Stuff missing from the previous commit

src/sequential.cpp

@@ -10,88 +10,7 @@ namespace gi = GiNaC;
  *                              Big multiplication                             *
  *******************************************************************************/
 
-gi::ex multiply_seq( tensor3D_t& T, matrix_int_t& J, int size ) {  // simpler: same dimension everywhere
-
-    gi::ex Tens = 0;
-	int a1, a2, a3, b1, b2, b3, c1, c2, c3, d1, d2, d3;
-    gi::ex TAB, TABB, TABC, TABCC, TABCD, TABCDD; 
-    gi::ex A;
-
- 	int i, j;
-    i = 0;
-    j = 0;
-    
-    const char timerA[] = "A";
-    const char timerB[] = "B";
-    const char timeradd[] = "add";
-    double timeA, timeB;
-    uint64_t t_start, t_end;
-
-    for( a1 = 0 ; a1 < size; a1++ ){
-		i=i+1; 
-        //  std::cout << "Tens: " << Tens << std::endl;
-        //	printf("i = %d\n", i); 
-		for( a2 = 0; a2 < size ; a2++ ){
-			j=j+1; 
-            //			printf("j = %d\n", j);
-			for( a3 = 0 ; a3 < size ; a3++ ){
-			    TAU_START( timerA );
-			    A = T[a1][a2][a3];
-			    /* Beyond this point, a2 and a3 are only used in the simplectic matrix */
-				for( b1 = 0 ; b1 < size ; b1++ ){
-					TAB = J[a1][b1]; 
-					for( b2 = 0 ; b2 < size ; b2++ ){
-						for( b3 = 0 ; b3 < size ; b3++ ){
-						  TAU_START( timerB );
-						  /* Beyond this point, b1 is not used anymore */
-							TABB =  TAB * A*T[b1][b2][b3];
-							for( c1 = 0 ; c1 < size ; c1++ ){
-								for( c2 = 0 ; c2 < size ; c2++ ){
-									TABC = TABB * J[a2][c2];
-									for( c3 = 0 ; c3 < size ; c3++ ){
-										TABCC = TABC * T[c1][c2][c3] * J[b3][c3] ; 
-										for( d1 = 0 ; d1 < size ; d1++ ){
-											TABCD = TABCC * J[c1][d1];
-											for( d2 = 0 ; d2 < size ; d2++ ){
-												TABCDD = TABCD * J[b2][d2];
-												for( d3 = 0 ; d3 < size ; d3++ ){
-												  TAU_START( timeradd );
-												  t_start = rdtsc();
-												  Tens = Tens + TABCDD * T[d1][d2][d3]*J[a3][d3];
-												  t_end = rdtsc();
-												  
-												  TAU_STOP( timeradd );
-#ifdef TAUPROF
-						    //                                                    std::cout << "add " << getTimeSpent( timeradd ) << " len " << Tens.nops() << std::endl;
-												  printf( "add %lf %lu len %d\n", getTimeSpent( timeradd ), t_end - t_start, Tens.nops() );
-
-						    //                                                    std::cout << Tens << std::endl;
-#endif // TAUPROF
-   												}
-											}
-										}
-									}
-								}
-							}
-							TAU_STOP( timerB );
-#ifdef TAUPROF
-							std::cout << "B " << getTimeSpent( timeradd ) << " len " << Tens.nops() << std::endl;
-#endif // TAUPROF
-						}
-					}
-				}
-				TAU_STOP( timerA );
-#ifdef TAUPROF
-				std::cout << "A " << getTimeSpent( timeradd ) << " len " << Tens.nops() << std::endl;
-#endif // TAUPROF
-			}
-		}
-    }
-    return Tens;
-}
-
-
-gi::ex multiply_seq2( tensor3D_t& T, matrix_int_t& J, int size ) { 
+gi::ex multiply_seq( tensor3D_t& T, matrix_int_t& J, int size ) { 
 
     gi::ex Tens = 0;
 	int a1, a2, a3, a4, a5, a6;

src/tensormatrix_mpi.cpp

@@ -127,8 +127,6 @@ int main( int argc, char** argv ){
 
     init_simplectic( J, N, N );
 
-    gi::ex Tpar2;
-
     /* Compute it in parallel */
     
     tv_start = getTime();