@@ -98,7 +98,8 @@ def visualize_matrix(result=None):
9898 plt_helper .newfig (textwidth = 120 , scale = 1.5 )
9999 cmap = plt_helper .plt .get_cmap ('RdYlGn_r' )
100100 new_cmap = truncate_colormap (cmap , 0.1 , 0.9 )
101- plt_helper .plt .imshow (mat .T , origin = 'lower' , norm = colors .LogNorm (vmin = tmin , vmax = tmax ), cmap = new_cmap , aspect = 'auto' )
101+ plt_helper .plt .imshow (mat .T , origin = 'lower' , norm = colors .LogNorm (vmin = tmin , vmax = tmax ), cmap = new_cmap ,
102+ aspect = 'auto' )
102103
103104 for key , item in result .items ():
104105 timing = "{:3.1f}" .format (item )
@@ -126,7 +127,7 @@ def visualize_speedup(result=None):
126127 result: dictionary containing the runtimes
127128 """
128129 process_list_MLSDC = [1 , 2 , 4 , 6 , 12 , 24 ]
129- process_list_PFASST = [24 , 48 , 96 , 144 , 288 , 576 ]
130+ process_list_PFASST = [24 , 48 , 96 , 144 , 288 ]
130131
131132 timing_MLSDC = np .zeros (len (process_list_MLSDC ))
132133 timing_PFASST = np .zeros ((len (process_list_PFASST )))
@@ -179,6 +180,7 @@ def main(cwd=''):
179180 files = ['data/result_MLSDC.dat' , 'data/result_PFASST_multinode_24.dat' ]
180181 for file in files :
181182 result = join_timings (file = file , result = result , cwd = cwd )
183+ result .pop ((24 , 24 ))
182184 visualize_speedup (result = result )
183185
184186
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