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igl/external/embree/kernels/algorithms/parallel_prefix_sum.cpp
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// ======================================================================== //
// Copyright 2009-2014 Intel Corporation //
// //
// Licensed under the Apache License, Version 2.0 (the "License"); //
// you may not use this file except in compliance with the License. //
// You may obtain a copy of the License at //
// //
// http://www.apache.org/licenses/LICENSE-2.0 //
// //
// Unless required by applicable law or agreed to in writing, software //
// distributed under the License is distributed on an "AS IS" BASIS, //
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. //
// See the License for the specific language governing permissions and //
// limitations under the License. //
// ======================================================================== //
#include "parallel_prefix_sum.h"
namespace embree
{
struct parallel_prefix_sum_regression_test : public RegressionTest
{
parallel_prefix_sum_regression_test(const char* name) : name(name) {
registerRegressionTest(this);
}
bool operator() ()
{
bool passed = true;
printf("%s::%s ... ",TOSTRING(isa),name);
fflush(stdout);
/* create vector with random numbers */
const size_t N = 100;
std::vector<size_t> array(N);
std::vector<atomic_t> prefix_sum(N);
for (size_t j=0; j<N; j++)
array[j] = rand() % 10;
/* dry run only counts */
ParallelPrefixSumState<size_t> state;
size_t S0 = parallel_prefix_sum( state, size_t(0), size_t(N), size_t(1024), size_t(0), [&](const range<size_t>& r, const size_t sum)
{
size_t s = 0;
for (size_t i=r.begin(); i<r.end(); i++)
s += array[i];
return s;
}, [](size_t v0, size_t v1) { return v0+v1; });
/* final run calculates prefix sum */
size_t S1 = parallel_prefix_sum( state, size_t(0), size_t(N), size_t(1024), size_t(0), [&](const range<size_t>& r, const size_t sum)
{
size_t s = 0;
for (size_t i=r.begin(); i<r.end(); i++) {
prefix_sum[i] = sum+s;
s += array[i];
}
return s;
}, [](size_t v0, size_t v1) { return v0+v1; });
/* check calculated prefix sum */
size_t sum=0;
for (size_t i=0; i<N; sum+=array[i++]) {
passed &= (prefix_sum[i] == sum);
}
passed &= (S0 == sum);
passed &= (S1 == sum);
/* output if test passed or not */
if (passed) printf("[passed]\n");
else printf("[failed]\n");
return passed;
}
const char* name;
};
parallel_prefix_sum_regression_test parallel_prefix_sum_regression("parallel_prefix_sum_regression_test");
}