int main(int argc, char *argv[])
{
int
m_input, k_input,
m, k,
p_first, p_last, p_inc,
p,
nb_alg,
n_repeats,
variant,
i, j,
datatype,
n_variants = N_VARIANTS;
char *colors = "brkgmcbrkg";
char *ticks = "o+*xso+*xs";
char m_dim_desc[14];
char k_dim_desc[14];
char m_dim_tag[10];
char k_dim_tag[10];
double max_gflops=6.0;
double
dtime,
gflops,
diff,
d_n;
FLA_Obj
A, B, C, C_ref;
/* Initialize FLAME */
FLA_Init( );
fprintf( stdout, "%c number of repeats:", '%' );
scanf( "%d", &n_repeats );
fprintf( stdout, "%c %d\n", '%', n_repeats );
fprintf( stdout, "%c Enter blocking size:", '%' );
scanf( "%d", &nb_alg );
fprintf( stdout, "%c %d\n", '%', nb_alg );
fprintf( stdout, "%c enter problem size first, last, inc:", '%' );
scanf( "%d%d%d", &p_first, &p_last, &p_inc );
fprintf( stdout, "%c %d %d %d\n", '%', p_first, p_last, p_inc );
fprintf( stdout, "%c enter m k (-1 means bind to problem size): ", '%' );
scanf( "%d%d", &m_input, &k_input );
fprintf( stdout, "%c %d %d\n", '%', m_input, k_input );
/* Delete all existing data structures */
fprintf( stdout, "\nclear all;\n\n" );
if ( m_input > 0 ) {
sprintf( m_dim_desc, "m = %d", m_input );
sprintf( m_dim_tag, "m%dc", m_input);
}
else if( m_input < -1 ) {
sprintf( m_dim_desc, "m = p/%d", -m_input );
sprintf( m_dim_tag, "m%dp", -m_input );
}
else if( m_input == -1 ) {
sprintf( m_dim_desc, "m = p" );
sprintf( m_dim_tag, "m%dp", 1 );
}
if ( k_input > 0 ) {
sprintf( k_dim_desc, "k = %d", k_input );
sprintf( k_dim_tag, "k%dc", k_input);
}
else if( k_input < -1 ) {
sprintf( k_dim_desc, "k = p/%d", -k_input );
sprintf( k_dim_tag, "k%dp", -k_input );
}
else if( k_input == -1 ) {
sprintf( k_dim_desc, "k = p" );
sprintf( k_dim_tag, "k%dp", 1 );
}
for ( p = p_first, i = 1; p <= p_last; p += p_inc, i += 1 )
{
m = m_input;
k = k_input;
if( m < 0 ) m = p / f2c_abs(m_input);
if( k < 0 ) k = p / f2c_abs(k_input);
//datatype = FLA_COMPLEX;
datatype = FLA_DOUBLE_COMPLEX;
/* Allocate space for the matrices */
FLA_Obj_create( datatype, m, k, &A );
FLA_Obj_create( datatype, m, k, &B );
FLA_Obj_create( datatype, m, m, &C );
FLA_Obj_create( datatype, m, m, &C_ref );
/* Generate random matrices A, C */
FLA_Random_matrix( A );
FLA_Random_matrix( B );
FLA_Random_herm_matrix( FLA_UPPER_TRIANGULAR, C );
FLA_Copy_external( C, C_ref );
/* Time the reference implementation */
time_Her2k_un( 0, FLA_ALG_REFERENCE, n_repeats, p, nb_alg,
A, B, C, C_ref, &dtime, &diff, &gflops );
fprintf( stdout, "data_REF( %d, 1:2 ) = [ %d %6.3lf ]; \n", i, p, gflops );
fflush( stdout );
for ( variant = 1; variant <= n_variants; variant++ ){
fprintf( stdout, "data_var%d( %d, 1:5 ) = [ %d ", variant, i, p );
fflush( stdout );
time_Her2k_un( variant, FLA_ALG_UNBLOCKED, n_repeats, p, nb_alg,
A, B, C, C_ref, &dtime, &diff, &gflops );
fprintf( stdout, "%6.3lf %6.2le ", gflops, diff );
fflush( stdout );
time_Her2k_un( variant, FLA_ALG_BLOCKED, n_repeats, p, nb_alg,
A, B, C, C_ref, &dtime, &diff, &gflops );
fprintf( stdout, "%6.3lf %6.2le ", gflops, diff );
fflush( stdout );
fprintf( stdout, " ]; \n" );
fflush( stdout );
}
fprintf( stdout, "\n" );
FLA_Obj_free( &A );
FLA_Obj_free( &B );
FLA_Obj_free( &C );
FLA_Obj_free( &C_ref );
}
/* Print the MATLAB commands to plot the data */
/* Delete all existing figures */
fprintf( stdout, "figure;\n" );
/* Plot the performance of the reference implementation */
fprintf( stdout, "plot( data_REF( :,1 ), data_REF( :, 2 ), '-' ); \n" );
/* Indicate that you want to add to the existing plot */
fprintf( stdout, "hold on;\n" );
/* Plot the data for the other numbers of threads */
for ( i = 1; i <= n_variants; i++ ){
fprintf( stdout, "plot( data_var%d( :,1 ), data_var%d( :, 2 ), '%c:%c' ); \n",
i, i, colors[ i-1 ], ticks[ i-1 ] );
fprintf( stdout, "plot( data_var%d( :,1 ), data_var%d( :, 4 ), '%c-.%c' ); \n",
i, i, colors[ i-1 ], ticks[ i-1 ] );
}
fprintf( stdout, "legend( ... \n" );
fprintf( stdout, "'Reference', ... \n" );
for ( i = 1; i < n_variants; i++ )
fprintf( stdout, "'unb\\_var%d', 'blk\\_var%d', ... \n", i, i );
i = n_variants;
fprintf( stdout, "'unb\\_var%d', 'blk\\_var%d' ); \n", i, i );
fprintf( stdout, "xlabel( 'problem size p' );\n" );
fprintf( stdout, "ylabel( 'GFLOPS/sec.' );\n" );
fprintf( stdout, "axis( [ 0 %d 0 %.2f ] ); \n", p_last, max_gflops );
fprintf( stdout, "title( 'FLAME her2k\\_un performance (%s, %s)' );\n",
m_dim_desc, k_dim_desc );
fprintf( stdout, "print -depsc her2k_un_%s_%s.eps\n", m_dim_tag, k_dim_tag );
fprintf( stdout, "hold off;\n");
fflush( stdout );
FLA_Finalize( );
}
void libfla_test_hemm_experiment( test_params_t params,
unsigned int var,
char* sc_str,
FLA_Datatype datatype,
unsigned int p_cur,
unsigned int pci,
unsigned int n_repeats,
signed int impl,
double* perf,
double* residual )
{
dim_t b_flash = params.b_flash;
dim_t b_alg_flat = params.b_alg_flat;
double time_min = 1e9;
double time;
unsigned int i;
unsigned int m;
signed int m_input = -2;
unsigned int n;
signed int n_input = -1;
FLA_Side side;
FLA_Uplo uplo;
FLA_Obj A, B, C, x, y, z, w, norm;
FLA_Obj alpha, beta;
FLA_Obj C_save;
FLA_Obj A_test, B_test, C_test;
// Determine the dimensions.
if ( m_input < 0 ) m = p_cur / abs(m_input);
else m = p_cur;
if ( n_input < 0 ) n = p_cur / abs(n_input);
else n = p_cur;
// Translate parameter characters to libflame constants.
FLA_Param_map_char_to_flame_side( &pc_str[pci][0], &side );
FLA_Param_map_char_to_flame_uplo( &pc_str[pci][1], &uplo );
// Create the matrices for the current operation.
if ( side == FLA_LEFT )
{
libfla_test_obj_create( datatype, FLA_NO_TRANSPOSE, sc_str[0], m, m, &A );
// Create vectors for use in test.
FLA_Obj_create( datatype, n, 1, 0, 0, &x );
FLA_Obj_create( datatype, m, 1, 0, 0, &y );
FLA_Obj_create( datatype, m, 1, 0, 0, &z );
FLA_Obj_create( datatype, m, 1, 0, 0, &w );
}
else
{
libfla_test_obj_create( datatype, FLA_NO_TRANSPOSE, sc_str[0], n, n, &A );
// Create vectors for use in test.
FLA_Obj_create( datatype, n, 1, 0, 0, &x );
FLA_Obj_create( datatype, m, 1, 0, 0, &y );
FLA_Obj_create( datatype, m, 1, 0, 0, &z );
FLA_Obj_create( datatype, n, 1, 0, 0, &w );
}
libfla_test_obj_create( datatype, FLA_NO_TRANSPOSE, sc_str[1], m, n, &B );
libfla_test_obj_create( datatype, FLA_NO_TRANSPOSE, sc_str[2], m, n, &C );
// Create a norm scalar.
FLA_Obj_create( FLA_Obj_datatype_proj_to_real( A ), 1, 1, 0, 0, &norm );
// Initialize the test matrices.
FLA_Random_herm_matrix( uplo, A );
FLA_Random_matrix( B );
FLA_Random_matrix( C );
// Initialize the test vectors.
FLA_Random_matrix( x );
FLA_Set( FLA_ZERO, y );
FLA_Set( FLA_ZERO, z );
FLA_Set( FLA_ZERO, w );
// Set constants.
alpha = FLA_TWO;
beta = FLA_MINUS_ONE;
// Save the original object contents in a temporary object.
FLA_Obj_create_copy_of( FLA_NO_TRANSPOSE, C, &C_save );
// Use hierarchical matrices if we're testing the FLASH front-end.
if ( impl == FLA_TEST_HIER_FRONT_END )
{
FLASH_Obj_create_hier_copy_of_flat( A, 1, &b_flash, &A_test );
FLASH_Obj_create_hier_copy_of_flat( B, 1, &b_flash, &B_test );
FLASH_Obj_create_hier_copy_of_flat( C, 1, &b_flash, &C_test );
}
else
{
A_test = A;
B_test = B;
C_test = C;
}
// Create a control tree for the individual variants.
if ( impl == FLA_TEST_FLAT_UNB_VAR ||
impl == FLA_TEST_FLAT_OPT_VAR ||
impl == FLA_TEST_FLAT_BLK_VAR ||
impl == FLA_TEST_FLAT_UNB_EXT ||
impl == FLA_TEST_FLAT_BLK_EXT )
libfla_test_hemm_cntl_create( var, b_alg_flat );
// Repeat the experiment n_repeats times and record results.
for ( i = 0; i < n_repeats; ++i )
{
if ( impl == FLA_TEST_HIER_FRONT_END )
FLASH_Obj_hierarchify( C_save, C_test );
else
FLA_Copy_external( C_save, C_test );
time = FLA_Clock();
libfla_test_hemm_impl( impl, side, uplo, alpha, A_test, B_test, beta, C_test );
time = FLA_Clock() - time;
time_min = min( time_min, time );
}
// Copy the solution to flat matrix X.
if ( impl == FLA_TEST_HIER_FRONT_END )
{
FLASH_Obj_flatten( C_test, C );
}
else
{
// No action needed since C_test and C refer to the same object.
}
// Free the hierarchical matrices if we're testing the FLASH front-end.
if ( impl == FLA_TEST_HIER_FRONT_END )
{
FLASH_Obj_free( &A_test );
FLASH_Obj_free( &B_test );
FLASH_Obj_free( &C_test );
}
// Free the control trees if we're testing the variants.
if ( impl == FLA_TEST_FLAT_UNB_VAR ||
impl == FLA_TEST_FLAT_OPT_VAR ||
impl == FLA_TEST_FLAT_BLK_VAR ||
impl == FLA_TEST_FLAT_UNB_EXT ||
impl == FLA_TEST_FLAT_BLK_EXT )
libfla_test_hemm_cntl_free();
// Compute the performance of the best experiment repeat.
if ( side == FLA_LEFT )
*perf = ( 1 * m * m * n ) / time_min / FLOPS_PER_UNIT_PERF;
else
*perf = ( 1 * m * n * n ) / time_min / FLOPS_PER_UNIT_PERF;
if ( FLA_Obj_is_complex( A ) ) *perf *= 4.0;
// Compute:
// y = C * x
// and compare to
// z = ( beta * C_orig + alpha * A * B ) x (side = left)
// z = ( beta * C_orig + alpha * B * A ) x (side = right)
FLA_Gemv_external( FLA_NO_TRANSPOSE, FLA_ONE, C, x, FLA_ZERO, y );
if ( side == FLA_LEFT )
{
FLA_Gemv_external( FLA_NO_TRANSPOSE, FLA_ONE, B, x, FLA_ZERO, w );
FLA_Hemv_external( uplo, alpha, A, w, FLA_ZERO, z );
}
else
{
FLA_Hemv_external( uplo, FLA_ONE, A, x, FLA_ZERO, w );
FLA_Gemv_external( FLA_NO_TRANSPOSE, alpha, B, w, FLA_ZERO, z );
}
FLA_Gemv_external( FLA_NO_TRANSPOSE, beta, C_save, x, FLA_ONE, z );
// Compute || y - z ||.
//FLA_Axpy_external( FLA_MINUS_ONE, y, z );
//FLA_Nrm2_external( z, norm );
//FLA_Obj_extract_real_scalar( norm, residual );
*residual = FLA_Max_elemwise_diff( y, z );
// Free the supporting flat objects.
FLA_Obj_free( &C_save );
// Free the flat test matrices.
FLA_Obj_free( &A );
FLA_Obj_free( &B );
FLA_Obj_free( &C );
FLA_Obj_free( &x );
FLA_Obj_free( &y );
FLA_Obj_free( &z );
FLA_Obj_free( &w );
FLA_Obj_free( &norm );
}
