/* 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. */ #ifdef BLIS_SANDBOX_POWER10 #include "vector_int_macros.h" #define B_ACCUMULATE \ __builtin_mma_xvbf16ger2pp (&acc0, ca[0], rb[0]); \ __builtin_mma_xvbf16ger2pp (&acc1, ca[0], rb[1]); \ __builtin_mma_xvbf16ger2pp (&acc2, ca[0], rb[2]); \ __builtin_mma_xvbf16ger2pp (&acc3, ca[0], rb[3]); \ __builtin_mma_xvbf16ger2pp (&acc4, ca[1], rb[0]); \ __builtin_mma_xvbf16ger2pp (&acc5, ca[1], rb[1]); \ __builtin_mma_xvbf16ger2pp (&acc6, ca[1], rb[2]); \ __builtin_mma_xvbf16ger2pp (&acc7, ca[1], rb[3]); #define B_INCREMENT \ A0+=16; \ B0+=32; #define B_AB_PRODUCT \ LOAD_VECTORS \ B_INCREMENT \ B_ACCUMULATE void bli_sbgemm_power10_mma_8x16 ( dim_t m, dim_t n, dim_t k, //const float* alpha, //const bfloat16* a, //const bfloat16* b, //const float* beta, // float* c, inc_t rs_c0, inc_t cs_c0, const void* alpha, const void* a, const void* b, const void* beta, void* c, inc_t rs_c0, inc_t cs_c0, auxinfo_t* data, const cntx_t* cntx ) { uint64_t k_iter = (k-1)/4; uint64_t k_left = (k-1)%4; uint64_t rs_c = rs_c0; //uint64_t cs_c = cs_c0; const bfloat16* restrict A0 = a; const bfloat16* restrict B0 = b; float* restrict C0 = c; float alpha_= *((float*)alpha), beta_ = *((float*)beta); fv4sf_t result[4]; fv4sf_t *rowC; // accumulators that will hold the matrix product __vector_quad acc0, acc1, acc2, acc3, acc4, acc5, acc6, acc7; vec_t *ca = (vec_t *) A0; vec_t *rb = (vec_t *) B0; __builtin_mma_xvbf16ger2 (&acc0, ca[0], rb[0]); __builtin_mma_xvbf16ger2 (&acc1, ca[0], rb[1]); __builtin_mma_xvbf16ger2 (&acc2, ca[0], rb[2]); __builtin_mma_xvbf16ger2 (&acc3, ca[0], rb[3]); __builtin_mma_xvbf16ger2 (&acc4, ca[1], rb[0]); __builtin_mma_xvbf16ger2 (&acc5, ca[1], rb[1]); __builtin_mma_xvbf16ger2 (&acc6, ca[1], rb[2]); __builtin_mma_xvbf16ger2 (&acc7, ca[1], rb[3]); B_INCREMENT // k loop for (int k = 0; k