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Merge branch 'utils_cleanup' into 'master'
Utility functions for multithreading See merge request jschoeberl/netgen!192
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cfa4777318
@ -1016,6 +1016,67 @@ public:
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#endif // USE_NUMA
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// Helper function to calculate coloring of a set of indices for parallel processing of independent elements/points/etc.
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// Assigns a color to each of colors.Size() elements, such that two elements with the same color don't share a common 'dof',
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// the mapping from element to dofs is provided by the function getDofs(int) -> iterable<int>
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//
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// Returns the number of used colors
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template <typename Tmask>
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int ComputeColoring( FlatArray<int> colors, size_t ndofs, Tmask const & getDofs)
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{
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static_assert(sizeof(unsigned int)==4, "Adapt type of mask array");
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auto n = colors.Size();
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Array<unsigned int> mask(ndofs);
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int colored_blocks = 0;
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// We are coloring with 32 colors at once and use each bit to mask conflicts
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unsigned int check = 0;
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unsigned int checkbit = 0;
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int current_color = 0;
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colors = -1;
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int maxcolor = 0;
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while(colored_blocks<n)
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{
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mask = 0;
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for (auto i : Range(n) )
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{
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if(colors[i]>-1) continue;
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check = 0;
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const auto & dofs = getDofs(i);
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// Check if adjacent dofs are already marked by current color
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for (auto dof : dofs)
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check|=mask[dof];
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// Did we find a free color?
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if(check != 0xFFFFFFFF)
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{
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checkbit = 1;
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int color = current_color;
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// find the actual color, which is free (out of 32)
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while (check & checkbit)
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{
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color++;
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checkbit *= 2;
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}
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colors[i] = color;
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maxcolor = color > maxcolor ? color : maxcolor;
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colored_blocks++;
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// mask all adjacent dofs with the found color
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for (auto dof : dofs)
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mask[dof] |= checkbit;
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}
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}
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current_color+=32;
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}
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return maxcolor+1;
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}
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}
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@ -1,6 +1,7 @@
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#ifndef NETGEN_CORE_UTILS_HPP
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#define NETGEN_CORE_UTILS_HPP
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#include <atomic>
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#include <chrono>
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#include <map>
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#include <ostream>
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@ -119,6 +120,41 @@ namespace ngcore
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return std::equal(end.rbegin(), end.rend(), str.rbegin());
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}
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template<typename T>
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NETGEN_INLINE std::atomic<T> & AsAtomic (T & d)
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{
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return reinterpret_cast<std::atomic<T>&> (d);
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}
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NETGEN_INLINE double AtomicAdd( double & sum, double val )
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{
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std::atomic<double> & asum = AsAtomic(sum);
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double current = asum.load();
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while (!asum.compare_exchange_weak(current, current + val))
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;
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return current;
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}
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template<typename T>
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NETGEN_INLINE T AtomicMin( T & minval, T val )
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{
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std::atomic<T> & aminval = AsAtomic(minval);
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T current = aminval.load();
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while (!aminval.compare_exchange_weak(current, std::min(current, val)))
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;
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return current;
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}
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template<typename T>
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NETGEN_INLINE T AtomicMax( T & maxval, T val )
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{
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std::atomic<T> & amaxval = AsAtomic(maxval);
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T current = amaxval.load();
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while (!amaxval.compare_exchange_weak(current, std::max(current, val)))
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;
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return current;
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}
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} // namespace ngcore
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#endif // NETGEN_CORE_UTILS_HPP
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@ -27,6 +27,7 @@ endmacro()
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add_unit_test(archive archive.cpp)
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add_unit_test(symboltable symboltable.cpp)
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add_unit_test(utils utils.cpp)
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add_unit_test(version version.cpp)
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endif(ENABLE_UNIT_TESTS)
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67
tests/catch/utils.cpp
Normal file
67
tests/catch/utils.cpp
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@ -0,0 +1,67 @@
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#include "catch.hpp"
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#include <core/ngcore.hpp>
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using namespace ngcore;
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using namespace std;
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long shuffle(long N, long i) {
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// Shuffle the numbers using multiplication with a prime number to force many updates of min, max
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constexpr long P = 101;
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return (N/2 + i*P) % N;
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}
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void testThreading(int n_threads)
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{
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TaskManager::SetNumThreads(n_threads);
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n_threads = EnterTaskManager();
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constexpr long N = 100000;
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SECTION( "atomic operations" ) {
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long i_min = 2*N;
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long i_max = 0;
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long i_sum = 0;
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double d_min = 1e100;
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double d_max = 0.0;
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double d_sum = 0.0;
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ParallelFor( Range(N), [&] (long i) {
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AtomicMin(i_min, shuffle(N,i));
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});
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REQUIRE( i_min==0 );
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ParallelFor( Range(N), [&] (long i) {
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AtomicMax(i_max, shuffle(N,i));
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});
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REQUIRE( i_max==N-1 );
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ParallelFor( Range(N), [&] (long i) {
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AsAtomic(i_sum) += i;
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});
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REQUIRE( i_sum==N*(N-1)/2 );
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ParallelFor( Range(N), [&] (double i) {
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AtomicMin(d_min, static_cast<double>(shuffle(N,i)));
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});
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REQUIRE( d_min==0 );
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ParallelFor( Range(N), [&] (double i) {
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AtomicMax(d_max, static_cast<double>(shuffle(N,i)));
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});
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REQUIRE( d_max==N-1 );
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ParallelFor( Range(N), [&] (double i) {
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AtomicAdd(d_sum, i);
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});
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REQUIRE( d_sum==N*(N-1)/2 );
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}
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ExitTaskManager(n_threads);
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}
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TEST_CASE("Threading - 1 Thread") { testThreading(1); }
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TEST_CASE("Threading - 2 Thread") { testThreading(2); }
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TEST_CASE("Threading - 8 Thread") { testThreading(8); }
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