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Generalize parallel GEMM implementation in Core to work with ThreadPool in addition to OpenMP.
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@ -349,6 +349,9 @@ using std::ptrdiff_t;
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#include "src/Core/TriangularMatrix.h"
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#include "src/Core/SelfAdjointView.h"
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#include "src/Core/products/GeneralBlockPanelKernel.h"
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#ifdef EIGEN_GEMM_THREADPOOL
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#include "ThreadPool"
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#endif
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#include "src/Core/products/Parallelizer.h"
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#include "src/Core/ProductEvaluators.h"
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#include "src/Core/products/GeneralMatrixVector.h"
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@ -84,12 +84,12 @@ static void run(Index rows, Index cols, Index depth,
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gemm_pack_rhs<RhsScalar, Index, RhsMapper, Traits::nr, RhsStorageOrder> pack_rhs;
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gebp_kernel<LhsScalar, RhsScalar, Index, ResMapper, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs> gebp;
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#ifdef EIGEN_HAS_OPENMP
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#if defined(EIGEN_HAS_OPENMP) || defined(EIGEN_GEMM_THREADPOOL)
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if(info)
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{
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// this is the parallel version!
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int tid = omp_get_thread_num();
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int threads = omp_get_num_threads();
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int tid = info->logical_thread_id;
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int threads = info->num_threads;
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LhsScalar* blockA = blocking.blockA();
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eigen_internal_assert(blockA!=0);
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@ -110,15 +110,15 @@ static void run(Index rows, Index cols, Index depth,
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// each thread packs the sub block A_k,i to A'_i where i is the thread id.
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// However, before copying to A'_i, we have to make sure that no other thread is still using it,
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// i.e., we test that info[tid].users equals 0.
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// Then, we set info[tid].users to the number of threads to mark that all other threads are going to use it.
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while(info[tid].users!=0) {}
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info[tid].users = threads;
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// i.e., we test that info->task_info[tid].users equals 0.
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// Then, we set info->task_info[tid].users to the number of threads to mark that all other threads are going to use it.
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while(info->task_info[tid].users!=0) {}
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info->task_info[tid].users = threads;
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pack_lhs(blockA+info[tid].lhs_start*actual_kc, lhs.getSubMapper(info[tid].lhs_start,k), actual_kc, info[tid].lhs_length);
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pack_lhs(blockA+info->task_info[tid].lhs_start*actual_kc, lhs.getSubMapper(info->task_info[tid].lhs_start,k), actual_kc, info->task_info[tid].lhs_length);
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// Notify the other threads that the part A'_i is ready to go.
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info[tid].sync = k;
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info->task_info[tid].sync = k;
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// Computes C_i += A' * B' per A'_i
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for(int shift=0; shift<threads; ++shift)
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@ -129,11 +129,10 @@ static void run(Index rows, Index cols, Index depth,
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// we use testAndSetOrdered to mimic a volatile access.
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// However, no need to wait for the B' part which has been updated by the current thread!
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if (shift>0) {
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while(info[i].sync!=k) {
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}
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while(info->task_info[i].sync!=k) {}
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}
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gebp(res.getSubMapper(info[i].lhs_start, 0), blockA+info[i].lhs_start*actual_kc, blockB, info[i].lhs_length, actual_kc, nc, alpha);
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gebp(res.getSubMapper(info->task_info[i].lhs_start, 0), blockA+info->task_info[i].lhs_start*actual_kc, blockB, info->task_info[i].lhs_length, actual_kc, nc, alpha);
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}
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// Then keep going as usual with the remaining B'
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@ -151,11 +150,11 @@ static void run(Index rows, Index cols, Index depth,
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// Release all the sub blocks A'_i of A' for the current thread,
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// i.e., we simply decrement the number of users by 1
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for(Index i=0; i<threads; ++i)
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info[i].users -= 1;
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info->task_info[i].users -= 1;
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}
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}
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else
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#endif // EIGEN_HAS_OPENMP
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#endif // defined(EIGEN_HAS_OPENMP) || defined(EIGEN_GEMM_THREADPOOL)
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{
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EIGEN_UNUSED_VARIABLE(info);
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@ -13,49 +13,41 @@
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// IWYU pragma: private
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#include "../InternalHeaderCheck.h"
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// Note that in the following, there are 3 different uses of the concept
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// "number of threads":
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// 1. Max number of threads used by OpenMP or ThreadPool.
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// * For OpenMP this is typically the value set by the OMP_NUM_THREADS
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// environment variable, or by a call to omp_set_num_threads() prior to
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// calling Eigen.
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// * For ThreadPool, this is the number of threads in the ThreadPool.
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// 2. Max number of threads currently allowed to be used by parallel Eigen
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// operations. This is set by setNbThreads(), and cannot exceed the value
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// in 1.
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// 3. The actual number of threads used for a given parallel Eigen operation.
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// This is typically computed on the fly using a cost model and cannot exceed
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// the value in 2.
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// * For OpenMP, this is typically the number of threads specified in individual
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// "omp parallel" pragmas associated with an Eigen operation.
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// * For ThreadPool, it is the number of concurrent tasks scheduled in the
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// threadpool for a given Eigen operation. Notice that since the threadpool
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// uses task stealing, there is no way to limit the number of concurrently
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// executing tasks to below the number in 1. except by limiting the total
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// number of tasks in flight.
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#if defined(EIGEN_HAS_OPENMP) && defined(EIGEN_GEMM_THREADPOOL)
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#error "EIGEN_HAS_OPENMP and EIGEN_GEMM_THREADPOOL may not both be defined."
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#endif
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namespace Eigen {
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namespace internal {
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/** \internal */
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inline void manage_multi_threading(Action action, int* v)
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{
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static int m_maxThreads = -1;
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EIGEN_UNUSED_VARIABLE(m_maxThreads)
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if(action==SetAction)
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{
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eigen_internal_assert(v!=0);
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m_maxThreads = *v;
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}
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else if(action==GetAction)
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{
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eigen_internal_assert(v!=0);
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#ifdef EIGEN_HAS_OPENMP
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if(m_maxThreads>0)
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*v = m_maxThreads;
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else
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*v = omp_get_max_threads();
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#else
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*v = 1;
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#endif
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}
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else
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{
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eigen_internal_assert(false);
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}
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inline void manage_multi_threading(Action action, int* v);
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}
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}
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// Public APIs.
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/** Must be call first when calling Eigen from multiple threads */
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inline void initParallel()
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{
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int nbt;
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internal::manage_multi_threading(GetAction, &nbt);
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std::ptrdiff_t l1, l2, l3;
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internal::manage_caching_sizes(GetAction, &l1, &l2, &l3);
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}
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EIGEN_DEPRECATED inline void initParallel() {}
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/** \returns the max number of threads reserved for Eigen
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* \sa setNbThreads */
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@ -73,42 +65,102 @@ inline void setNbThreads(int v)
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internal::manage_multi_threading(SetAction, &v);
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}
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namespace internal {
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#ifdef EIGEN_GEMM_THREADPOOL
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// Sets the ThreadPool used by Eigen parallel Gemm.
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//
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// NOTICE: This function has a known race condition with
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// parallelize_gemm below, and should not be called while
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// an instance of that function is running.
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//
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// TODO(rmlarsen): Make the device API available instead of
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// storing a local static pointer variable to avoid this issue.
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inline ThreadPool* setGemmThreadPool(ThreadPool* new_pool) {
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static ThreadPool* pool;
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if (new_pool != nullptr) {
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// This will wait for work in all threads in *pool to finish,
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// then destroy the old ThreadPool, and then replace it with new_pool.
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pool = new_pool;
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// Reset the number of threads to the number of threads on the new pool.
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setNbThreads(pool->NumThreads());
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}
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return pool;
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}
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template<typename Index> struct GemmParallelInfo
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{
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#ifdef EIGEN_HAS_OPENMP
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GemmParallelInfo() : sync(-1), users(0), lhs_start(0), lhs_length(0) {}
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std::atomic<Index> sync;
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std::atomic<int> users;
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#else
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GemmParallelInfo() : lhs_start(0), lhs_length(0) {}
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// Gets the ThreadPool used by Eigen parallel Gemm.
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inline ThreadPool* getGemmThreadPool() {
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return setGemmThreadPool(nullptr);
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}
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#endif
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namespace internal {
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// Implementation.
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#if defined(EIGEN_USE_BLAS) || (!defined(EIGEN_HAS_OPENMP) && !defined(EIGEN_GEMM_THREADPOOL))
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inline void manage_multi_threading(Action /*unused*/, int* /*unused*/) {}
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template<typename Index> struct GemmParallelInfo {};
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template <bool Condition, typename Functor, typename Index>
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EIGEN_STRONG_INLINE void parallelize_gemm(const Functor& func, Index rows, Index cols,
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Index /*unused*/, bool /*unused*/) {
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func(0,rows, 0,cols);
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}
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#else
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template<typename Index> struct GemmParallelTaskInfo {
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GemmParallelTaskInfo() : sync(-1), users(0), lhs_start(0), lhs_length(0) {}
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std::atomic<Index> sync;
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std::atomic<int> users;
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Index lhs_start;
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Index lhs_length;
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};
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template<bool Condition, typename Functor, typename Index>
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void parallelize_gemm(const Functor& func, Index rows, Index cols, Index depth, bool transpose)
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{
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// TODO when EIGEN_USE_BLAS is defined,
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// we should still enable OMP for other scalar types
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// Without C++11, we have to disable GEMM's parallelization on
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// non x86 architectures because there volatile is not enough for our purpose.
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// See bug 1572.
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#if (! defined(EIGEN_HAS_OPENMP)) || defined(EIGEN_USE_BLAS)
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// FIXME the transpose variable is only needed to properly split
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// the matrix product when multithreading is enabled. This is a temporary
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// fix to support row-major destination matrices. This whole
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// parallelizer mechanism has to be redesigned anyway.
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EIGEN_UNUSED_VARIABLE(depth);
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EIGEN_UNUSED_VARIABLE(transpose);
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func(0,rows, 0,cols);
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#else
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template<typename Index> struct GemmParallelInfo {
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const int logical_thread_id;
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const int num_threads;
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GemmParallelTaskInfo<Index>* task_info;
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// Dynamically check whether we should enable or disable OpenMP.
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GemmParallelInfo(int logical_thread_id_, int num_threads_,
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GemmParallelTaskInfo<Index>* task_info_)
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: logical_thread_id(logical_thread_id_),
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num_threads(num_threads_),
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task_info(task_info_) {}
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};
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inline void manage_multi_threading(Action action, int* v) {
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static int m_maxThreads = -1;
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if (action == SetAction) {
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eigen_internal_assert(v != nullptr);
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#if defined(EIGEN_HAS_OPENMP)
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// Calling action == SetAction and *v = 0 means
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// restoring m_maxThreads to the maximum number of threads specified
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// for OpenMP.
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eigen_internal_assert(*v >= 0);
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int omp_threads = omp_get_max_threads();
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m_maxThreads = (*v == 0 ? omp_threads : std::min(*v, omp_threads));
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#elif defined(EIGEN_GEMM_THREADPOOL)
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// Calling action == SetAction and *v = 0 means
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// restoring m_maxThreads to the number of threads in the ThreadPool,
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// which defaults to 1 if no pool was provided.
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eigen_internal_assert(*v >= 0);
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ThreadPool* pool = getGemmThreadPool();
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int pool_threads = pool != nullptr ? pool->NumThreads() : 1;
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m_maxThreads = (*v == 0 ? pool_threads : numext::mini(pool_threads, *v));
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#endif
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} else if (action == GetAction) {
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eigen_internal_assert(*v != nullptr);
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*v = m_maxThreads;
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} else {
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eigen_internal_assert(false);
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}
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}
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template <bool Condition, typename Functor, typename Index>
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EIGEN_STRONG_INLINE void parallelize_gemm(const Functor& func, Index rows, Index cols,
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Index depth, bool transpose) {
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// Dynamically check whether we should even try to execute in parallel.
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// The conditions are:
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// - the max number of threads we can create is greater than 1
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// - we are not already in a parallel code
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@ -126,27 +178,41 @@ void parallelize_gemm(const Functor& func, Index rows, Index cols, Index depth,
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pb_max_threads = std::max<Index>(1, std::min<Index>(pb_max_threads, static_cast<Index>( work / kMinTaskSize ) ));
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// compute the number of threads we are going to use
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Index threads = std::min<Index>(nbThreads(), pb_max_threads);
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int threads = std::min<int>(nbThreads(), pb_max_threads);
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// if multi-threading is explicitly disabled, not useful, or if we already are in a parallel session,
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// then abort multi-threading
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// FIXME omp_get_num_threads()>1 only works for openmp, what if the user does not use openmp?
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if((!Condition) || (threads==1) || (omp_get_num_threads()>1))
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// if multi-threading is explicitly disabled, not useful, or if we already are
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// inside a parallel session, then abort multi-threading
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bool dont_parallelize = (!Condition) || (threads<=1);
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#if defined(EIGEN_HAS_OPENMP)
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// don't parallelize if we are executing in a parallel context already.
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dont_parallelize |= omp_get_num_threads() > 1;
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#elif defined(EIGEN_GEMM_THREADPOOL)
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// don't parallelize if we have a trivial threadpool or the current thread id
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// is != -1, indicating that we are already executing on a thread inside the pool.
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// In other words, we do not allow nested parallelism, since this would lead to
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// deadlocks due to the workstealing nature of the threadpool.
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ThreadPool* pool = getGemmThreadPool();
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dont_parallelize |= (pool == nullptr || pool->CurrentThreadId() != -1);
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#endif
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if (dont_parallelize)
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return func(0,rows, 0,cols);
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Eigen::initParallel();
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func.initParallelSession(threads);
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if(transpose)
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std::swap(rows,cols);
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ei_declare_aligned_stack_constructed_variable(GemmParallelInfo<Index>,info,threads,0);
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ei_declare_aligned_stack_constructed_variable(GemmParallelTaskInfo<Index>,task_info,threads,0);
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#if defined(EIGEN_HAS_OPENMP)
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#pragma omp parallel num_threads(threads)
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{
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Index i = omp_get_thread_num();
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// Note that the actual number of threads might be lower than the number of request ones.
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// Note that the actual number of threads might be lower than the number of
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// requested ones
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Index actual_threads = omp_get_num_threads();
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GemmParallelInfo<Index> info(i, actual_threads, task_info);
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Index blockCols = (cols / actual_threads) & ~Index(0x3);
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Index blockRows = (rows / actual_threads);
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@ -158,17 +224,52 @@ void parallelize_gemm(const Functor& func, Index rows, Index cols, Index depth,
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Index c0 = i*blockCols;
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Index actualBlockCols = (i+1==actual_threads) ? cols-c0 : blockCols;
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info[i].lhs_start = r0;
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info[i].lhs_length = actualBlockRows;
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info.task_info[i].lhs_start = r0;
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info.task_info[i].lhs_length = actualBlockRows;
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if(transpose) func(c0, actualBlockCols, 0, rows, info);
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else func(0, rows, c0, actualBlockCols, info);
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if(transpose) func(c0, actualBlockCols, 0, rows, &info);
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else func(0, rows, c0, actualBlockCols, &info);
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}
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#elif defined(EIGEN_GEMM_THREADPOOL)
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ei_declare_aligned_stack_constructed_variable(GemmParallelTaskInfo<Index>,meta_info,threads,0);
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Barrier barrier(threads);
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auto task = [=, &func, &barrier, &task_info](int i)
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{
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Index actual_threads = threads;
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GemmParallelInfo<Index> info(i, actual_threads, task_info);
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Index blockCols = (cols / actual_threads) & ~Index(0x3);
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Index blockRows = (rows / actual_threads);
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blockRows = (blockRows/Functor::Traits::mr)*Functor::Traits::mr;
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Index r0 = i*blockRows;
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Index actualBlockRows = (i+1==actual_threads) ? rows-r0 : blockRows;
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Index c0 = i*blockCols;
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Index actualBlockCols = (i+1==actual_threads) ? cols-c0 : blockCols;
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info.task_info[i].lhs_start = r0;
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info.task_info[i].lhs_length = actualBlockRows;
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if(transpose) func(c0, actualBlockCols, 0, rows, &info);
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else func(0, rows, c0, actualBlockCols, &info);
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barrier.Notify();
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};
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// Notice that we do not schedule more than "threads" tasks, which allows us to
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// limit number of running threads, even if the threadpool itself was constructed
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// with a larger number of threads.
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for (int i=0; i < threads - 1; ++i) {
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pool->Schedule([=, task = std::move(task)] { task(i); });
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}
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task(threads - 1);
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barrier.Wait();
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#endif
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}
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} // end namespace internal
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#endif
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} // end namespace internal
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} // end namespace Eigen
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#endif // EIGEN_PARALLELIZER_H
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@ -234,6 +234,7 @@ ei_add_test(product_trmm)
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ei_add_test(product_trsolve)
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ei_add_test(product_mmtr)
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ei_add_test(product_notemporary)
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ei_add_test(product_threaded)
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ei_add_test(stable_norm)
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ei_add_test(permutationmatrices)
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ei_add_test(bandmatrix)
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33
test/product_threaded.cpp
Normal file
33
test/product_threaded.cpp
Normal file
@ -0,0 +1,33 @@
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// This file is part of Eigen, a lightweight C++ template library
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// for linear algebra.
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//
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// Copyright (C) 2023 Rasmus Munk Larsen <rmlarsen@google.com>
|
||||
//
|
||||
// This Source Code Form is subject to the terms of the Mozilla
|
||||
// Public License v. 2.0. If a copy of the MPL was not distributed
|
||||
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
|
||||
|
||||
#define EIGEN_GEMM_THREADPOOL
|
||||
#include "main.h"
|
||||
|
||||
void test_parallelize_gemm() {
|
||||
constexpr int n = 1024;
|
||||
constexpr int num_threads = 4;
|
||||
MatrixXf a(n,n);
|
||||
MatrixXf b(n,n);
|
||||
MatrixXf c(n,n);
|
||||
c.noalias() = a*b;
|
||||
|
||||
ThreadPool pool(num_threads);
|
||||
MatrixXf c_threaded(n,n);
|
||||
c_threaded.noalias() = a*b;
|
||||
|
||||
VERIFY_IS_APPROX(c, c_threaded);
|
||||
}
|
||||
|
||||
|
||||
|
||||
EIGEN_DECLARE_TEST(product_threaded)
|
||||
{
|
||||
CALL_SUBTEST(test_parallelize_gemm());
|
||||
}
|
Loading…
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Reference in New Issue
Block a user