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Merge branch 'main' of github.com:ross144/cvw

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This commit is contained in:
Rose Thompson 2023-11-18 19:01:48 -06:00
commit efcd09c6cd
3 changed files with 19 additions and 16 deletions
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28
bin/parseHPMC.py
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@ -180,9 +180,11 @@ def ExtractSelectedData(benchmarkFirstList):
benchmarkDict = { }
for benchmark in benchmarkFirstList:
(name, opt, config, prefixName, entries, dataDict) = benchmark
if opt == 'bd_speedopt_speed': NewName = name+'Sp'
elif opt == 'bd_sizeopt_speed': NewName = name+'Sz'
else: NewName = name
# use this code to distinguish speed opt and size opt.
#if opt == 'bd_speedopt_speed': NewName = name+'Sp'
#elif opt == 'bd_sizeopt_speed': NewName = name+'Sz'
#else: NewName = name
NewName = name
#print(NewName)
#NewName = name+'_'+opt
if NewName in benchmarkDict:
@ -242,7 +244,7 @@ def ReportAsText(benchmarkDict):
def Inversion(lst):
return [x if not args.invert else 100 - x for x in lst]
def BarGraph(seriesDict, xlabelList, BenchPerRow, FileName):
def BarGraph(seriesDict, xlabelList, BenchPerRow, FileName, IncludeLegend):
index = 0
NumberInGroup = len(seriesDict)
# Figure out width of bars. NumberInGroup bars + want 2 bar space
@ -260,8 +262,8 @@ def BarGraph(seriesDict, xlabelList, BenchPerRow, FileName):
plt.xticks([r + barWidth*(NumberInGroup/2-0.5) for r in range(0, BenchPerRow)], xlabelList)
plt.xlabel('Benchmark')
if(not args.invert): plt.ylabel('Misprediction Rate (%)')
else: plt.ylabel('Prediction Accuracy (%)')
plt.legend(loc='upper left', ncol=2)
else: plt.ylabel('Prediction Accuracy (%)')
if(IncludeLegend): plt.legend(loc='upper right', ncol=2)
plt.savefig(FileName)
def SelectPartition(xlabelListBig, seriesDictBig, group, BenchPerRow):
@ -350,13 +352,13 @@ def ReportAsGraph(benchmarkDict, bar):
# index += 1
if(not args.summary):
size = len(benchmarkDict)
sizeSqrt = math.sqrt(size)
isSquare = math.isclose(sizeSqrt, round(sizeSqrt))
numCol = math.floor(sizeSqrt)
NumBenchmarks = len(benchmarkDict)
NumBenchmarksSqrt = math.sqrt(NumBenchmarks)
isSquare = math.isclose(NumBenchmarksSqrt, round(NumBenchmarksSqrt))
numCol = math.floor(NumBenchmarksSqrt)
numRow = numCol + (0 if isSquare else 1)
index = 1
BenchPerRow = 7
BenchPerRow = 5
xlabelList = []
seriesDict = {}
@ -385,11 +387,11 @@ def ReportAsGraph(benchmarkDict, bar):
#The next step will be to split the benchmarkDict into length BenchPerRow pieces then repeat the following code
# on each piece.
for row in range(0, math.ceil(39 / BenchPerRow)):
for row in range(0, math.ceil(NumBenchmarks / BenchPerRow)):
(xlabelListTrunk, seriesDictTrunk) = SelectPartition(xlabelListBig, seriesDictBig, row, BenchPerRow)
FileName = 'barSegment%d.png' % row
groupLen = len(xlabelListTrunk)
BarGraph(seriesDictTrunk, xlabelListTrunk, groupLen, FileName)
BarGraph(seriesDictTrunk, xlabelListTrunk, groupLen, FileName, (row == 0))
# main

3
sim/bpred-sim.py
View File

@ -102,7 +102,8 @@ def main():
if(args.direction):
# for direction predictor size sweep
bpdSize = [6, 8, 10, 12, 14, 16]
bpdType = ['twobit', 'gshare', 'global', 'gshare_basic', 'global_basic', 'local_basic']
#bpdType = ['twobit', 'gshare', 'global', 'gshare_basic', 'global_basic', 'local_basic']
bpdType = ['twobit', 'gshare']
for CurrBPType in bpdType:
for CurrBPSize in bpdSize:
name = CurrBPType+str(CurrBPSize)

4
testbench/testbench.sv
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@ -37,7 +37,7 @@ module testbench;
parameter DEBUG=0;
parameter TEST="none";
parameter PrintHPMCounters=0;
parameter BPRED_LOGGER=0;
parameter BPRED_LOGGER=1;
parameter I_CACHE_ADDR_LOGGER=0;
parameter D_CACHE_ADDR_LOGGER=0;
@ -434,7 +434,7 @@ module testbench;
loggers (clk, reset, DCacheFlushStart, DCacheFlushDone, memfilename);
// track the current function or global label
if (DEBUG == 1 | (PrintHPMCounters & P.ZICNTR_SUPPORTED)) begin : FunctionName
if (DEBUG == 1 | ((PrintHPMCounters | BPRED_LOGGER) & P.ZICNTR_SUPPORTED)) begin : FunctionName
FunctionName #(P) FunctionName(.reset(reset_ext | TestBenchReset),
.clk(clk), .ProgramAddrMapFile(ProgramAddrMapFile), .ProgramLabelMapFile(ProgramLabelMapFile));
end