/* BLIS An object-based framework for developing high-performance BLAS-like libraries. Copyright (C) 2014, The University of Texas at Austin Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: - Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. - Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. - Neither the name(s) of the copyright holder(s) nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. */ #include "blis.h" void bli_zaxpy2v_template_noopt ( conj_t conjx, conj_t conjy, dim_t n, dcomplex* restrict alpha1, dcomplex* restrict alpha2, dcomplex* restrict x, inc_t incx, dcomplex* restrict y, inc_t incy, dcomplex* restrict z, inc_t incz, cntx_t* cntx ) { /* Template axpy2v kernel implementation This function contains a template implementation for a double-precision complex kernel, coded in C, which can serve as the starting point for one to write an optimized kernel on an arbitrary architecture. (We show a template implementation for only double-precision complex because the templates for the other three floating-point types would be similar, with the real instantiations being noticeably simpler due to the disappearance of conjugation in the real domain.) This kernel fuses two axpyv operations: z := z + alpha1 * conjx( x ) z := z + alpha2 * conjy( y ) where x, y, and z are vectors of length n and alpha1 and alpha2 are scalars. Parameters: - conjx: Compute with conjugated values of x? - conjy: Compute with conjugated values of y? - n: The number of elements in vectors x, y, and z. - alpha1: The address of the scalar to be applied to x. - alpha2: The address of the scalar to be applied to y. - x: The address of vector x. - incx: The vector increment of x. incx should be unit unless the implementation makes special accomodation for non-unit values. - y: The address of vector y. - incy: The vector increment of y. incy should be unit unless the implementation makes special accomodation for non-unit values. - z: The address of vector z. - incz: The vector increment of z. incz should be unit unless the implementation makes special accomodation for non-unit values. This template code calls the reference implementation if any of the following conditions are true: - Any of the strides incx, incy, or incz is non-unit. - Vectors x, y, and z are unaligned with different offsets. If the vectors are aligned, or unaligned by the same offset, then optimized code can be used for the bulk of the computation. This template shows how the front-edge case can be handled so that the remaining computation is aligned. (This template guarantees alignment in the main loops to be BLIS_SIMD_ALIGN_SIZE.) Here are a few additional things to consider: - Because conjugation disappears in the real domain, real instances of this kernel can safely ignore the values of any conjugation parameters, thereby simplifying the implementation. For more info, please refer to the BLIS website and/or contact the blis-devel mailing list. -FGVZ */ const dim_t n_elem_per_reg = 1; const dim_t n_iter_unroll = 1; const dim_t n_elem_per_iter = n_elem_per_reg * n_iter_unroll; const siz_t type_size = sizeof( *x ); dcomplex* xp; dcomplex* yp; dcomplex* zp; bool use_ref = FALSE; dim_t n_pre = 0; dim_t n_iter; dim_t n_left; dim_t off_x, off_y, off_z; dim_t i; // Return early if possible. if ( bli_zero_dim1( n ) ) return; // If there is anything that would interfere with our use of aligned // vector loads/stores, call the reference implementation. if ( bli_has_nonunit_inc3( incx, incy, incz ) ) { use_ref = TRUE; } else if ( bli_is_unaligned_to( x, BLIS_SIMD_ALIGN_SIZE ) || bli_is_unaligned_to( y, BLIS_SIMD_ALIGN_SIZE ) || bli_is_unaligned_to( z, BLIS_SIMD_ALIGN_SIZE ) ) { use_ref = TRUE; // If a, the second column of a, and y are unaligned by the same // offset, then we can still use an implementation that depends on // alignment for most of the operation. off_x = bli_offset_from_alignment( x, BLIS_SIMD_ALIGN_SIZE ); off_y = bli_offset_from_alignment( y, BLIS_SIMD_ALIGN_SIZE ); off_z = bli_offset_from_alignment( z, BLIS_SIMD_ALIGN_SIZE ); if ( off_x == off_y && off_x == off_z ) { use_ref = FALSE; n_pre = off_x / type_size; } } // Call the reference implementation if needed. if ( use_ref == TRUE ) { zaxpy2v_ft f = bli_zaxpy2v_template_ref; f ( conjx, conjy, n, alpha1, alpha2, x, incx, y, incy, z, incz, cntx ); return; } // Compute the number of unrolled and leftover (edge) iterations. n_iter = ( n - n_pre ) / n_elem_per_iter; n_left = ( n - n_pre ) % n_elem_per_iter; // Initialize pointers into x, y, and z. xp = x; yp = y; zp = z; // Iterate over rows of x, y, and z to compute: // z += alpha1 * conjx( x ) + alpha2 * conjy( y ); if ( bli_is_noconj( conjx ) && bli_is_noconj( conjy ) ) { // Compute front edge cases if x, y, and z were unaligned. for ( i = 0; i < n_pre; ++i ) { bli_zaxpys( *alpha1, *xp, *zp ); bli_zaxpys( *alpha2, *yp, *zp ); xp += 1; yp += 1; zp += 1; } // The bulk of the operation is executed here. For best performance, // alpha1 and alpha2 should be loaded once prior to the n_iter // loop and the elements of z should be loaded and stored only once // each. The addresses xp, yp, and zp are guaranteed to be aligned // to BLIS_SIMD_ALIGN_SIZE. for ( i = 0; i < n_iter; ++i ) { bli_zaxpys( *alpha1, *xp, *zp ); bli_zaxpys( *alpha2, *yp, *zp ); xp += n_elem_per_iter; yp += n_elem_per_iter; zp += n_elem_per_iter; } // Compute tail edge cases, if applicable. for ( i = 0; i < n_left; ++i ) { bli_zaxpys( *alpha1, *xp, *zp ); bli_zaxpys( *alpha2, *yp, *zp ); xp += 1; yp += 1; zp += 1; } } else if ( bli_is_noconj( conjx ) && bli_is_conj( conjy ) ) { // Compute front edge cases if x, y, and z were unaligned. for ( i = 0; i < n_pre; ++i ) { bli_zaxpys( *alpha1, *xp, *zp ); bli_zaxpyjs( *alpha2, *yp, *zp ); xp += 1; yp += 1; zp += 1; } // The bulk of the operation is executed here. For best performance, // alpha1 and alpha2 should be loaded once prior to the n_iter // loop and the elements of z should be loaded and stored only once // each. The addresses xp, yp, and zp are guaranteed to be aligned // to BLIS_SIMD_ALIGN_SIZE. for ( i = 0; i < n_iter; ++i ) { bli_zaxpys( *alpha1, *xp, *zp ); bli_zaxpyjs( *alpha2, *yp, *zp ); xp += n_elem_per_iter; yp += n_elem_per_iter; zp += n_elem_per_iter; } // Compute tail edge cases, if applicable. for ( i = 0; i < n_left; ++i ) { bli_zaxpys( *alpha1, *xp, *zp ); bli_zaxpyjs( *alpha2, *yp, *zp ); xp += 1; yp += 1; zp += 1; } } else if ( bli_is_conj( conjx ) && bli_is_noconj( conjy ) ) { // Compute front edge cases if x, y, and z were unaligned. for ( i = 0; i < n_pre; ++i ) { bli_zaxpyjs( *alpha1, *xp, *zp ); bli_zaxpys( *alpha2, *yp, *zp ); xp += 1; yp += 1; zp += 1; } // The bulk of the operation is executed here. For best performance, // alpha1 and alpha2 should be loaded once prior to the n_iter // loop and the elements of z should be loaded and stored only once // each. The addresses xp, yp, and zp are guaranteed to be aligned // to BLIS_SIMD_ALIGN_SIZE. for ( i = 0; i < n_iter; ++i ) { bli_zaxpyjs( *alpha1, *xp, *zp ); bli_zaxpys( *alpha2, *yp, *zp ); xp += n_elem_per_iter; yp += n_elem_per_iter; zp += n_elem_per_iter; } // Compute tail edge cases, if applicable. for ( i = 0; i < n_left; ++i ) { bli_zaxpyjs( *alpha1, *xp, *zp ); bli_zaxpys( *alpha2, *yp, *zp ); xp += 1; yp += 1; zp += 1; } } else // if ( bli_is_conj( conjx ) && bli_is_conj( conjy ) ) { // Compute front edge cases if x, y, and z were unaligned. for ( i = 0; i < n_pre; ++i ) { bli_zaxpyjs( *alpha1, *xp, *zp ); bli_zaxpyjs( *alpha2, *yp, *zp ); xp += 1; yp += 1; zp += 1; } // The bulk of the operation is executed here. For best performance, // alpha1 and alpha2 should be loaded once prior to the n_iter // loop and the elements of z should be loaded and stored only once // each. The addresses xp, yp, and zp are guaranteed to be aligned // to BLIS_SIMD_ALIGN_SIZE. for ( i = 0; i < n_iter; ++i ) { bli_zaxpyjs( *alpha1, *xp, *zp ); bli_zaxpyjs( *alpha2, *yp, *zp ); xp += n_elem_per_iter; yp += n_elem_per_iter; zp += n_elem_per_iter; } // Compute tail edge cases, if applicable. for ( i = 0; i < n_left; ++i ) { bli_zaxpyjs( *alpha1, *xp, *zp ); bli_zaxpyjs( *alpha2, *yp, *zp ); xp += 1; yp += 1; zp += 1; } } }