# Copyright (c) 2012, 2014, 2019 ARM Limited
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#
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# 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
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# modified or unmodified, in source code or in binary form.
#
# Copyright (c) 2005 The Regents of The University of Michigan
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# 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
# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
#
# Authors: Ron Dreslinski
#          Mitch Hayenga

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 *

from m5.objects.Perceptron import PerceptronUnit


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_header = "mem/cache/prefetch/base.hh"
    cxx_exports = [
        PyBindMethod("addEventProbe"),
    ]
    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,
    prefetch_on_access = Param.Bool(True,
        "Notify the hardware prefetcher on every access (not just misses)")
    use_virtual_addresses = Param.Bool(False,
        "Use virtual addresses for prefetching")

    perceptron_unit = Param.PerceptronUnit(NULL,"Perceptron unit attached to cache")

    _events = []
    def addEvent(self, newObject):
        self._events.append(newObject)

    # Override the normal SimObject::regProbeListeners method and
    # register deferred event handlers.
    def regProbeListeners(self):
        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))

class MultiPrefetcher(BasePrefetcher):
    type = 'MultiPrefetcher'
    cxx_class = 'MultiPrefetcher'
    cxx_header = 'mem/cache/prefetch/multi.hh'

    prefetchers = VectorParam.BasePrefetcher([], "Array of prefetchers")

class QueuedPrefetcher(BasePrefetcher):
    type = "QueuedPrefetcher"
    abstract = True
    cxx_class = "QueuedPrefetcher"
    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")
    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")

class StridePrefetcher(QueuedPrefetcher):
    type = 'StridePrefetcher'
    cxx_class = 'StridePrefetcher'
    cxx_header = "mem/cache/prefetch/stride.hh"

    # Do not consult stride prefetcher on instruction accesses
    on_inst = False

    max_conf = Param.Int(7, "Maximum confidence level")
    thresh_conf = Param.Int(4, "Threshold confidence level")
    min_conf = Param.Int(0, "Minimum confidence level")
    start_conf = Param.Int(4, "Starting confidence for new entries")

    table_sets = Param.Int(16, "Number of sets in PC lookup table")
    table_assoc = Param.Int(4, "Associativity of PC lookup table")
    use_master_id = Param.Bool(True, "Use master id based history")

    degree = Param.Int(4, "Number of prefetches to generate")

    # Get replacement policy
    replacement_policy = Param.BaseReplacementPolicy(RandomRP(),
        "Replacement policy")

class TaggedPrefetcher(QueuedPrefetcher):
    type = 'TaggedPrefetcher'
    cxx_class = 'TaggedPrefetcher'
    cxx_header = "mem/cache/prefetch/tagged.hh"

    degree = Param.Int(2, "Number of prefetches to generate")

class IndirectMemoryPrefetcher(QueuedPrefetcher):
    type = 'IndirectMemoryPrefetcher'
    cxx_class = 'IndirectMemoryPrefetcher'
    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 = 'SignaturePathPrefetcher'
    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 = 'SignaturePathPrefetcherV2'
    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 = '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("2kB", "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 = 'AMPMPrefetcher'
    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 = '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 = 'DCPTPrefetcher'
    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 = "IrregularStreamBufferPrefetcher"
    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 = 'SlimAMPMPrefetcher'
    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 = "BOPPrefetcher"
    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 = 'SBOOEPrefetcher'
    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 = "STeMSPrefetcher"
    cxx_header = "mem/cache/prefetch/spatio_temporal_memory_streaming.hh"

    spatial_region_size = Param.MemorySize("2kB",
        "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")
    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 = 'PIFPrefetcher'
    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"))


class PerceptronPrefetcher(QueuedPrefetcher):
    type = 'PerceptronPrefetcher'
    cxx_class = "PerceptronPrefetcher"
    cxx_header = "mem/cache/prefetch/perceptron_pf.hh"

    # Do not consult stride prefetcher on instruction accesses
    """
    on_inst = False

    max_conf = Param.Int(7, "Maximum confidence level")
    thresh_conf = Param.Int(4, "Threshold confidence level")
    min_conf = Param.Int(0, "Minimum confidence level")
    start_conf = Param.Int(4, "Starting confidence for new entries")

    table_sets = Param.Int(16, "Number of sets in PC lookup table")
    table_assoc = Param.Int(4, "Associativity of PC lookup table")
    use_master_id = Param.Bool(True, "Use master id based history")

    degree = Param.Int(4, "Number of prefetches to generate")

    # Get replacement policy
    replacement_policy = Param.BaseReplacementPolicy(RandomRP(),
        "Replacement policy")
    """

#class PerceptronUnit(ClockedObject):
#class PerceptronUnit(SimObject):
##class PerceptronUnit(QueuedPrefetcher):
#    type = 'PerceptronUnit'
#    cxx_class = "PerceptronUnit"
#    cxx_header = "mem/cache/prefetch/perceptron_unit.hh"
#
#    reject_all = Param.Bool(False, "Reject all prefetch addresses.")
#    accept_all = Param.Bool(False, "Accept all prefetch addresses.")
#    exponential_size = Param.Int(32, "Table size for Perceptrons")
#    perceptron_size = Param.Int(20, "Feature dimensions (size of each erceptron)")
#    pf_timeout = Param.Int(64,
#        "Number of cache accesses (hits or misses) before a prefetch is considered a timeout.")

