Github_Repos/cvw
1
0
Fork 1
mirror of https://github.com/openhwgroup/cvw synced 2025-02-11 06:05:49 +00:00
Code Issues Packages Projects Releases Wiki Activity

Merge pull request #700 from ross144/main

Browse Source 
Changed D suffix to Delay in ebufsmarb.
This commit is contained in:
David Harris 2024-03-29 17:32:34 -07:00 committed by GitHub
commit bec35ecd33
No known key found for this signature in database
GPG Key ID: B5690EEEBB952194
5 changed files with 116 additions and 47 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

11
bin/CModelBranchAccuracy.sh
View File

@ -31,7 +31,7 @@
Directory="$1" Directory="$1"
Files="$1/*.log" Files="$1/*.log"
for Pred in "bimodal" "gshare" for Pred in "bimodal" "gshare" "local4" "local8" "local10"
do do
for Size in $(seq 6 2 16) for Size in $(seq 6 2 16)
do do
@ -39,6 +39,15 @@ do
SizeString="$Size $Size 18 1" SizeString="$Size $Size 18 1"
elif [ $Pred = "bimodal" ]; then elif [ $Pred = "bimodal" ]; then
SizeString="$Size 18 1" SizeString="$Size 18 1"
elif [ $Pred = "local4" ]; then
SizeString="$Size 4 18 1"
Pred="yehpatt"
elif [ $Pred = "local8" ]; then
SizeString="$Size 8 18 1"
Pred="yehpatt"
elif [ $Pred = "local10" ]; then
SizeString="$Size 10 18 1"
Pred="yehpatt"
fi fi
Product=1.0 Product=1.0

84
bin/parseHPMC.py
View File

@ -34,12 +34,12 @@ import numpy as np
import argparse import argparse
RefDataBP = [('twobitCModel6', 'twobitCModel', 64, 10.0060297551637), ('twobitCModel8', 'twobitCModel', 256, 8.4320392215602), ('twobitCModel10', 'twobitCModel', 1024, 7.29493318805151), RefDataBP = [('twobitCModel6', 'twobitCModel', 64, 128, 10.0060297551637), ('twobitCModel8', 'twobitCModel', 256, 512, 8.4320392215602), ('twobitCModel10', 'twobitCModel', 1024, 2048, 7.29493318805151),
('twobitCModel12', 'twobitCModel', 4096, 6.84739616147794), ('twobitCModel14', 'twobitCModel', 16384, 5.68432926870082), ('twobitCModel16', 'twobitCModel', 65536, 5.68432926870082), ('twobitCModel12', 'twobitCModel', 4096, 8192, 6.84739616147794), ('twobitCModel14', 'twobitCModel', 16384, 32768, 5.68432926870082), ('twobitCModel16', 'twobitCModel', 65536, 131072, 5.68432926870082),
('gshareCModel6', 'gshareCModel', 64, 11.4737703417701), ('gshareCModel8', 'gshareCModel', 256, 8.52341470761974), ('gshareCModel10', 'gshareCModel', 1024, 6.32975690693015), ('gshareCModel6', 'gshareCModel', 64, 128, 11.4737703417701), ('gshareCModel8', 'gshareCModel', 256, 512, 8.52341470761974), ('gshareCModel10', 'gshareCModel', 1024, 2048, 6.32975690693015),
('gshareCModel12', 'gshareCModel', 4096, 4.55424632377659), ('gshareCModel14', 'gshareCModel', 16384, 3.54251547725509), ('gshareCModel16', 'gshareCModel', 65536, 1.90424999467293)] ('gshareCModel12', 'gshareCModel', 4096, 8192, 4.55424632377659), ('gshareCModel14', 'gshareCModel', 16384, 32768, 3.54251547725509), ('gshareCModel16', 'gshareCModel', 65536, 131072, 1.90424999467293)]
RefDataBTB = [('BTBCModel6', 'BTBCModel', 64, 1.51480272475844), ('BTBCModel8', 'BTBCModel', 256, 0.209057900418965), ('BTBCModel10', 'BTBCModel', 1024, 0.0117345454469572), RefDataBTB = [('BTBCModel6', 'BTBCModel', 64, 128, 1.51480272475844), ('BTBCModel8', 'BTBCModel', 256, 512, 0.209057900418965), ('BTBCModel10', 'BTBCModel', 1024, 2048, 0.0117345454469572),
('BTBCModel12', 'BTBCModel', 4096, 0.00125540990359826), ('BTBCModel14', 'BTBCModel', 16384, 0.000732471628510962), ('BTBCModel16', 'BTBCModel', 65536, 0.000732471628510962)] ('BTBCModel12', 'BTBCModel', 4096, 8192, 0.00125540990359826), ('BTBCModel14', 'BTBCModel', 16384, 32768, 0.000732471628510962), ('BTBCModel16', 'BTBCModel', 65536, 131072, 0.000732471628510962)]
def ParseBranchListFile(path): def ParseBranchListFile(path):
'''Take the path to the list of Questa Sim log files containing the performance counters outputs. File '''Take the path to the list of Questa Sim log files containing the performance counters outputs. File
@ -120,25 +120,45 @@ def ComputeGeometricAverage(benchmarks):
benchmarks.append(('Mean', '', AllAve)) benchmarks.append(('Mean', '', AllAve))
def GenerateName(predictorType, predictorParams): def GenerateName(predictorType, predictorParams):
if(predictorType == 'gshare' or predictorType == 'twobit' or predictorType == 'btb' or predictorType == 'class' or predictorType == 'ras'): if(predictorType == 'gshare' or predictorType == 'twobit' or predictorType == 'btb' or predictorType == 'class' or predictorType == 'ras' or predictorType == 'global'):
return predictorType + predictorParams[0] return predictorType + predictorParams[0]
elif(predictorParams == 'local'): elif(predictorType == 'local'):
return predictorType + predictorParams[0] + '_' + predictorParams[1] return predictorType + predictorParams[0] + '_' + predictorParams[1]
else: else:
print(f'Error unsupported predictor type {predictorType}') print(f'Error unsupported predictor type {predictorType}')
sys.exit(-1) sys.exit(-1)
def GenerateDisplayName(predictorType, predictorParams):
if(predictorType == 'gshare' or predictorType == 'twobit' or predictorType == 'btb' or predictorType == 'class' or predictorType == 'ras' or predictorType == 'global'):
return predictorType
elif(predictorType == 'local'):
return predictorType + predictorParams[0]
else:
print(f'Error unsupported predictor type {predictorType}')
sys.exit(-1)
def ComputePredNumEntries(predictorType, predictorParams): def ComputePredNumEntries(predictorType, predictorParams):
if(predictorType == 'gshare' or predictorType == 'twobit' or predictorType == 'btb' or predictorType == 'class'): if(predictorType == 'gshare' or predictorType == 'twobit' or predictorType == 'btb' or predictorType == 'class' or predictorType == 'global'):
return 2**int(predictorParams[0]) return 2**int(predictorParams[0])
elif(predictorType == 'ras'): elif(predictorType == 'ras'):
return int(predictorParams[0]) return int(predictorParams[0])
elif(predictorParams == 'local'): elif(predictorType == 'local'):
return 2**int(predictorParams[0]) * int(predictorParams[1]) + 2**int(predictorParams[1]) return 2**int(predictorParams[0]) * int(predictorParams[1]) + 2**int(predictorParams[1])
else: else:
print(f'Error unsupported predictor type {predictorType}') print(f'Error unsupported predictor type {predictorType}')
sys.exit(-1) sys.exit(-1)
def ComputePredSize(predictorType, predictorParams):
if(predictorType == 'gshare' or predictorType == 'twobit' or predictorType == 'btb' or predictorType == 'class' or predictorType == 'global'):
return 2*2**int(predictorParams[0])
elif(predictorType == 'ras'):
return int(predictorParams[0])
elif(predictorType == 'local'):
return 2**int(predictorParams[0]) * int(predictorParams[1]) + 2*2**int(predictorParams[1])
else:
print(f'Error unsupported predictor type {predictorType}')
sys.exit(-1)
def BuildDataBase(predictorLogs): def BuildDataBase(predictorLogs):
# Once done with the following loop, performanceCounterList will contain the predictor type and size along with the # Once done with the following loop, performanceCounterList will contain the predictor type and size along with the
# raw performance counter data and the processed data on a per benchmark basis. It also includes the geometric mean. # raw performance counter data and the processed data on a per benchmark basis. It also includes the geometric mean.
@ -164,16 +184,16 @@ def BuildDataBase(predictorLogs):
ComputeStats(performanceCounters) ComputeStats(performanceCounters)
ComputeGeometricAverage(performanceCounters) ComputeGeometricAverage(performanceCounters)
#print(performanceCounters) #print(performanceCounters)
performanceCounterList.append([GenerateName(predictorType, predictorParams), predictorType, performanceCounters, ComputePredNumEntries(predictorType, predictorParams)]) performanceCounterList.append([GenerateName(predictorType, predictorParams), GenerateDisplayName(predictorType, predictorParams), performanceCounters, ComputePredNumEntries(predictorType, predictorParams), ComputePredSize(predictorType, predictorParams)])
return performanceCounterList return performanceCounterList
def ReorderDataBase(performanceCounterList): def ReorderDataBase(performanceCounterList):
# Reorder the data so the benchmark name comes first, then the branch predictor configuration # Reorder the data so the benchmark name comes first, then the branch predictor configuration
benchmarkFirstList = [] benchmarkFirstList = []
for (predictorName, predictorPrefixName, benchmarks, entries) in performanceCounterList: for (predictorName, predictorPrefixName, benchmarks, entries, size) in performanceCounterList:
for benchmark in benchmarks: for benchmark in benchmarks:
(nameString, opt, dataDict) = benchmark (nameString, opt, dataDict) = benchmark
benchmarkFirstList.append((nameString, opt, predictorName, predictorPrefixName, entries, dataDict)) benchmarkFirstList.append((nameString, opt, predictorName, predictorPrefixName, entries, size, dataDict))
return benchmarkFirstList return benchmarkFirstList
def ExtractSelectedData(benchmarkFirstList): def ExtractSelectedData(benchmarkFirstList):
@ -181,7 +201,8 @@ def ExtractSelectedData(benchmarkFirstList):
# namestring + opt, config # namestring + opt, config
benchmarkDict = { } benchmarkDict = { }
for benchmark in benchmarkFirstList: for benchmark in benchmarkFirstList:
(name, opt, config, prefixName, entries, dataDict) = benchmark (name, opt, config, prefixName, entries, size, dataDict) = benchmark
#print(f'config = {config}, prefixName = {prefixName} entries = {entries}')
# use this code to distinguish speed opt and size opt. # use this code to distinguish speed opt and size opt.
#if opt == 'bd_speedopt_speed': NewName = name+'Sp' #if opt == 'bd_speedopt_speed': NewName = name+'Sp'
#elif opt == 'bd_sizeopt_speed': NewName = name+'Sz' #elif opt == 'bd_sizeopt_speed': NewName = name+'Sz'
@ -190,18 +211,19 @@ def ExtractSelectedData(benchmarkFirstList):
#print(NewName) #print(NewName)
#NewName = name+'_'+opt #NewName = name+'_'+opt
if NewName in benchmarkDict: if NewName in benchmarkDict:
benchmarkDict[NewName].append((config, prefixName, entries, dataDict[ReportPredictorType])) benchmarkDict[NewName].append((config, prefixName, entries, size, dataDict[ReportPredictorType]))
else: else:
benchmarkDict[NewName] = [(config, prefixName, entries, dataDict[ReportPredictorType])] benchmarkDict[NewName] = [(config, prefixName, entries, size, dataDict[ReportPredictorType])]
return benchmarkDict return benchmarkDict
def ReportAsTable(benchmarkDict): def ReportAsTable(benchmarkDict):
refLine = benchmarkDict['Mean'] refLine = benchmarkDict['Mean']
FirstLine = [] FirstLine = []
SecondLine = [] SecondLine = []
for (name, typ, size, val) in refLine: for Elements in refLine:
(name, typ, size, entries, val) = Elements
FirstLine.append(name) FirstLine.append(name)
SecondLine.append(size) SecondLine.append(entries if not args.size else size)
sys.stdout.write('benchmark\t\t') sys.stdout.write('benchmark\t\t')
for name in FirstLine: for name in FirstLine:
@ -216,7 +238,7 @@ def ReportAsTable(benchmarkDict):
if(args.summary): if(args.summary):
sys.stdout.write('Mean\t\t\t') sys.stdout.write('Mean\t\t\t')
for (name, typ, size, val) in refLine: for (name, typ, size, entries, val) in refLine:
sys.stdout.write('%0.2f\t\t' % (val if not args.invert else 100 - val)) sys.stdout.write('%0.2f\t\t' % (val if not args.invert else 100 - val))
sys.stdout.write('\n') sys.stdout.write('\n')
@ -226,7 +248,7 @@ def ReportAsTable(benchmarkDict):
if(length < 8): sys.stdout.write('%s\t\t\t' % benchmark) if(length < 8): sys.stdout.write('%s\t\t\t' % benchmark)
elif(length < 16): sys.stdout.write('%s\t\t' % benchmark) elif(length < 16): sys.stdout.write('%s\t\t' % benchmark)
else: sys.stdout.write('%s\t' % benchmark) else: sys.stdout.write('%s\t' % benchmark)
for (name, typ, size, val) in benchmarkDict[benchmark]: for (name, typ, entries, size, val) in benchmarkDict[benchmark]:
sys.stdout.write('%0.2f\t\t' % (val if not args.invert else 100 -val)) sys.stdout.write('%0.2f\t\t' % (val if not args.invert else 100 -val))
sys.stdout.write('\n') sys.stdout.write('\n')
@ -234,14 +256,14 @@ def ReportAsText(benchmarkDict):
if(args.summary): if(args.summary):
mean = benchmarkDict['Mean'] mean = benchmarkDict['Mean']
print('Mean') print('Mean')
for (name, typ, size, val) in mean: for (name, typ, entries. size, val) in mean:
sys.stdout.write('%s %s %0.2f\n' % (name, size, val if not args.invert else 100 - val)) sys.stdout.write('%s %s %0.2f\n' % (name, entries if not args.size else size, val if not args.invert else 100 - val))
if(not args.summary): if(not args.summary):
for benchmark in benchmarkDict: for benchmark in benchmarkDict:
print(benchmark) print(benchmark)
for (name, type, size, val) in benchmarkDict[benchmark]: for (name, type, entries, size, val) in benchmarkDict[benchmark]:
sys.stdout.write('%s %s %0.2f\n' % (name, size, val if not args.invert else 100 - val)) sys.stdout.write('%s %s %0.2f\n' % (name, entries if not args.size else size, val if not args.invert else 100 - val))
def Inversion(lst): def Inversion(lst):
return [x if not args.invert else 100 - x for x in lst] return [x if not args.invert else 100 - x for x in lst]
@ -306,11 +328,11 @@ def ReportAsGraph(benchmarkDict, bar, FileName):
# branch predictors with various parameterizations # branch predictors with various parameterizations
# group the parameterizations by the common typ. # group the parameterizations by the common typ.
sequencies = {} sequencies = {}
for (name, typ, size, value) in benchmarkDict['Mean']: for (name, typ, entries, size, value) in benchmarkDict['Mean']:
if not typ in sequencies: if not typ in sequencies:
sequencies[typ] = [(size, value)] sequencies[typ] = [(entries if not args.size else int(size/8), value)]
else: else:
sequencies[typ].append((size,value)) sequencies[typ].append((entries if not args.size else int(size/8) ,value))
# then graph the common typ as a single line+scatter plot # then graph the common typ as a single line+scatter plot
# finally repeat for all typs of branch predictors and overlay # finally repeat for all typs of branch predictors and overlay
fig, axes = plt.subplots() fig, axes = plt.subplots()
@ -327,7 +349,8 @@ def ReportAsGraph(benchmarkDict, bar, FileName):
axes.legend(loc='upper left') axes.legend(loc='upper left')
axes.set_xscale("log") axes.set_xscale("log")
axes.set_ylabel('Prediction Accuracy') axes.set_ylabel('Prediction Accuracy')
axes.set_xlabel('Entries') Xlabel = 'Entries' if not args.size else 'Size (bytes)'
axes.set_xlabel(Xlabel)
axes.set_xticks(xdata) axes.set_xticks(xdata)
axes.set_xticklabels(xdata) axes.set_xticklabels(xdata)
axes.grid(color='b', alpha=0.5, linestyle='dashed', linewidth=0.5) axes.grid(color='b', alpha=0.5, linestyle='dashed', linewidth=0.5)
@ -368,7 +391,7 @@ def ReportAsGraph(benchmarkDict, bar, FileName):
for benchmarkName in benchmarkDict: for benchmarkName in benchmarkDict:
currBenchmark = benchmarkDict[benchmarkName] currBenchmark = benchmarkDict[benchmarkName]
xlabelList.append(benchmarkName) xlabelList.append(benchmarkName)
for (name, typ, size, value) in currBenchmark: for (name, typ, entries, size, value) in currBenchmark:
if(name not in seriesDict): if(name not in seriesDict):
seriesDict[name] = [value] seriesDict[name] = [value]
else: else:
@ -381,7 +404,7 @@ def ReportAsGraph(benchmarkDict, bar, FileName):
for benchmarkName in benchmarkDict: for benchmarkName in benchmarkDict:
currBenchmark = benchmarkDict[benchmarkName] currBenchmark = benchmarkDict[benchmarkName]
xlabelListBig.append(benchmarkName) xlabelListBig.append(benchmarkName)
for (name, typ, size, value) in currBenchmark: for (name, typ, entries, size, value) in currBenchmark:
if(name not in seriesDictBig): if(name not in seriesDictBig):
seriesDictBig[name] = [value] seriesDictBig[name] = [value]
else: else:
@ -410,6 +433,7 @@ parser.add_argument('-s', '--summary', action='store_const', help='Show only the
parser.add_argument('-b', '--bar', action='store_const', help='Plot graphs.', default=False, const=True) parser.add_argument('-b', '--bar', action='store_const', help='Plot graphs.', default=False, const=True)
parser.add_argument('-g', '--reference', action='store_const', help='Include the golden reference model from branch-predictor-simulator. Data stored statically at the top of %(prog)s. If you need to regenreate use CModelBranchAcurracy.sh', default=False, const=True) parser.add_argument('-g', '--reference', action='store_const', help='Include the golden reference model from branch-predictor-simulator. Data stored statically at the top of %(prog)s. If you need to regenreate use CModelBranchAcurracy.sh', default=False, const=True)
parser.add_argument('-i', '--invert', action='store_const', help='Invert metric. Example Branch miss prediction becomes prediction accuracy. 100 - miss rate', default=False, const=True) parser.add_argument('-i', '--invert', action='store_const', help='Invert metric. Example Branch miss prediction becomes prediction accuracy. 100 - miss rate', default=False, const=True)
parser.add_argument('--size', action='store_const', help='Display x-axis as size in bits rather than number of table entries', default=False, const=True)
displayMode = parser.add_mutually_exclusive_group() displayMode = parser.add_mutually_exclusive_group()
displayMode.add_argument('--text', action='store_const', help='Display in text format only.', default=False, const=True) displayMode.add_argument('--text', action='store_const', help='Display in text format only.', default=False, const=True)

12
sim/bp-results/branch-list-gshare-local8.txt Normal file
View File

@ -0,0 +1,12 @@
../logs/rv32gc_gshare6.log gshare 6
../logs/rv32gc_gshare8.log gshare 8
../logs/rv32gc_gshare10.log gshare 10
../logs/rv32gc_gshare12.log gshare 12
../logs/rv32gc_gshare14.log gshare 14
../logs/rv32gc_gshare16.log gshare 16
../logs/rv32gc_8local_basic6.log local 8 6
../logs/rv32gc_8local_basic8.log local 8 8
../logs/rv32gc_8local_basic10.log local 8 10
../logs/rv32gc_8local_basic12.log local 8 12
../logs/rv32gc_8local_basic14.log local 8 14
../logs/rv32gc_8local_basic16.log local 8 16

48
sim/bp-results/branch-list.txt
View File

@ -1,12 +1,36 @@
../logs/bpred_GSHARE_6_16_10_0_rv32gc_embench.log gshare 6 ../logs/rv32gc_gshare6.log gshare 6
../logs/bpred_GSHARE_8_16_10_0_rv32gc_embench.log gshare 8 ../logs/rv32gc_gshare8.log gshare 8
../logs/bpred_GSHARE_10_16_10_0_rv32gc_embench.log gshare 10 ../logs/rv32gc_gshare10.log gshare 10
../logs/bpred_GSHARE_12_16_10_0_rv32gc_embench.log gshare 12 ../logs/rv32gc_gshare12.log gshare 12
../logs/bpred_GSHARE_14_16_10_0_rv32gc_embench.log gshare 14 ../logs/rv32gc_gshare14.log gshare 14
../logs/bpred_GSHARE_16_16_10_0_rv32gc_embench.log gshare 16 ../logs/rv32gc_gshare16.log gshare 16
../logs/bpred_TWOBIT_6_16_10_0_rv32gc_embench.log twobit 6 ../logs/rv32gc_twobit6.log twobit 6
../logs/bpred_TWOBIT_8_16_10_0_rv32gc_embench.log twobit 8 ../logs/rv32gc_twobit8.log twobit 8
../logs/bpred_TWOBIT_10_16_10_0_rv32gc_embench.log twobit 10 ../logs/rv32gc_twobit10.log twobit 10
../logs/bpred_TWOBIT_12_16_10_0_rv32gc_embench.log twobit 12 ../logs/rv32gc_twobit12.log twobit 12
../logs/bpred_TWOBIT_14_16_10_0_rv32gc_embench.log twobit 14 ../logs/rv32gc_twobit14.log twobit 14
../logs/bpred_TWOBIT_16_16_10_0_rv32gc_embench.log twobit 16 ../logs/rv32gc_twobit16.log twobit 16
../logs/rv32gc_global6.log global 6
../logs/rv32gc_global8.log global 8
../logs/rv32gc_global10.log global 10
../logs/rv32gc_global12.log global 12
../logs/rv32gc_global14.log global 14
../logs/rv32gc_global16.log global 16
../logs/rv32gc_10local_basic6.log local 10 6
../logs/rv32gc_10local_basic8.log local 10 8
../logs/rv32gc_10local_basic10.log local 10 10
../logs/rv32gc_10local_basic12.log local 10 12
../logs/rv32gc_10local_basic14.log local 10 14
../logs/rv32gc_10local_basic16.log local 10 16
../logs/rv32gc_4local_basic6.log local 4 6
../logs/rv32gc_4local_basic8.log local 4 8
../logs/rv32gc_4local_basic10.log local 4 10
../logs/rv32gc_4local_basic12.log local 4 12
../logs/rv32gc_4local_basic14.log local 4 14
../logs/rv32gc_4local_basic16.log local 4 16
../logs/rv32gc_8local_basic6.log local 8 6
../logs/rv32gc_8local_basic8.log local 8 8
../logs/rv32gc_8local_basic10.log local 8 10
../logs/rv32gc_8local_basic12.log local 8 12
../logs/rv32gc_8local_basic14.log local 8 14
../logs/rv32gc_8local_basic16.log local 8 16

8
src/ebu/ebufsmarb.sv
View File

@ -51,7 +51,7 @@ module ebufsmarb (
statetype CurrState, NextState; statetype CurrState, NextState;
logic both; // Both the LSU and IFU request at the same time logic both; // Both the LSU and IFU request at the same time
logic IFUReqD; // 1 cycle delayed IFU request. Part of arbitration logic IFUReqDelay; // 1 cycle delayed IFU request. Part of arbitration
logic FinalBeat, FinalBeatD; // Indicates the last beat of a burst logic FinalBeat, FinalBeatD; // Indicates the last beat of a burst
logic BeatCntEn; logic BeatCntEn;
logic [3:0] BeatCount; // Position within a burst transfer logic [3:0] BeatCount; // Position within a burst transfer
@ -85,11 +85,11 @@ module ebufsmarb (
// Controller 1 (LSU) // Controller 1 (LSU)
// When both the IFU and LSU request at the same time, the FSM will go into the arbitrate state. // When both the IFU and LSU request at the same time, the FSM will go into the arbitrate state.
// Once the LSU request is done the fsm returns to IDLE. To prevent the LSU from regaining // Once the LSU request is done the fsm returns to IDLE. To prevent the LSU from regaining
// priority and re-issuing the same memory operation, the delayed IFUReqD squashes the LSU request. // priority and re-issuing the same memory operation, the delayed IFUReqDelay squashes the LSU request.
// This is necessary because the pipeline is stalled for the entire duration of both transactions, // This is necessary because the pipeline is stalled for the entire duration of both transactions,
// and the LSU memory request will stil be active. // and the LSU memory request will stil be active.
flopr #(1) ifureqreg(HCLK, ~HRESETn, IFUReq, IFUReqD); flopr #(1) ifureqreg(HCLK, ~HRESETn, IFUReq, IFUReqDelay);
assign LSUDisable = (CurrState == ARBITRATE) ? 1'b0 : (IFUReqD & ~(HREADY & FinalBeatD)); assign LSUDisable = (CurrState == ARBITRATE) ? 1'b0 : (IFUReqDelay & ~(HREADY & FinalBeatD));
assign LSUSelect = (NextState == ARBITRATE) ? 1'b1: LSUReq; assign LSUSelect = (NextState == ARBITRATE) ? 1'b1: LSUReq;
//////////////////////////////////////////////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////////////////////////////////////////