limit / num_cores,
clk_freq=clk_freq,
)
for _ in range(num_cores)
]
@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 GUPSGeneratorPAR could be
# used in the same scripts that use LinearGenerator, RandomGenerator,
# and ComplexGenrator
pass