Skip to content
Snippets Groups Projects
Commit 5c7f5331 authored by Tomáš Oberhuber's avatar Tomáš Oberhuber
Browse files

Fixed script for processing SpMV benchmark results.

parent 0081833b
No related branches found
No related tags found
No related merge requests found
Hide whitespace changes
Inline Side-by-side
src/Benchmarks/scripts/tnl-spmv-benchmark-make-tables.py
+ 188
− 76
View file @ 5c7f5331
...@@ -64,9 +64,11 @@ df.drop(columns=('BiEllpack', 'CPU','speedup'), axis=1, inplace=True ) ...@@ -64,9 +64,11 @@ df.drop(columns=('BiEllpack', 'CPU','speedup'), axis=1, inplace=True )
df.drop(columns=('CSR', 'CPU','speedup'), axis=1, inplace=True ) df.drop(columns=('CSR', 'CPU','speedup'), axis=1, inplace=True )
#df.drop(columns=('CSR Legacy Adaptive', 'CPU','speedup'), axis=1, inplace=True ) #df.drop(columns=('CSR Legacy Adaptive', 'CPU','speedup'), axis=1, inplace=True )
#df.drop(columns=('CSR Legacy Light', 'CPU','speedup'), axis=1, inplace=True ) #df.drop(columns=('CSR Legacy Light', 'CPU','speedup'), axis=1, inplace=True )
#df.drop(columns=('CSR Legacy LightWithoutAtomic', 'CPU','speedup'), axis=1, inplace=True )
#df.drop(columns=('CSR Legacy Scalar', 'CPU','speedup'), axis=1, inplace=True ) #df.drop(columns=('CSR Legacy Scalar', 'CPU','speedup'), axis=1, inplace=True )
#df.drop(columns=('CSR Legacy Stream', 'CPU','speedup'), axis=1, inplace=True ) #df.drop(columns=('CSR Legacy Stream', 'CPU','speedup'), axis=1, inplace=True )
#df.drop(columns=('CSR Legacy Vector', 'CPU','speedup'), axis=1, inplace=True ) #df.drop(columns=('CSR Legacy Vector', 'CPU','speedup'), axis=1, inplace=True )
#df.drop(columns=('CSR Legacy MultiVector', 'CPU','speedup'), axis=1, inplace=True )
df.drop(columns=('ChunkedEllpack Legacy', 'CPU','speedup'), axis=1, inplace=True ) df.drop(columns=('ChunkedEllpack Legacy', 'CPU','speedup'), axis=1, inplace=True )
df.drop(columns=('Ellpack', 'CPU','speedup'), axis=1, inplace=True ) df.drop(columns=('Ellpack', 'CPU','speedup'), axis=1, inplace=True )
df.drop(columns=('Ellpack Legacy', 'CPU','speedup'), axis=1, inplace=True ) df.drop(columns=('Ellpack Legacy', 'CPU','speedup'), axis=1, inplace=True )
...@@ -74,32 +76,33 @@ df.drop(columns=('SlicedEllpack', 'CPU','speedup'), axis=1, inplace=True ) ...@@ -74,32 +76,33 @@ df.drop(columns=('SlicedEllpack', 'CPU','speedup'), axis=1, inplace=True )
df.drop(columns=('SlicedEllpack Legacy', 'CPU','speedup'), axis=1, inplace=True ) df.drop(columns=('SlicedEllpack Legacy', 'CPU','speedup'), axis=1, inplace=True )
#df.drop(columns=('cuSparse', 'CPU'), axis=1, inplace=True ) #df.drop(columns=('cuSparse', 'CPU'), axis=1, inplace=True )
print( "Exporting data frame to log.html..." ) #print( "Exporting data frame to log.html..." )
pandas.options.display.float_format = '{:,.4f}'.format #pandas.options.display.float_format = '{:,.4f}'.format
df.to_html("log.html") #df.to_html("log.html")
print( "Computing speed-up of formats...") print( "Computing speed-up of formats...")
# Add speedup compared to CSR and cuSparse # Add speedup compared to CSR and cuSparse
df["BiEllpack Legacy", "CPU", "CSR speedup"] = df["BiEllpack Legacy", "CPU", "time"] / df["CSR", "CPU", "time"] df["BiEllpack Legacy", "CPU", "CSR speedup"] = df["BiEllpack Legacy", "CPU", "time"] / df["CSR", "CPU", "time"]
df["BiEllpack Legacy", "GPU", "cuSparse speedup"] = df["BiEllpack Legacy", "GPU", "time"] / df["cuSparse", "GPU", "time"] df["BiEllpack Legacy", "GPU", "cuSparse speedup"] = df["BiEllpack Legacy", "GPU", "time"] / df["cuSparse", "GPU", "time"]
df["BiEllpack", "CPU", "CSR speedup"] = df["BiEllpack", "CPU", "time"] / df["CSR", "CPU", "time"] df["BiEllpack", "CPU", "CSR speedup"] = df["BiEllpack", "CPU", "time"] / df["CSR", "CPU", "time"]
df["BiEllpacky", "GPU", "cuSparse speedup"] = df["BiEllpack", "GPU", "time"] / df["cuSparse", "GPU", "time"] df["BiEllpacky", "GPU", "cuSparse speedup"] = df["BiEllpack", "GPU", "time"] / df["cuSparse", "GPU", "time"]
df["CSR", "GPU", "cuSparse speedup"] = df["CSR", "GPU", "time"] / df["cuSparse", "GPU", "time"] df["CSR", "GPU", "cuSparse speedup"] = df["CSR", "GPU", "time"] / df["cuSparse", "GPU", "time"]
#df["CSR Legacy Adaptive", "GPU", "cuSparse speedup"] = df["CSR Legacy Adaptive", "GPU", "time"] / df["cuSparse", "GPU", "time"] #df["CSR Legacy Adaptive", "GPU", "cuSparse speedup"] = df["CSR Legacy Adaptive", "GPU", "time"] / df["cuSparse", "GPU", "time"]
#df["CSR Legacy Light", "GPU", "cuSparse speedup"] = df["CSR Legacy Light", "GPU", "time"] / df["cuSparse", "GPU", "time"] #df["CSR Legacy Light", "GPU", "cuSparse speedup"] = df["CSR Legacy Light", "GPU", "time"] / df["cuSparse", "GPU", "time"]
#df["CSR Legacy Scalar", "GPU", "cuSparse speedup"] = df["CSR Legacy Scalar", "GPU", "time"] / df["cuSparse", "GPU", "time"] #df["CSR Legacy LightWithoutAtomic", "GPU", "cuSparse speedup"] = df["CSR Legacy LightWithoutAtomic", "GPU", "time"] / df["cuSparse", "GPU", "time"]
#df["CSR Legacy Stream", "GPU", "cuSparse speedup"] = df["CSR Legacy Stream", "GPU", "time"] / df["cuSparse", "GPU", "time"] #df["CSR Legacy Scalar", "GPU", "cuSparse speedup"] = df["CSR Legacy Scalar", "GPU", "time"] / df["cuSparse", "GPU", "time"]
#df["CSR Legacy Vector", "GPU", "cuSparse speedup"] = df["CSR Legacy Vector", "GPU", "time"] / df["cuSparse", "GPU", "time"] #df["CSR Legacy Vector", "GPU", "cuSparse speedup"] = df["CSR Legacy Vector", "GPU", "time"] / df["cuSparse", "GPU", "time"]
df["ChunkedEllpack Legacy", "CPU", "CSR speedup"] = df["ChunkedEllpack Legacy", "CPU", "time"] / df["CSR", "CPU", "time"] #df["CSR Legacy MultiVector", "GPU", "cuSparse speedup"] = df["CSR Legacy MultiVector", "GPU", "time"] / df["cuSparse", "GPU", "time"]
df["ChunkedEllpack Legacy", "GPU", "cuSparse speedup"] = df["ChunkedEllpack Legacy", "GPU", "time"] / df["cuSparse", "GPU", "time"] df["ChunkedEllpack Legacy", "CPU", "CSR speedup"] = df["ChunkedEllpack Legacy", "CPU", "time"] / df["CSR", "CPU", "time"]
df["Ellpack Legacy", "CPU", "CSR speedup"] = df["Ellpack Legacy", "CPU", "time"] / df["CSR", "CPU", "time"] df["ChunkedEllpack Legacy", "GPU", "cuSparse speedup"] = df["ChunkedEllpack Legacy", "GPU", "time"] / df["cuSparse", "GPU", "time"]
df["Ellpack Legacy", "GPU", "cuSparse speedup"] = df["Ellpack Legacy", "GPU", "time"] / df["cuSparse", "GPU", "time"] df["Ellpack Legacy", "CPU", "CSR speedup"] = df["Ellpack Legacy", "CPU", "time"] / df["CSR", "CPU", "time"]
df["Ellpack", "CPU", "CSR speedup"] = df["Ellpack", "CPU", "time"] / df["CSR", "CPU", "time"] df["Ellpack Legacy", "GPU", "cuSparse speedup"] = df["Ellpack Legacy", "GPU", "time"] / df["cuSparse", "GPU", "time"]
df["Ellpack", "GPU", "cuSparse speedup"] = df["Ellpack", "GPU", "time"] / df["cuSparse", "GPU", "time"] df["Ellpack", "CPU", "CSR speedup"] = df["Ellpack", "CPU", "time"] / df["CSR", "CPU", "time"]
df["SlicedEllpack Legacy", "CPU", "CSR speedup"] = df["SlicedEllpack Legacy", "CPU", "time"] / df["CSR", "CPU", "time"] df["Ellpack", "GPU", "cuSparse speedup"] = df["Ellpack", "GPU", "time"] / df["cuSparse", "GPU", "time"]
df["SlicedEllpack Legacy", "GPU", "cuSparse speedup"] = df["SlicedEllpack Legacy", "GPU", "time"] / df["cuSparse", "GPU", "time"] df["SlicedEllpack Legacy", "CPU", "CSR speedup"] = df["SlicedEllpack Legacy", "CPU", "time"] / df["CSR", "CPU", "time"]
df["SlicedEllpack", "CPU", "CSR speedup"] = df["SlicedEllpack", "CPU", "time"] / df["CSR", "CPU", "time"] df["SlicedEllpack Legacy", "GPU", "cuSparse speedup"] = df["SlicedEllpack Legacy", "GPU", "time"] / df["cuSparse", "GPU", "time"]
df["SlicedEllpack", "GPU", "cuSparse speedup"] = df["SlicedEllpack", "GPU", "time"] / df["cuSparse", "GPU", "time"] df["SlicedEllpack", "CPU", "CSR speedup"] = df["SlicedEllpack", "CPU", "time"] / df["CSR", "CPU", "time"]
df["SlicedEllpack", "GPU", "cuSparse speedup"] = df["SlicedEllpack", "GPU", "time"] / df["cuSparse", "GPU", "time"]
# Add speedup compared to legacy formats # Add speedup compared to legacy formats
df["CSR", "GPU", "Legacy speedup"] = df["CSR", "GPU", "time"] / df["CSR Legacy Scalar", "GPU", "time"] df["CSR", "GPU", "Legacy speedup"] = df["CSR", "GPU", "time"] / df["CSR Legacy Scalar", "GPU", "time"]
...@@ -111,26 +114,41 @@ df["SlicedEllpack", "CPU", "Legacy speedup"] = df["SlicedEllpack", ...@@ -111,26 +114,41 @@ df["SlicedEllpack", "CPU", "Legacy speedup"] = df["SlicedEllpack",
df["BiEllpack", "GPU", "Legacy speedup"] = df["BiEllpack", "GPU", "time"] / df["BiEllpack Legacy", "GPU", "time"] df["BiEllpack", "GPU", "Legacy speedup"] = df["BiEllpack", "GPU", "time"] / df["BiEllpack Legacy", "GPU", "time"]
df["BiEllpack", "CPU", "Legacy speedup"] = df["BiEllpack", "CPU", "time"] / df["BiEllpack Legacy", "CPU", "time"] df["BiEllpack", "CPU", "Legacy speedup"] = df["BiEllpack", "CPU", "time"] / df["BiEllpack Legacy", "CPU", "time"]
#print( "Exporting data frame to log.html..." ) print( "Exporting data frame to log.html..." )
#pandas.options.display.float_format = '{:,.4f}'.format pandas.options.display.float_format = '{:,.4f}'.format
#df.to_html("log.html") df.to_html("log.html")
# extract columns of reference formats on GPU # extract columns of reference formats on GPU
print( "Preparing data for graph analysis..." ) print( "Preparing data for graph analysis..." )
df['cuSparse-bandwidth']=df['cuSparse','GPU','bandwidth'] df['cuSparse-bandwidth' ] = df[ 'cuSparse','GPU','bandwidth']
df['ellpack-bandwidth']=df['Ellpack','GPU','bandwidth'] #df['csr-legacy-adaptive-bandwidth' ] = df[ 'CSR Legacy Adaptive','GPU','bandwidth']
df['sliced-ellpack-bandwidth']=df['SlicedEllpack','GPU','bandwidth'] #df['csr-legacy-light-bandwidth' ] = df[ 'CSR Legacy Light','GPU','bandwidth']
df['bi-ellpack-bandwidth']=df['BiEllpack','GPU','bandwidth'] #df['csr-legacy-light-without-atomic-bandwidth' ] = df[ 'CSR Legacy LightWithoutAtomic','GPU','bandwidth']
#df['csr-legacy-scalar-bandwidth' ] = df[ 'CSR Legacy Scalar','GPU','bandwidth']
#df['csr-legacy-vector-bandwidth' ] = df[ 'CSR Legacy Vector','GPU','bandwidth']
#df['csr-legacy-multi-vector-bandwidth' ] = df[ 'CSR Legacy MultiVector','GPU','bandwidth']
df['ellpack-bandwidth' ] = df[ 'Ellpack','GPU','bandwidth']
df['sliced-ellpack-bandwidth' ] = df[ 'SlicedEllpack','GPU','bandwidth']
df['chunked-ellpack-bandwidth' ] = df[ 'ChunkedEllpack','GPU','bandwidth']
df['bi-ellpack-bandwidth' ] = df[ 'BiEllpack','GPU','bandwidth']
# sort by cuSparse # sort by cuSparse
df.sort_values(by=["cuSparse-bandwidth"],inplace=True,ascending=False) df.sort_values(by=["cuSparse-bandwidth"],inplace=True,ascending=False)
cuSparse_list = df['cuSparse-bandwidth'].tolist() cuSparse_list = df['cuSparse-bandwidth'].tolist()
cuSparse_ellpack_gpu_list = df["Ellpack", "GPU", "bandwidth"].tolist(); #cuSparse_csr_legacy_adaptive_gpu_list = df[ "CSR Legacy Adaptive", "GPU", "bandwidth"].tolist();
cuSparse_ellpack_legacy_gpu_list = df["Ellpack Legacy", "GPU", "bandwidth"].tolist(); #cuSparse_csr_legacy_light_gpu_list = df[ "CSR Legacy Light", "GPU", "bandwidth"].tolist();
cuSparse_sliced_ellpack_gpu_list = df["SlicedEllpack", "GPU", "bandwidth"].tolist(); #cuSparse_csr_legacy_light_without_atomic_gpu_list = df[ "CSR Legacy LightWithoutAtomic", "GPU", "bandwidth"].tolist();
cuSparse_sliced_ellpack_legacy_gpu_list = df["SlicedEllpack Legacy", "GPU", "bandwidth"].tolist(); #cuSparse_csr_legacy_scalar_gpu_list = df[ "CSR Legacy Scalar", "GPU", "bandwidth"].tolist();
cuSparse_chunked_ellpack_legacy_gpu_list = df["ChunkedEllpack Legacy", "GPU", "bandwidth"].tolist(); #cuSparse_csr_legacy_vector_gpu_list = df[ "CSR Legacy Vector", "GPU", "bandwidth"].tolist();
cuSparse_bi_ellpack_legacy_gpu_list = df["BiEllpack Legacy", "GPU", "bandwidth"].tolist(); #cuSparse_csr_legacy_multivector_gpu_list = df[ "CSR Legacy MultiVector", "GPU", "bandwidth"].tolist();
cuSparse_ellpack_gpu_list = df[ "Ellpack", "GPU", "bandwidth"].tolist();
cuSparse_ellpack_legacy_gpu_list = df[ "Ellpack Legacy", "GPU", "bandwidth"].tolist();
cuSparse_sliced_ellpack_gpu_list = df[ "SlicedEllpack", "GPU", "bandwidth"].tolist();
cuSparse_sliced_ellpack_legacy_gpu_list = df[ "SlicedEllpack Legacy", "GPU", "bandwidth"].tolist();
cuSparse_chunked_ellpack_legacy_gpu_list = df[ "ChunkedEllpack Legacy", "GPU", "bandwidth"].tolist();
cuSparse_chunked_ellpack_gpu_list = df[ "ChunkedEllpack", "GPU", "bandwidth"].tolist();
cuSparse_bi_ellpack_legacy_gpu_list = df[ "BiEllpack Legacy", "GPU", "bandwidth"].tolist();
cuSparse_bi_ellpack_gpu_list = df[ "BiEllpack", "GPU", "bandwidth"].tolist();
# sort by Ellpack # sort by Ellpack
df.sort_values(by=["ellpack-bandwidth"],inplace=True,ascending=False) df.sort_values(by=["ellpack-bandwidth"],inplace=True,ascending=False)
...@@ -143,6 +161,12 @@ df.sort_values(by=["sliced-ellpack-bandwidth"],inplace=True,ascending=False) ...@@ -143,6 +161,12 @@ df.sort_values(by=["sliced-ellpack-bandwidth"],inplace=True,ascending=False)
sliced_ellpack_gpu_list = df["SlicedEllpack", "GPU", "bandwidth"].tolist(); sliced_ellpack_gpu_list = df["SlicedEllpack", "GPU", "bandwidth"].tolist();
sliced_ellpack_legacy_gpu_list = df["SlicedEllpack Legacy", "GPU", "bandwidth"].tolist(); sliced_ellpack_legacy_gpu_list = df["SlicedEllpack Legacy", "GPU", "bandwidth"].tolist();
# sort by ChunkedEllpack
df.sort_values(by=["chunked-ellpack-bandwidth"],inplace=True,ascending=False)
df.sort_values(by=["chunked-ellpack-bandwidth"],inplace=True,ascending=False)
chunked_ellpack_gpu_list = df["ChunkedEllpack", "GPU", "bandwidth"].tolist();
chunked_ellpack_legacy_gpu_list = df["ChunkedEllpack Legacy", "GPU", "bandwidth"].tolist();
# sort by BiEllpack # sort by BiEllpack
df.sort_values(by=["bi-ellpack-bandwidth"],inplace=True,ascending=False) df.sort_values(by=["bi-ellpack-bandwidth"],inplace=True,ascending=False)
df.sort_values(by=["bi-ellpack-bandwidth"],inplace=True,ascending=False) df.sort_values(by=["bi-ellpack-bandwidth"],inplace=True,ascending=False)
...@@ -155,11 +179,31 @@ cuSparse_file = open( "cusparse.gplt", "w" ) ...@@ -155,11 +179,31 @@ cuSparse_file = open( "cusparse.gplt", "w" )
i = 0 i = 0
for x in cuSparse_list: for x in cuSparse_list:
if str( x ) != "nan": if str( x ) != "nan":
if str( cuSparse_ellpack_gpu_list[ i ] ) != "nan" and str( cuSparse_ellpack_legacy_gpu_list[ i ] ) != "nan": if ( #str( cuSparse_csr_legacy_adaptive_gpu_list[ i ] ) != "nan" and
cuSparse_file.write( f"{i+1} {x} " ) #str( cuSparse_csr_legacy_light_gpu_list[ i ] ) != "nan" and
cuSparse_file.write( f"{cuSparse_ellpack_gpu_list[ i ]} {cuSparse_ellpack_legacy_gpu_list[ i ]} " ) #str( cuSparse_csr_legacy_light_without_atomic_gpu_list[ i ] ) != "nan" and
cuSparse_file.write( f"{cuSparse_sliced_ellpack_gpu_list[ i ]} {cuSparse_sliced_ellpack_legacy_gpu_list[ i ]} " ) #str( cuSparse_csr_legacy_scalar_gpu_list[ i ] ) != "nan" and
cuSparse_file.write( f"{cuSparse_chunked_ellpack_legacy_gpu_list[ i ]} {cuSparse_bi_ellpack_legacy_gpu_list[ i ]}\n" ) #str( cuSparse_csr_legacy_vector_gpu_list[ i ] ) != "nan" and
#str( cuSparse_csr_legacy_multivector_gpu_list[ i ] ) != "nan" and
str( cuSparse_ellpack_gpu_list[ i ] ) != "nan" and
str( cuSparse_ellpack_legacy_gpu_list[ i ] ) != "nan" and
str( cuSparse_sliced_ellpack_gpu_list[ i ] ) != "nan" and
str( cuSparse_sliced_ellpack_legacy_gpu_list[ i ] ) != "nan" and
str( cuSparse_chunked_ellpack_gpu_list[ i ] ) != "nan" and
str( cuSparse_chunked_ellpack_legacy_gpu_list[ i ] ) != "nan" and
str( cuSparse_bi_ellpack_gpu_list[ i ] ) != "nan" and
str( cuSparse_bi_ellpack_legacy_gpu_list[ i ] ) != "nan" ):
cuSparse_file.write( f"{i+1} {x} " ) # 1 2
cuSparse_file.write( f"0 " ) #{cuSparse_csr_legacy_adaptive_gpu_list[ i ]} " ) # 3
cuSparse_file.write( f"0 " ) #{cuSparse_csr_legacy_light_gpu_list[ i ]} " ) # 4
cuSparse_file.write( f"0 " ) #{cuSparse_csr_legacy_light_without_atomic_gpu_list[ i ]} " ) # 5
cuSparse_file.write( f"0 " ) #{cuSparse_csr_legacy_scalar_gpu_list[ i ]} " ) # 6
cuSparse_file.write( f"0 " ) #{cuSparse_csr_legacy_vector_gpu_list[ i ]} " ) # 7
cuSparse_file.write( f"0 " ) #{cuSparse_csr_legacy_multivector_gpu_list[ i ]} " ) # 8
cuSparse_file.write( f"{cuSparse_ellpack_gpu_list[ i ]} {cuSparse_ellpack_legacy_gpu_list[ i ]} " ) # 9 10
cuSparse_file.write( f"{cuSparse_sliced_ellpack_gpu_list[ i ]} {cuSparse_sliced_ellpack_legacy_gpu_list[ i ]} " ) # 11 12
cuSparse_file.write( f"{cuSparse_chunked_ellpack_gpu_list[ i ]} {cuSparse_chunked_ellpack_legacy_gpu_list[ i ]} " ) # 13 14
cuSparse_file.write( f"{cuSparse_bi_ellpack_gpu_list[ i ]} {cuSparse_bi_ellpack_legacy_gpu_list[ i ]}\n" ) # 15 16
i = i + 1 i = i + 1
cuSparse_file.close() cuSparse_file.close()
...@@ -181,6 +225,15 @@ for x in sliced_ellpack_gpu_list: ...@@ -181,6 +225,15 @@ for x in sliced_ellpack_gpu_list:
i = i + 1 i = i + 1
sliced_ellpack_file.close() sliced_ellpack_file.close()
chunked_ellpack_file = open( "chunked-ellpack.gplt", "w" )
i = 0;
for x in chunked_ellpack_gpu_list:
if str( x ) != "nan":
if str( chunked_ellpack_legacy_gpu_list[ i ] ) != "nan":
chunked_ellpack_file.write( f"{i+1} {x} {chunked_ellpack_legacy_gpu_list[ i ]}\n" )
i = i + 1
chunked_ellpack_file.close()
bi_ellpack_file = open( "bi-ellpack.gplt", "w" ) bi_ellpack_file = open( "bi-ellpack.gplt", "w" )
i = 0; i = 0;
for x in bi_ellpack_gpu_list: for x in bi_ellpack_gpu_list:
...@@ -200,55 +253,114 @@ set grid ...@@ -200,55 +253,114 @@ set grid
set xlabel 'Matrix' set xlabel 'Matrix'
set xtics 250 set xtics 250
set ylabel 'Bandwidth GB/sec' set ylabel 'Bandwidth GB/sec'
#set output 'csr-legacy-adaptive-vs-cusparse.eps'
#plot 'cusparse.gplt' using 1:2 title '' with dots linewidth 2 lt rgb 'red', \
# 'cusparse.gplt' using 1:2 title 'cuSparse' with lines linewidth 0.5 lt rgb 'red', \
# 'cusparse.gplt' using 1:3 title '' with dots linewidth 2 lt rgb 'green', \
# 'cusparse.gplt' using 1:3 title 'CSR Legacy Adaptive' with lines linewidth 0.5 lt rgb 'green',
#set output 'csr-legacy-light-vs-cusparse.eps'
#plot 'cusparse.gplt' using 1:2 title '' with dots linewidth 2 lt rgb 'red', \
# 'cusparse.gplt' using 1:2 title 'cuSparse' with lines linewidth 0.5 lt rgb 'red', \
# 'cusparse.gplt' using 1:4 title '' with dots linewidth 2 lt rgb 'green', \
# 'cusparse.gplt' using 1:4 title 'CSR Legacy Light' with lines linewidth 0.5 lt rgb 'green',
#set output 'csr-legacy-light-without-atomic-vs-cusparse.eps'
#plot 'cusparse.gplt' using 1:2 title '' with dots linewidth 2 lt rgb 'red', \
# 'cusparse.gplt' using 1:2 title 'cuSparse' with lines linewidth 0.5 lt rgb 'red', \
# 'cusparse.gplt' using 1:5 title '' with dots linewidth 2 lt rgb 'green', \
# 'cusparse.gplt' using 1:5 title 'CSR Legacy LightWithoutAtomic' with lines linewidth 0.5 lt rgb 'green',
#set output 'csr-legacy-scalar-vs-cusparse.eps'
#plot 'cusparse.gplt' using 1:2 title '' with dots linewidth 2 lt rgb 'red', \
# 'cusparse.gplt' using 1:2 title 'cuSparse' with lines linewidth 0.5 lt rgb 'red', \
# 'cusparse.gplt' using 1:6 title '' with dots linewidth 2 lt rgb 'green', \
# 'cusparse.gplt' using 1:6 title 'CSR Legacy Scalar' with lines linewidth 0.5 lt rgb 'green',
#set output 'csr-legacy-vector-vs-cusparse.eps'
#plot 'cusparse.gplt' using 1:2 title '' with dots linewidth 2 lt rgb 'red', \
# 'cusparse.gplt' using 1:2 title 'cuSparse' with lines linewidth 0.5 lt rgb 'red', \
# 'cusparse.gplt' using 1:7 title '' with dots linewidth 2 lt rgb 'green', \
# 'cusparse.gplt' using 1:7 title 'CSR Legacy Vector' with lines linewidth 0.5 lt rgb 'green',
#set output 'csr-legacy-multivector-vs-cusparse.eps'
#plot 'cusparse.gplt' using 1:2 title '' with dots linewidth 2 lt rgb 'red', \
# 'cusparse.gplt' using 1:2 title 'cuSparse' with lines linewidth 0.5 lt rgb 'red', \
# 'cusparse.gplt' using 1:8 title '' with dots linewidth 2 lt rgb 'green', \
# 'cusparse.gplt' using 1:8 title 'CSR Legacy MultiVector' with lines linewidth 0.5 lt rgb 'green',
set output 'ellpack-vs-cusparse.eps' set output 'ellpack-vs-cusparse.eps'
plot 'cusparse.gplt' using 1:2 title 'cuSparse' with lines linewidth 2 lt rgb 'red', \ plot 'cusparse.gplt' using 1:2 title '' with dots linewidth 2 lt rgb 'red', \
'cusparse.gplt' using 1:3 title 'Ellpack' with dots linewidth 2 lt rgb 'green', \ 'cusparse.gplt' using 1:2 title 'cuSparse' with lines linewidth 0.5 lt rgb 'red', \
'cusparse.gplt' using 1:4 title 'Ellpack Legacy' with dots linewidth 2 lt rgb 'blue' 'cusparse.gplt' using 1:9 title '' with dots linewidth 2 lt rgb 'green', \
'cusparse.gplt' using 1:9 title 'Ellpack' with lines linewidth 0.5 lt rgb 'green', \
'cusparse.gplt' using 1:10 title '' with dots linewidth 2 lt rgb 'blue', \
'cusparse.gplt' using 1:10 title 'Ellpack Legacy' with lines linewidth 0.5 lt rgb 'blue'
set output 'sliced-ellpack-vs-cusparse.eps'
plot 'cusparse.gplt' using 1:2 title '' with dots linewidth 2 lt rgb 'red', \
'cusparse.gplt' using 1:2 title 'cuSparse' with lines linewidth 0.5 lt rgb 'red', \
'cusparse.gplt' using 1:11 title '' with dots linewidth 2 lt rgb 'green', \
'cusparse.gplt' using 1:11 title 'Sliced Ellpack' with lines linewidth 0.5 lt rgb 'green', \
'cusparse.gplt' using 1:12 title '' with dots linewidth 2 lt rgb 'blue', \
'cusparse.gplt' using 1:12 title 'Sliced Ellpack Legacy' with lines linewidth 0.5 lt rgb 'blue'
set output 'chunked-ellpack-vs-cusparse.eps'
plot 'cusparse.gplt' using 1:2 title '' with dots linewidth 2 lt rgb 'red', \
'cusparse.gplt' using 1:2 title 'cuSparse' with lines linewidth 0.5 lt rgb 'red', \
'cusparse.gplt' using 1:13 title '' with dots linewidth 2 lt rgb 'green', \
'cusparse.gplt' using 1:13 title 'Chunked Ellpack' with lines linewidth 0.5 lt rgb 'green', \
'cusparse.gplt' using 1:14 title '' with dots linewidth 2 lt rgb 'blue', \
'cusparse.gplt' using 1:14 title 'Chunked Ellpack Legacy' with lines linewidth 0.5 lt rgb 'blue'
set output 'bi-ellpack-vs-cusparse.eps'
plot 'cusparse.gplt' using 1:2 title '' with dots linewidth 2 lt rgb 'red', \
'cusparse.gplt' using 1:2 title 'cuSparse' with lines linewidth 0.5 lt rgb 'red', \
'cusparse.gplt' using 1:15 title '' with dots linewidth 2 lt rgb 'green', \
'cusparse.gplt' using 1:15 title 'BiEllpack' with lines linewidth 0.5 lt rgb 'green', \
'cusparse.gplt' using 1:16 title '' with dots linewidth 2 lt rgb 'blue', \
'cusparse.gplt' using 1:16 title 'BiEllpack Legacy' with lines linewidth 0.5 lt rgb 'blue'
set output 'ellpack-vs-ellpack-legacy.eps'
plot 'ellpack.gplt' using 1:2 title '' with dots linewidth 2 lt rgb 'red', \
'ellpack.gplt' using 1:2 title 'Ellpack' with lines linewidth 0.5 lt rgb 'red', \
'ellpack.gplt' using 1:3 title '' with dots linewidth 2 lt rgb 'blue', \
'ellpack.gplt' using 1:3 title 'Ellpack Legacy' with lines linewidth 0.5 lt rgb 'blue'
set output 'sliced-ellpack-vs-sliced-ellpack-legacy.eps'
plot 'sliced-ellpack.gplt' using 1:2 title '' with dots linewidth 2 lt rgb 'red', \
'sliced-ellpack.gplt' using 1:2 title 'SlicedEllpack' with lines linewidth 0.5 lt rgb 'red', \
'sliced-ellpack.gplt' using 1:3 title '' with dots linewidth 2 lt rgb 'blue', \
'sliced-ellpack.gplt' using 1:3 title 'SlicedEllpack Legacy' with lines linewidth 0.5 lt rgb 'blue'
set output 'chunked-ellpack-vs-chunked-ellpack-legacy.eps'
plot 'chunked-ellpack.gplt' using 1:2 title '' with dots linewidth 2 lt rgb 'red', \
'chunked-ellpack.gplt' using 1:2 title 'ChunkedEllpack' with lines linewidth 0.5 lt rgb 'red', \
'chunked-ellpack.gplt' using 1:3 title '' with dots linewidth 2 lt rgb 'blue', \
'chunked-ellpack.gplt' using 1:3 title 'ChunkedEllpack Legacy' with lines linewidth 0.5 lt rgb 'blue'
set output 'bi-ellpack-vs-bi-ellpack-legacy.eps'
plot 'bi-ellpack.gplt' using 1:2 title '' with dots linewidth 2 lt rgb 'red', \
'bi-ellpack.gplt' using 1:2 title 'BiEllpack' with lines linewidth 0.5 lt rgb 'red', \
'bi-ellpack.gplt' using 1:3 title '' with dots linewidth 2 lt rgb 'blue', \
'bi-ellpack.gplt' using 1:3 title 'BiEllpack Legacy' with lines linewidth 0.5 lt rgb 'blue'
""") """)
# TODO: formatting like ^
gnuplot_file.write( "set output 'sliced-ellpack-vs-cusparse.eps'\n" )
gnuplot_file.write( "plot 'cusparse.gplt' using 1:2 title 'cuSparse' with lines linewidth 2 lt rgb 'red', \\\n" )
gnuplot_file.write( " 'cusparse.gplt' using 1:5 title 'Sliced Ellpack' with dots linewidth 2 lt rgb 'green',\\\n" )
gnuplot_file.write( " 'cusparse.gplt' using 1:6 title 'Sliced Ellpack Legacy' with dots linewidth 2 lt rgb 'blue'\n" )
gnuplot_file.write( "set output 'chunked-ellpack-vs-cusparse.eps'\n" )
gnuplot_file.write( "plot 'cusparse.gplt' using 1:2 title 'cuSparse' with lines linewidth 2 lt rgb 'red', \\\n" )
gnuplot_file.write( " 'cusparse.gplt' using 1:7 title 'Chunked Ellpack' with dots linewidth 2 lt rgb 'green',\\\n" )
gnuplot_file.write( " 'cusparse.gplt' using 1:7 title 'Chunked Ellpack Legacy' with dots linewidth 2 lt rgb 'blue'\n" )
gnuplot_file.write( "set output 'bi-ellpack-vs-cusparse.eps'\n" )
gnuplot_file.write( "plot 'cusparse.gplt' using 1:2 title 'cuSparse' with lines linewidth 2 lt rgb 'red', \\\n" )
gnuplot_file.write( " 'cusparse.gplt' using 1:7 title 'BiEllpack' with dots linewidth 2 lt rgb 'green',\\\n" )
gnuplot_file.write( " 'cusparse.gplt' using 1:8 title 'BiEllpack Legacy' with dots linewidth 2 lt rgb 'blue'\n" )
gnuplot_file.write( "set output 'ellpack-vs-ellpack-legacy.eps'\n" )
gnuplot_file.write( "plot 'ellpack.gplt' using 1:2 title 'Ellpack' with lines linewidth 2 lt rgb 'red', \\\n" )
gnuplot_file.write( " 'ellpack.gplt' using 1:3 title 'Ellpack Legacy' with dots linewidth 2 lt rgb 'blue'\n" )
gnuplot_file.write( "set output 'sliced-ellpack-vs-sliced-ellpack-legacy.eps'\n" )
gnuplot_file.write( "plot 'sliced-ellpack.gplt' using 1:2 title 'SlicedEllpack' with lines linewidth 2 lt rgb 'red', \\\n" )
gnuplot_file.write( " 'sliced-ellpack.gplt' using 1:3 title 'SlicedEllpack Legacy' with dots linewidth 2 lt rgb 'blue'\n" )
gnuplot_file.write( "set output 'bi-ellpack-vs-bi-ellpack-legacy.eps'\n" )
gnuplot_file.write( "plot 'bi-ellpack.gplt' using 1:2 title 'BiEllpack' with lines linewidth 2 lt rgb 'red', \\\n" )
gnuplot_file.write( " 'bi-ellpack.gplt' using 1:3 title 'BiEllpack Legacy' with dots linewidth 2 lt rgb 'blue'\n" )
gnuplot_file.close() gnuplot_file.close()
print( "Executing Gnuplot ..." ) print( "Executing Gnuplot ..." )
os.system( "gnuplot gnuplot.gplt" ) os.system( "gnuplot gnuplot.gplt" )
print( "Converting files to PDF ..." ) print( "Converting files to PDF ..." )
#os.system( "epstopdf --autorotate All csr-legacy-adaptive-vs-cusparse.eps" )
#os.system( "epstopdf --autorotate All csr-legacy-light-vs-cusparse.eps" )
#os.system( "epstopdf --autorotate All csr-legacy-light-without-atomic-vs-cusparse.eps" )
#os.system( "epstopdf --autorotate All csr-legacy-scalar-vs-cusparse.eps" )
#os.system( "epstopdf --autorotate All csr-legacy-vector-vs-cusparse.eps" )
#os.system( "epstopdf --autorotate All csr-legacy-multivector-vs-cusparse.eps" )
os.system( "epstopdf --autorotate All ellpack-vs-cusparse.eps" ) os.system( "epstopdf --autorotate All ellpack-vs-cusparse.eps" )
os.system( "epstopdf --autorotate All sliced-ellpack-vs-cusparse.eps" ) os.system( "epstopdf --autorotate All sliced-ellpack-vs-cusparse.eps" )
os.system( "epstopdf --autorotate All chunked-ellpack-vs-cusparse.eps" ) os.system( "epstopdf --autorotate All chunked-ellpack-vs-cusparse.eps" )
os.system( "epstopdf --autorotate All bi-ellpack-vs-cusparse.eps" ) os.system( "epstopdf --autorotate All bi-ellpack-vs-cusparse.eps" )
os.system( "epstopdf --autorotate All ellpack-vs-ellpack-legacy.eps" ) os.system( "epstopdf --autorotate All ellpack-vs-ellpack-legacy.eps" )
os.system( "epstopdf --autorotate All sliced-ellpack-vs-sliced-ellpack-legacy.eps" ) os.system( "epstopdf --autorotate All sliced-ellpack-vs-sliced-ellpack-legacy.eps" )
os.system( "epstopdf --autorotate All chunked-ellpack-vs-chunked-ellpack-legacy.eps" )
os.system( "epstopdf --autorotate All bi-ellpack-vs-bi-ellpack-legacy.eps" ) os.system( "epstopdf --autorotate All bi-ellpack-vs-bi-ellpack-legacy.eps" )
print( "Deleting temprary files..." ) print( "Deleting temprary files..." )
os.system( "rm cusparse.gplt" ) #os.system( "rm cusparse.gplt" )
os.system( "rm ellpack.gplt" ) #os.system( "rm ellpack.gplt" )
os.system( "rm sliced-ellpack.gplt" ) #os.system( "rm sliced-ellpack.gplt" )
os.system( "rm gnuplot.gplt" ) #os.system( "rm gnuplot.gplt" )
os.system( "rm ellpack-vs-cusparse.eps" ) #os.system( "rm ellpack-vs-cusparse.eps" )
os.system( "rm sliced-ellpack-vs-cusparse.eps" ) #os.system( "rm sliced-ellpack-vs-cusparse.eps" )
os.system( "rm chunked-ellpack-vs-cusparse.eps" ) #os.system( "rm chunked-ellpack-vs-cusparse.eps" )
os.system( "rm bi-ellpack-vs-cusparse.eps" ) #os.system( "rm bi-ellpack-vs-cusparse.eps" )
os.system( "rm ellpack-vs-ellpack-legacy.eps" ) #os.system( "rm ellpack-vs-ellpack-legacy.eps" )
os.system( "rm sliced-ellpack-vs-sliced-ellpack-legacy.eps" ) #os.system( "rm sliced-ellpack-vs-sliced-ellpack-legacy.eps" )
0% or .
You are about to add 0 people to the discussion. Proceed with caution.
Please register or to comment