Use generic naming for naive_propagation(tmpU2, tmpV2, tmpU1, tmpV1, nbRow, nbCol,

src/cpp20/Sequential/GrayScott/Benchmark/main.cpp

@@ -31,11 +31,7 @@ void evaluateSaxpy(size_t nbElement){
 					1.0f, 1.0f, 1.0f,
 					1.0f, 1.0f, 1.0f};
 	
-	naive_propagation(tmpU2, tmpV2, tmpU1, tmpV1, nbRow, nbCol,
-					matDeltaSquare, nbStencilRow, nbStencilCol,
-					diffudionRateU, diffusionRateV, feedRate, killRate, dt);
-	
-	micro_benchmarkAutoNsPrint("evaluate GrayScott reaction", nbElement, naive_propagation, 
+	micro_benchmarkAutoNsPrint("evaluate GrayScott reaction", nbElement, grayscott_propagation, 
 					tmpU2, tmpV2, tmpU1, tmpV1, nbRow, nbCol,
 					matDeltaSquare, nbStencilRow, nbStencilCol,
 					diffudionRateU, diffusionRateV, feedRate, killRate, dt);

src/cpp20/Sequential/GrayScott/Naive/naive_propagation.cpp

@@ -24,7 +24,7 @@
  * 	@param killRate : rate of the process which converts V into P
  * 	@param dt : time interval between two steps
 */
-void naive_propagation(float * outMatU, float * outMatV, const float * matU, const float * matV, long nbRow, long nbCol,
+void grayscott_propagation(float * outMatU, float * outMatV, const float * matU, const float * matV, long nbRow, long nbCol,
 		       const float * matDeltaSquare, long nbStencilRow, long nbStencilCol,
 		       float diffudionRateU, float diffusionRateV, float feedRate, float killRate, float dt)
 {

src/cpp20/Sequential/GrayScott/Naive/naive_propagation.h

@@ -10,7 +10,7 @@
 #include <iostream>
 
 
-void naive_propagation(float * outMatU, float * outMatV, const float * matU, const float * matV, long nbRow, long nbCol,
+void grayscott_propagation(float * outMatU, float * outMatV, const float * matU, const float * matV, long nbRow, long nbCol,
 		       const float * matDeltaSquare, long nbStencilRow, long nbStencilCol,
 		       float diffudionRateU, float diffusionRateV, float feedRate, float killRate, float dt);
 

src/cpp20/Sequential/GrayScott/Program/main.cpp

@@ -79,7 +79,7 @@ bool simulateImage(size_t nbRow, size_t nbCol, size_t nbImage, size_t nbExtraSte
 	for(size_t i(0lu); i < nbImage; ++i){
 		progress.print();
 		for(size_t j(0lu); j < nbExtraStep; ++j){
-			naive_propagation(tmpU2, tmpV2, tmpU1, tmpV1, nbRow, nbCol,
+			grayscott_propagation(tmpU2, tmpV2, tmpU1, tmpV1, nbRow, nbCol,
 					matDeltaSquare, nbStencilRow, nbStencilCol,
 					diffudionRateU, diffusionRateV, feedRate, killRate, dt);
 			fullMat.setRow(i, tmpV2);