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stencil_benchmarks/benchmarks_collection/unstructured/openmp/templates/nabla.j2
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| {# | ||
| Stencil Benchmarks | ||
| Copyright (c) 2017-2021, ETH Zurich and MeteoSwiss | ||
| All rights reserved. | ||
| Redistribution and use in source and binary forms, with or without | ||
| modification, are permitted provided that the following conditions are met: | ||
| 1. Redistributions of source code must retain the above copyright notice, | ||
| this list of conditions and the following disclaimer. | ||
| 2. 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. | ||
| 3. Neither the name of the copyright holder 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. | ||
| SPDX-License-Identifier: BSD-3-Clause | ||
| #} | ||
| {% extends "base.j2" %} | ||
|
|
||
| {% block kernel_invoke %} | ||
| #pragma omp parallel for collapse(2) | ||
| for (index_t eo = 0; eo < {{ (nedges + nproma - 1) // nproma }}; ++eo) | ||
| { | ||
| for (index_t k = 0; k < {{ nlevels }}; ++k) | ||
| { | ||
| #pragma omp simd {% if vector_size > 1 %}simdlen({{ vector_size }}){%- endif %} | ||
| for (index_t ei = 0; ei < {{ nproma }}; ++ei) { | ||
| index_t const edge = ei + {{ nproma }} * eo; | ||
| if (edge < {{ nedges }}) | ||
| { | ||
| index_t index = ei * {{ strides.zavg0[0] }} + eo * {{ strides.zavg0[1] }} + k * {{ strides.zavg0[2] }}; | ||
| index_t const edge_0 = e2v[edge * {{ strides.e2v[0] }} + 0 * {{ strides.e2v[1] }}]; | ||
| index_t const edge_1 = e2v[edge * {{ strides.e2v[0] }} + 1 * {{ strides.e2v[1] }}]; | ||
|
|
||
| index_t const pp_index_0 = edge_0 % {{ nproma }} * {{ strides.pp[0] }} + edge_0 / {{ nproma }} * {{ strides.pp[1] }} + k * {{ strides.pp[2] }}; | ||
| index_t const pp_index_1 = edge_1 % {{ nproma }} * {{ strides.pp[0] }} + edge_1 / {{ nproma }} * {{ strides.pp[1] }} + k * {{ strides.pp[2] }}; | ||
|
|
||
| {{ ctype }} sum = pp[pp_index_0] + pp[pp_index_1]; | ||
|
|
||
| zavg0[index] = sum / 2 * s0[index]; | ||
| zavg1[index] = sum / 2 * s1[index]; | ||
| } | ||
| } | ||
| } | ||
| } | ||
|
|
||
| #pragma omp parallel for collapse(2) | ||
| for (index_t vo = 0; vo < {{ (nvertices + nproma - 1) // nproma }}; ++vo) | ||
| { | ||
| for (index_t k = 0; k < {{ nlevels }}; ++k) | ||
| { | ||
|
|
||
| #pragma omp simd {% if vector_size > 1 %}simdlen({{ vector_size }}){%- endif %} | ||
| {%- if streaming_stores %} | ||
| #ifdef __INTEL_COMPILER | ||
| #pragma vector nontemporal | ||
| #endif | ||
| {%- endif %} | ||
| for (index_t vi = 0; vi < {{ nproma }}; ++vi) { | ||
| index_t const vertex = vi + {{ nproma }} * vo; | ||
| if (vertex < {{ nvertices }}) | ||
| { | ||
| {{ ctype }} sum0 = 0, sum1 = 0; | ||
| {%- for nb in range(v2e_max_neighbors) %} | ||
| { | ||
| index_t neighbor_edge = v2e[vertex * {{ strides.v2e[0] }} + {{ nb }} * {{ strides.v2e[1] }}]; | ||
| {%- if skip_values %} | ||
| if (neighbor_edge != -1) | ||
| {%- endif %} | ||
| { | ||
| index_t zavg_index = neighbor_edge % {{ nproma }} * {{ strides.zavg0[0] }} + neighbor_edge / {{ nproma }} * {{ strides.zavg0[1] }} + k * {{ strides.zavg0[2] }}; | ||
| index_t sign_index = neighbor_edge % {{ nproma }} * {{ strides.sign[0] }} + neighbor_edge / {{ nproma }} * {{ strides.sign[1] }}; | ||
| sum0 += zavg0[zavg_index] * sign[sign_index]; | ||
| sum1 += zavg1[zavg_index] * sign[sign_index]; | ||
| } | ||
| } | ||
| {%- endfor %} | ||
| index_t out_index = vi * {{ strides.out0[0] }} + vo * {{ strides.out0[1] }} + k * {{ strides.out0[2] }}; | ||
| index_t vol_index = vi * {{ strides.vol[0] }} + vo * {{ strides.vol[1] }}; | ||
| out0[out_index] = sum0 / vol[vol_index]; | ||
| out1[out_index] = sum1 / vol[vol_index]; | ||
| } | ||
| } | ||
| } | ||
| } | ||
| {% endblock kernel_invoke %} |