GPU benchmark: added LB storage pattern to python callback

apps/benchmarks/UniformGridGPU/UniformGridGPU.cpp

@@ -332,9 +332,11 @@ int main( int argc, char **argv )
                   python_coupling::PythonCallback pythonCallbackResults( "results_callback" );
                   if ( pythonCallbackResults.isCallable())
                   {
+                      const char * storagePattern = "twofield";
                       pythonCallbackResults.data().exposeValue( "mlupsPerProcess", mlupsPerProcess );
                       pythonCallbackResults.data().exposeValue( "stencil", infoStencil );
                       pythonCallbackResults.data().exposeValue( "configName", infoConfigName );
+                      pythonCallbackResults.data().exposeValue( "storagePattern", storagePattern );
                       pythonCallbackResults.data().exposeValue( "cse_global", infoCseGlobal );
                       pythonCallbackResults.data().exposeValue( "cse_pdfs", infoCsePdfs );
                       // Call Python function to report results

apps/benchmarks/UniformGridGPU/UniformGridGPU_AA.cpp

@@ -267,9 +267,11 @@ int main( int argc, char **argv )
                     python_coupling::PythonCallback pythonCallbackResults( "results_callback" );
                     if ( pythonCallbackResults.isCallable())
                     {
+                        const char * storagePattern = "aa";
                         pythonCallbackResults.data().exposeValue( "mlupsPerProcess", mlupsPerProcess );
                         pythonCallbackResults.data().exposeValue( "stencil", infoStencil );
                         pythonCallbackResults.data().exposeValue( "configName", infoConfigName );
+                        pythonCallbackResults.data().exposeValue( "storagePattern", storagePattern );
                         pythonCallbackResults.data().exposeValue( "cse_global", infoCseGlobal );
                         pythonCallbackResults.data().exposeValue( "cse_pdfs", infoCsePdfs );
                         // Call Python function to report results

apps/benchmarks/UniformGridGPU/simulation_setup/overlap_benchmark.py

@@ -121,9 +121,7 @@ def generate_jobscripts(machine='pizdaint_hybrid',
                                  output_file='overlap_bench_{:04d}_%j.txt'.format(node_count),
                                  error_file='overlap_bench_{:04d}_%j.txt'.format(node_count),
                                  initial_dir=getcwd(),
-                                 #exe_name='UniformGridBenchmarkGPU',
-                                 #parameter_files=['overlap_benchmark.py'],
-                                 commands=list((exe, 'overlap_benchmark.py') for exe in exe_names),
+                                 commands=list(("./" + exe, 'overlap_benchmark.py') for exe in exe_names),
                                  wall_time=timedelta(minutes=25),
                                  machine=machine,
                                  account='d105',