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# Copyright (c) 2012, 2014, 2019 ARM Limited
# All rights reserved.
#
# The license below extends only to copyright in the software and shall
# not be construed as granting a license to any other intellectual
# property including but not limited to intellectual property relating
# to a hardware implementation of the functionality of the software
# licensed hereunder. You may use the software subject to the license
# terms below provided that you ensure that this notice is replicated
# unmodified and in its entirety in all distributions of the software,
# modified or unmodified, in source code or in binary form.
#
# Copyright (c) 2005 The Regents of The University of Michigan
# 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
# THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
from m5.SimObject import *
from m5.params import *
from m5.proxy import *
from m5.objects.ClockedObject import ClockedObject
from m5.objects.IndexingPolicies import *
from m5.objects.ReplacementPolicies import *
class HWPProbeEvent(object):
def __init__(self, prefetcher, obj, *listOfNames):
self.obj = obj
self.prefetcher = prefetcher
self.names = listOfNames
def register(self):
if self.obj:
for name in self.names:
self.prefetcher.getCCObject().addEventProbe(
self.obj.getCCObject(), name
)
class BasePrefetcher(ClockedObject):
type = "BasePrefetcher"
abstract = True
cxx_class = "gem5::prefetch::Base"
cxx_header = "mem/cache/prefetch/base.hh"
cxx_exports = [PyBindMethod("addEventProbe"), PyBindMethod("addTLB")]
sys = Param.System(Parent.any, "System this prefetcher belongs to")
# Get the block size from the parent (system)
block_size = Param.Int(Parent.cache_line_size, "Block size in bytes")
on_miss = Param.Bool(False, "Only notify prefetcher on misses")
on_read = Param.Bool(True, "Notify prefetcher on reads")
on_write = Param.Bool(True, "Notify prefetcher on writes")
on_data = Param.Bool(True, "Notify prefetcher on data accesses")
on_inst = Param.Bool(True, "Notify prefetcher on instruction accesses")
prefetch_on_access = Param.Bool(
Parent.prefetch_on_access,
"Notify the hardware prefetcher on every access (not just misses)",
)
prefetch_on_pf_hit = Param.Bool(
Parent.prefetch_on_pf_hit,
"Notify the hardware prefetcher on hit on prefetched lines",
)
use_virtual_addresses = Param.Bool(
False, "Use virtual addresses for prefetching"
)
page_bytes = Param.MemorySize(
"4KiB", "Size of pages for virtual addresses"
)
def __init__(self, **kwargs):
super().__init__(**kwargs)
self._events = []
self._tlbs = []
def addEvent(self, newObject):
self._events.append(newObject)
# Override the normal SimObject::regProbeListeners method and
# register deferred event handlers.
def regProbeListeners(self):
for tlb in self._tlbs:
self.getCCObject().addTLB(tlb.getCCObject())
for event in self._events:
event.register()
self.getCCObject().regProbeListeners()
def listenFromProbe(self, simObj, *probeNames):
if not isinstance(simObj, SimObject):
raise TypeError("argument must be of SimObject type")
if len(probeNames) <= 0:
raise TypeError("probeNames must have at least one element")
self.addEvent(HWPProbeEvent(self, simObj, *probeNames))
def registerTLB(self, simObj):
if not isinstance(simObj, SimObject):
raise TypeError("argument must be a SimObject type")
self._tlbs.append(simObj)
class MultiPrefetcher(BasePrefetcher):
type = "MultiPrefetcher"
cxx_class = "gem5::prefetch::Multi"
cxx_header = "mem/cache/prefetch/multi.hh"
prefetchers = VectorParam.BasePrefetcher([], "Array of prefetchers")
class QueuedPrefetcher(BasePrefetcher):
type = "QueuedPrefetcher"
abstract = True
cxx_class = "gem5::prefetch::Queued"
cxx_header = "mem/cache/prefetch/queued.hh"
latency = Param.Int(1, "Latency for generated prefetches")
queue_size = Param.Int(32, "Maximum number of queued prefetches")
max_prefetch_requests_with_pending_translation = Param.Int(
32,
"Maximum number of queued prefetches that have a missing translation",
)
queue_squash = Param.Bool(True, "Squash queued prefetch on demand access")
queue_filter = Param.Bool(True, "Don't queue redundant prefetches")
cache_snoop = Param.Bool(
False, "Snoop cache to eliminate redundant request"
)
tag_prefetch = Param.Bool(
True, "Tag prefetch with PC of generating access"
)
# The throttle_control_percentage controls how many of the candidate
# addresses generated by the prefetcher will be finally turned into
# prefetch requests
# - If set to 100, all candidates can be discarded (one request
# will always be allowed to be generated)
# - Setting it to 0 will disable the throttle control, so requests are
# created for all candidates
# - If set to 60, 40% of candidates will generate a request, and the
# remaining 60% will be generated depending on the current accuracy
throttle_control_percentage = Param.Percent(
0,
"Percentage of requests \
that can be throttled depending on the accuracy of the prefetcher.",
)
class StridePrefetcherHashedSetAssociative(SetAssociative):
type = "StridePrefetcherHashedSetAssociative"
cxx_class = "gem5::prefetch::StridePrefetcherHashedSetAssociative"
cxx_header = "mem/cache/prefetch/stride.hh"
class StridePrefetcher(QueuedPrefetcher):
type = "StridePrefetcher"
cxx_class = "gem5::prefetch::Stride"
cxx_header = "mem/cache/prefetch/stride.hh"
# Do not consult stride prefetcher on instruction accesses
on_inst = False
confidence_counter_bits = Param.Unsigned(
3, "Number of bits of the confidence counter"
)
initial_confidence = Param.Unsigned(
4, "Starting confidence of new entries"
)
confidence_threshold = Param.Percent(
50, "Prefetch generation confidence threshold"
)
use_requestor_id = Param.Bool(True, "Use requestor id based history")
degree = Param.Int(4, "Number of prefetches to generate")
table_assoc = Param.Int(4, "Associativity of the PC table")
table_entries = Param.MemorySize("64", "Number of entries of the PC table")
table_indexing_policy = Param.BaseIndexingPolicy(
StridePrefetcherHashedSetAssociative(
entry_size=1, assoc=Parent.table_assoc, size=Parent.table_entries
),
"Indexing policy of the PC table",
)
table_replacement_policy = Param.BaseReplacementPolicy(
RandomRP(), "Replacement policy of the PC table"
)
class TaggedPrefetcher(QueuedPrefetcher):
type = "TaggedPrefetcher"
cxx_class = "gem5::prefetch::Tagged"
cxx_header = "mem/cache/prefetch/tagged.hh"
degree = Param.Int(2, "Number of prefetches to generate")
class IndirectMemoryPrefetcher(QueuedPrefetcher):
type = "IndirectMemoryPrefetcher"
cxx_class = "gem5::prefetch::IndirectMemory"
cxx_header = "mem/cache/prefetch/indirect_memory.hh"
pt_table_entries = Param.MemorySize(
"16", "Number of entries of the Prefetch Table"
)
pt_table_assoc = Param.Unsigned(16, "Associativity of the Prefetch Table")
pt_table_indexing_policy = Param.BaseIndexingPolicy(
SetAssociative(
entry_size=1,
assoc=Parent.pt_table_assoc,
size=Parent.pt_table_entries,
),
"Indexing policy of the pattern table",
)
pt_table_replacement_policy = Param.BaseReplacementPolicy(
LRURP(), "Replacement policy of the pattern table"
)
max_prefetch_distance = Param.Unsigned(16, "Maximum prefetch distance")
num_indirect_counter_bits = Param.Unsigned(
3, "Number of bits of the indirect counter"
)
ipd_table_entries = Param.MemorySize(
"4", "Number of entries of the Indirect Pattern Detector"
)
ipd_table_assoc = Param.Unsigned(
4, "Associativity of the Indirect Pattern Detector"
)
ipd_table_indexing_policy = Param.BaseIndexingPolicy(
SetAssociative(
entry_size=1,
assoc=Parent.ipd_table_assoc,
size=Parent.ipd_table_entries,
),
"Indexing policy of the Indirect Pattern Detector",
)
ipd_table_replacement_policy = Param.BaseReplacementPolicy(
LRURP(), "Replacement policy of the Indirect Pattern Detector"
)
shift_values = VectorParam.Int([2, 3, 4, -3], "Shift values to evaluate")
addr_array_len = Param.Unsigned(4, "Number of misses tracked")
prefetch_threshold = Param.Unsigned(
2, "Counter threshold to start the indirect prefetching"
)
stream_counter_threshold = Param.Unsigned(
4, "Counter threshold to enable the stream prefetcher"
)
streaming_distance = Param.Unsigned(
4, "Number of prefetches to generate when using the stream prefetcher"
)
class SignaturePathPrefetcher(QueuedPrefetcher):
type = "SignaturePathPrefetcher"
cxx_class = "gem5::prefetch::SignaturePath"
cxx_header = "mem/cache/prefetch/signature_path.hh"
signature_shift = Param.UInt8(
3, "Number of bits to shift when calculating a new signature"
)
signature_bits = Param.UInt16(12, "Size of the signature, in bits")
signature_table_entries = Param.MemorySize(
"1024", "Number of entries of the signature table"
)
signature_table_assoc = Param.Unsigned(
2, "Associativity of the signature table"
)
signature_table_indexing_policy = Param.BaseIndexingPolicy(
SetAssociative(
entry_size=1,
assoc=Parent.signature_table_assoc,
size=Parent.signature_table_entries,
),
"Indexing policy of the signature table",
)
signature_table_replacement_policy = Param.BaseReplacementPolicy(
LRURP(), "Replacement policy of the signature table"
)
num_counter_bits = Param.UInt8(
3, "Number of bits of the saturating counters"
)
pattern_table_entries = Param.MemorySize(
"4096", "Number of entries of the pattern table"
)
pattern_table_assoc = Param.Unsigned(
1, "Associativity of the pattern table"
)
strides_per_pattern_entry = Param.Unsigned(
4, "Number of strides stored in each pattern entry"
)
pattern_table_indexing_policy = Param.BaseIndexingPolicy(
SetAssociative(
entry_size=1,
assoc=Parent.pattern_table_assoc,
size=Parent.pattern_table_entries,
),
"Indexing policy of the pattern table",
)
pattern_table_replacement_policy = Param.BaseReplacementPolicy(
LRURP(), "Replacement policy of the pattern table"
)
prefetch_confidence_threshold = Param.Float(
0.5, "Minimum confidence to issue prefetches"
)
lookahead_confidence_threshold = Param.Float(
0.75, "Minimum confidence to continue exploring lookahead entries"
)
class SignaturePathPrefetcherV2(SignaturePathPrefetcher):
type = "SignaturePathPrefetcherV2"
cxx_class = "gem5::prefetch::SignaturePathV2"
cxx_header = "mem/cache/prefetch/signature_path_v2.hh"
signature_table_entries = "256"
signature_table_assoc = 1
pattern_table_entries = "512"
pattern_table_assoc = 1
num_counter_bits = 4
prefetch_confidence_threshold = 0.25
lookahead_confidence_threshold = 0.25
global_history_register_entries = Param.MemorySize(
"8", "Number of entries of global history register"
)
global_history_register_indexing_policy = Param.BaseIndexingPolicy(
SetAssociative(
entry_size=1,
assoc=Parent.global_history_register_entries,
size=Parent.global_history_register_entries,
),
"Indexing policy of the global history register",
)
global_history_register_replacement_policy = Param.BaseReplacementPolicy(
LRURP(), "Replacement policy of the global history register"
)
class AccessMapPatternMatching(ClockedObject):
type = "AccessMapPatternMatching"
cxx_class = "gem5::prefetch::AccessMapPatternMatching"
cxx_header = "mem/cache/prefetch/access_map_pattern_matching.hh"
block_size = Param.Unsigned(
Parent.block_size,
"Cacheline size used by the prefetcher using this object",
)
limit_stride = Param.Unsigned(
0, "Limit the strides checked up to -X/X, if 0, disable the limit"
)
start_degree = Param.Unsigned(
4, "Initial degree (Maximum number of prefetches generated"
)
hot_zone_size = Param.MemorySize("2KiB", "Memory covered by a hot zone")
access_map_table_entries = Param.MemorySize(
"256", "Number of entries in the access map table"
)
access_map_table_assoc = Param.Unsigned(
8, "Associativity of the access map table"
)
access_map_table_indexing_policy = Param.BaseIndexingPolicy(
SetAssociative(
entry_size=1,
assoc=Parent.access_map_table_assoc,
size=Parent.access_map_table_entries,
),
"Indexing policy of the access map table",
)
access_map_table_replacement_policy = Param.BaseReplacementPolicy(
LRURP(), "Replacement policy of the access map table"
)
high_coverage_threshold = Param.Float(
0.25, "A prefetch coverage factor bigger than this is considered high"
)
low_coverage_threshold = Param.Float(
0.125, "A prefetch coverage factor smaller than this is considered low"
)
high_accuracy_threshold = Param.Float(
0.5, "A prefetch accuracy factor bigger than this is considered high"
)
low_accuracy_threshold = Param.Float(
0.25, "A prefetch accuracy factor smaller than this is considered low"
)
high_cache_hit_threshold = Param.Float(
0.875, "A cache hit ratio bigger than this is considered high"
)
low_cache_hit_threshold = Param.Float(
0.75, "A cache hit ratio smaller than this is considered low"
)
epoch_cycles = Param.Cycles(256000, "Cycles in an epoch period")
offchip_memory_latency = Param.Latency(
"30ns", "Memory latency used to compute the required memory bandwidth"
)
class AMPMPrefetcher(QueuedPrefetcher):
type = "AMPMPrefetcher"
cxx_class = "gem5::prefetch::AMPM"
cxx_header = "mem/cache/prefetch/access_map_pattern_matching.hh"
ampm = Param.AccessMapPatternMatching(
AccessMapPatternMatching(), "Access Map Pattern Matching object"
)
class DeltaCorrelatingPredictionTables(SimObject):
type = "DeltaCorrelatingPredictionTables"
cxx_class = "gem5::prefetch::DeltaCorrelatingPredictionTables"
cxx_header = "mem/cache/prefetch/delta_correlating_prediction_tables.hh"
deltas_per_entry = Param.Unsigned(
20, "Number of deltas stored in each table entry"
)
delta_bits = Param.Unsigned(12, "Bits per delta")
delta_mask_bits = Param.Unsigned(
8, "Lower bits to mask when comparing deltas"
)
table_entries = Param.MemorySize("128", "Number of entries in the table")
table_assoc = Param.Unsigned(128, "Associativity of the table")
table_indexing_policy = Param.BaseIndexingPolicy(
SetAssociative(
entry_size=1, assoc=Parent.table_assoc, size=Parent.table_entries
),
"Indexing policy of the table",
)
table_replacement_policy = Param.BaseReplacementPolicy(
LRURP(), "Replacement policy of the table"
)
class DCPTPrefetcher(QueuedPrefetcher):
type = "DCPTPrefetcher"
cxx_class = "gem5::prefetch::DCPT"
cxx_header = "mem/cache/prefetch/delta_correlating_prediction_tables.hh"
dcpt = Param.DeltaCorrelatingPredictionTables(
DeltaCorrelatingPredictionTables(),
"Delta Correlating Prediction Tables object",
)
class IrregularStreamBufferPrefetcher(QueuedPrefetcher):
type = "IrregularStreamBufferPrefetcher"
cxx_class = "gem5::prefetch::IrregularStreamBuffer"
cxx_header = "mem/cache/prefetch/irregular_stream_buffer.hh"
num_counter_bits = Param.Unsigned(
2, "Number of bits of the confidence counter"
)
chunk_size = Param.Unsigned(
256, "Maximum number of addresses in a temporal stream"
)
degree = Param.Unsigned(4, "Number of prefetches to generate")
training_unit_assoc = Param.Unsigned(
128, "Associativity of the training unit"
)
training_unit_entries = Param.MemorySize(
"128", "Number of entries of the training unit"
)
training_unit_indexing_policy = Param.BaseIndexingPolicy(
SetAssociative(
entry_size=1,
assoc=Parent.training_unit_assoc,
size=Parent.training_unit_entries,
),
"Indexing policy of the training unit",
)
training_unit_replacement_policy = Param.BaseReplacementPolicy(
LRURP(), "Replacement policy of the training unit"
)
prefetch_candidates_per_entry = Param.Unsigned(
16, "Number of prefetch candidates stored in a SP-AMC entry"
)
address_map_cache_assoc = Param.Unsigned(
128, "Associativity of the PS/SP AMCs"
)
address_map_cache_entries = Param.MemorySize(
"128", "Number of entries of the PS/SP AMCs"
)
ps_address_map_cache_indexing_policy = Param.BaseIndexingPolicy(
SetAssociative(
entry_size=1,
assoc=Parent.address_map_cache_assoc,
size=Parent.address_map_cache_entries,
),
"Indexing policy of the Physical-to-Structural Address Map Cache",
)
ps_address_map_cache_replacement_policy = Param.BaseReplacementPolicy(
LRURP(),
"Replacement policy of the Physical-to-Structural Address Map Cache",
)
sp_address_map_cache_indexing_policy = Param.BaseIndexingPolicy(
SetAssociative(
entry_size=1,
assoc=Parent.address_map_cache_assoc,
size=Parent.address_map_cache_entries,
),
"Indexing policy of the Structural-to-Physical Address Mao Cache",
)
sp_address_map_cache_replacement_policy = Param.BaseReplacementPolicy(
LRURP(),
"Replacement policy of the Structural-to-Physical Address Map Cache",
)
class SlimAccessMapPatternMatching(AccessMapPatternMatching):
start_degree = 2
limit_stride = 4
class SlimDeltaCorrelatingPredictionTables(DeltaCorrelatingPredictionTables):
table_entries = "256"
table_assoc = 256
deltas_per_entry = 9
class SlimAMPMPrefetcher(QueuedPrefetcher):
type = "SlimAMPMPrefetcher"
cxx_class = "gem5::prefetch::SlimAMPM"
cxx_header = "mem/cache/prefetch/slim_ampm.hh"
ampm = Param.AccessMapPatternMatching(
SlimAccessMapPatternMatching(), "Access Map Pattern Matching object"
)
dcpt = Param.DeltaCorrelatingPredictionTables(
SlimDeltaCorrelatingPredictionTables(),
"Delta Correlating Prediction Tables object",
)
class BOPPrefetcher(QueuedPrefetcher):
type = "BOPPrefetcher"
cxx_class = "gem5::prefetch::BOP"
cxx_header = "mem/cache/prefetch/bop.hh"
score_max = Param.Unsigned(31, "Max. score to update the best offset")
round_max = Param.Unsigned(100, "Max. round to update the best offset")
bad_score = Param.Unsigned(10, "Score at which the HWP is disabled")
rr_size = Param.Unsigned(64, "Number of entries of each RR bank")
tag_bits = Param.Unsigned(12, "Bits used to store the tag")
offset_list_size = Param.Unsigned(
46, "Number of entries in the offsets list"
)
negative_offsets_enable = Param.Bool(
True,
"Initialize the offsets list also with negative values \
(i.e. the table will have half of the entries with positive \
offsets and the other half with negative ones)",
)
delay_queue_enable = Param.Bool(True, "Enable the delay queue")
delay_queue_size = Param.Unsigned(
15, "Number of entries in the delay queue"
)
delay_queue_cycles = Param.Cycles(
60,
"Cycles to delay a write in the left RR table from the delay \
queue",
)
class SBOOEPrefetcher(QueuedPrefetcher):
type = "SBOOEPrefetcher"
cxx_class = "gem5::prefetch::SBOOE"
cxx_header = "mem/cache/prefetch/sbooe.hh"
latency_buffer_size = Param.Int(32, "Entries in the latency buffer")
sequential_prefetchers = Param.Int(9, "Number of sequential prefetchers")
sandbox_entries = Param.Int(1024, "Size of the address buffer")
score_threshold_pct = Param.Percent(
25,
"Min. threshold to issue a \
prefetch. The value is the percentage of sandbox entries to use",
)
class STeMSPrefetcher(QueuedPrefetcher):
type = "STeMSPrefetcher"
cxx_class = "gem5::prefetch::STeMS"
cxx_header = "mem/cache/prefetch/spatio_temporal_memory_streaming.hh"
spatial_region_size = Param.MemorySize(
"2KiB", "Memory covered by a hot zone"
)
active_generation_table_entries = Param.MemorySize(
"64", "Number of entries in the active generation table"
)
active_generation_table_assoc = Param.Unsigned(
64, "Associativity of the active generation table"
)
active_generation_table_indexing_policy = Param.BaseIndexingPolicy(
SetAssociative(
entry_size=1,
assoc=Parent.active_generation_table_assoc,
size=Parent.active_generation_table_entries,
),
"Indexing policy of the active generation table",
)
active_generation_table_replacement_policy = Param.BaseReplacementPolicy(
LRURP(), "Replacement policy of the active generation table"
)
pattern_sequence_table_entries = Param.MemorySize(
"16384", "Number of entries in the pattern sequence table"
)
pattern_sequence_table_assoc = Param.Unsigned(
16384, "Associativity of the pattern sequence table"
)
pattern_sequence_table_indexing_policy = Param.BaseIndexingPolicy(
SetAssociative(
entry_size=1,
assoc=Parent.pattern_sequence_table_assoc,
size=Parent.pattern_sequence_table_entries,
),
"Indexing policy of the pattern sequence table",
)
pattern_sequence_table_replacement_policy = Param.BaseReplacementPolicy(
LRURP(), "Replacement policy of the pattern sequence table"
)
region_miss_order_buffer_entries = Param.Unsigned(
131072, "Number of entries of the Region Miss Order Buffer"
)
add_duplicate_entries_to_rmob = Param.Bool(
True, "Add duplicate entries to RMOB"
)
reconstruction_entries = Param.Unsigned(
256, "Number of reconstruction entries"
)
class HWPProbeEventRetiredInsts(HWPProbeEvent):
def register(self):
if self.obj:
for name in self.names:
self.prefetcher.getCCObject().addEventProbeRetiredInsts(
self.obj.getCCObject(), name
)
class PIFPrefetcher(QueuedPrefetcher):
type = "PIFPrefetcher"
cxx_class = "gem5::prefetch::PIF"
cxx_header = "mem/cache/prefetch/pif.hh"
cxx_exports = [PyBindMethod("addEventProbeRetiredInsts")]
prec_spatial_region_bits = Param.Unsigned(
2, "Number of preceding addresses in the spatial region"
)
succ_spatial_region_bits = Param.Unsigned(
8, "Number of subsequent addresses in the spatial region"
)
compactor_entries = Param.Unsigned(2, "Entries in the temp. compactor")
stream_address_buffer_entries = Param.Unsigned(7, "Entries in the SAB")
history_buffer_size = Param.Unsigned(16, "Entries in the history buffer")
index_entries = Param.MemorySize("64", "Number of entries in the index")
index_assoc = Param.Unsigned(64, "Associativity of the index")
index_indexing_policy = Param.BaseIndexingPolicy(
SetAssociative(
entry_size=1, assoc=Parent.index_assoc, size=Parent.index_entries
),
"Indexing policy of the index",
)
index_replacement_policy = Param.BaseReplacementPolicy(
LRURP(), "Replacement policy of the index"
)
def listenFromProbeRetiredInstructions(self, simObj):
if not isinstance(simObj, SimObject):
raise TypeError("argument must be of SimObject type")
self.addEvent(
HWPProbeEventRetiredInsts(self, simObj, "RetiredInstsPC")
)