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igl/external/embree/kernels/algorithms/parallel_for.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_for.h"
namespace embree
{
struct parallel_for_regression_test : public RegressionTest
{
parallel_for_regression_test(const char* name) : name(name) {
registerRegressionTest(this);
}
bool operator() ()
{
bool passed = true;
printf("%s::%s ... ",TOSTRING(isa),name);
fflush(stdout);
const size_t M = 10;
for (size_t N=10; N<10000000; N*=2.1f)
{
/* sequentially calculate sum of squares */
size_t sum0 = 0;
for (size_t i=0; i<N; i++) {
sum0 += i*i;
}
/* parallel calculation of sum of squares */
double t0 = getSeconds();
for (size_t m=0; m<M; m++)
{
AtomicCounter sum1 = 0;
parallel_for( size_t(0), size_t(N), size_t(1024), [&](const range<size_t>& r)
{
size_t s = 0;
for (size_t i=r.begin(); i<r.end(); i++)
s += i*i;
sum1 += s;
});
passed = sum0 == sum1;
}
double t1 = getSeconds();
printf("%zu/%3.2fM ",N,1E-6*double(N*M)/(t1-t0));
}
/* output if test passed or not */
if (passed) printf("[passed]\n");
else printf("[failed]\n");
return passed;
}
const char* name;
};
parallel_for_regression_test parallel_for_regression("parallel_for_regression_test");
}