Updated BLASFEO results in PerformanceSmall.md.

Details:
- Updated the BLASFEO performance graphs shown in PerformanceSmall.md
  using a new commit of BLASFEO (2c9f312); updated PerformanceSmall.md
  accordingly.
- Updated test/sup/octave/plot_l3sup_perf.m so that the .m files
  containing the mpnpkp results do not need to be preprocessed in order
  to plot half the problem size range (ie: up to 400 instead of the
  800 range of the other shape cases).
- Trivial updates to runme.m.

docs/PerformanceSmall.md

@@ -112,14 +112,14 @@ size of interest so that we can better assist you.
   * single-core: 57.6 GFLOPS (double-precision), 115.2 GFLOPS (single-precision)
 * Operating system: Gentoo Linux (Linux kernel 5.0.7)
 * Compiler: gcc 7.3.0
-* Results gathered: 31 May 2019, 3 June 2019
+* Results gathered: 31 May 2019, 3 June 2019, 19 June 2019
 * Implementations tested:
   * BLIS 6bf449c (0.5.2-42)
     * configured with `./configure --enable-cblas auto`
     * sub-configuration exercised: `haswell`
   * OpenBLAS 0.3.6
     * configured `Makefile.rule` with `BINARY=64 NO_LAPACK=1 NO_LAPACKE=1 USE_THREAD=0` (single-threaded)
-  * BLASFEO 75a3dd8
+  * BLASFEO 2c9f312
     * configured `Makefile.rule` with: `BLAS_API=1 FORTRAN_BLAS_API=1 CBLAS_API=1`.
   * Eigen 3.3.90
     * Obtained via the [Eigen git mirror](https://github.com/eigenteam/eigen-git-mirror) (30 May 2019)
@@ -172,14 +172,14 @@ size of interest so that we can better assist you.
   * single-core: 24 GFLOPS (double-precision), 48 GFLOPS (single-precision)
 * Operating system: Ubuntu 18.04 (Linux kernel 4.15.0)
 * Compiler: gcc 7.3.0
-* Results gathered: 31 May 2019, 3 June 2019
+* Results gathered: 31 May 2019, 3 June 2019, 19 June 2019
 * Implementations tested:
   * BLIS 6bf449c (0.5.2-42)
     * configured with `./configure --enable-cblas auto`
     * sub-configuration exercised: `zen`
   * OpenBLAS 0.3.6
     * configured `Makefile.rule` with `BINARY=64 NO_LAPACK=1 NO_LAPACKE=1 USE_THREAD=0` (single-threaded)
-  * BLASFEO 75a3dd8
+  * BLASFEO 2c9f312
     * configured `Makefile.rule` with: `BLAS_API=1 FORTRAN_BLAS_API=1 CBLAS_API=1`.
   * Eigen 3.3.90
     * Obtained via the [Eigen git mirror](https://github.com/eigenteam/eigen-git-mirror) (30 May 2019)

test/sup/octave/plot_l3sup_perf.m

@@ -10,14 +10,14 @@ function r_val = plot_l3sup_perf( opname, ...
                                   cfreq, ...
                                   dfps, ...
                                   theid, impl )
-if ... %mod(theid-1,cols) == 2 || ...
-   ... %mod(theid-1,cols) == 3 || ...
-   ... %mod(theid-1,cols) == 4 || ...
-   0 == 1 ... %theid >= 19
-	show_plot = 0;
-else
+%if ... %mod(theid-1,cols) == 2 || ...
+%   ... %mod(theid-1,cols) == 3 || ...
+%   ... %mod(theid-1,cols) == 4 || ...
+%   0 == 1 ... %theid >= 19
+%	show_plot = 0;
+%else
 	show_plot = 1;
-end
+%end
 
 %legend_plot_id = 11;
 legend_plot_id = 1*cols + 1*5;
@@ -96,30 +96,39 @@ for psize_col = 1:3
 		break;
 	end
 end
-x_end = data_blissup( size( data_blissup, 1 ), psize_col );
-
 x_axis( :, 1 ) = data_blissup( :, psize_col );
 
+% Compute the number of data points we have in the x-axis. Note that
+% we only use half the data points for the m = n = k column of graphs.
+if mod(theid-1,cols) == 6
+	np = size( data_blissup, 1 ) / 2;
+else
+	np = size( data_blissup, 1 );
+end
+
+% Grab the last x-axis value.
+x_end = data_blissup( np, psize_col );
+
 %data_peak( 1, 1:2 ) = [     0 max_perf_core ];
 %data_peak( 2, 1:2 ) = [ x_end max_perf_core ];
 
 if show_plot == 1
-blissup_ln  = line( x_axis( :, 1 ), data_blissup( :, flopscol ) / nth, ...
+blissup_ln  = line( x_axis( 1:np, 1 ), data_blissup( 1:np, flopscol ) / nth, ...
                     'Color',color_blissup, 'LineStyle',lines_blissup, ...
                     'LineWidth',linesize );
-blislpab_ln = line( x_axis( :, 1 ), data_blislpab( :, flopscol ) / nth, ...
+blislpab_ln = line( x_axis( 1:np, 1 ), data_blislpab( 1:np, flopscol ) / nth, ...
                     'Color',color_blislpab, 'LineStyle',lines_blislpab, ...
                     'LineWidth',linesize );
-eigen_ln    = line( x_axis( :, 1 ), data_eigen( :, flopscol ) / nth, ...
+eigen_ln    = line( x_axis( 1:np, 1 ), data_eigen( 1:np, flopscol ) / nth, ...
                     'Color',color_eigen, 'LineStyle',lines_eigen, ...
                     'LineWidth',linesize );
-open_ln     = line( x_axis( :, 1 ), data_open( :, flopscol ) / nth, ...
+open_ln     = line( x_axis( 1:np, 1 ), data_open( 1:np, flopscol ) / nth, ...
                     'Color',color_open, 'LineStyle',lines_open, ...
                     'LineWidth',linesize );
-bfeo_ln     = line( x_axis( :, 1 ), data_bfeo( :, flopscol ) / nth, ...
+bfeo_ln     = line( x_axis( 1:np, 1 ), data_bfeo( 1:np, flopscol ) / nth, ...
                     'Color',color_bfeo, 'LineStyle',lines_bfeo, ...
                     'LineWidth',linesize );
-vend_ln     = line( x_axis( :, 1 ), data_vend( :, flopscol ) / nth, ...
+vend_ln     = line( x_axis( 1:np, 1 ), data_vend( 1:np, flopscol ) / nth, ...
                     'Color',color_vend, 'LineStyle',lines_vend, ...
                     'LineWidth',linesize );
 else

test/sup/octave/runme.m

@@ -1,8 +1,8 @@
 
 % kabylake
-plot_panel_trxsh(3.6,16,1,'st','d','rrr',[ 6 8 4 ],'../results/kabylake/20190531/4_800_4_mt201_last400','kbl','MKL','matlab'); close; clear all;
-plot_panel_trxsh(3.6,16,1,'st','d','ccc',[ 6 8 4 ],'../results/kabylake/20190531/4_800_4_mt201_last400','kbl','MKL','matlab'); close; clear all;
+plot_panel_trxsh(3.8,16,1,'st','d','rrr',[ 6 8 4 ],'../results/kabylake/20190619/4_800_4_mt201','kbl','MKL','matlab'); close; clear all;
+plot_panel_trxsh(3.8,16,1,'st','d','ccc',[ 6 8 4 ],'../results/kabylake/20190619/4_800_4_mt201','kbl','MKL','matlab'); close; clear all;
 
 % epyc
-plot_panel_trxsh(3.0,8,1,'st','d','rrr',[ 6 8 4 ],'../results/epyc/20190531/4_800_4_mt256_last400','epyc','MKL','matlab'); close; clear all;
-plot_panel_trxsh(3.0,8,1,'st','d','ccc',[ 6 8 4 ],'../results/epyc/20190531/4_800_4_mt256_last400','epyc','MKL','matlab'); close; clear all;
+plot_panel_trxsh(3.0,8,1,'st','d','rrr',[ 6 8 4 ],'../results/epyc/20190619/4_800_4_mt256','epyc','MKL','matlab'); close; clear all;
+plot_panel_trxsh(3.0,8,1,'st','d','ccc',[ 6 8 4 ],'../results/epyc/20190619/4_800_4_mt256','epyc','MKL','matlab'); close; clear all;