#170: Increase trigger value for parallel processing of Sync.

annoviko · Feb 13, 2018 · d10a540 · d10a540
1 parent 9057c85
commit d10a540
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diff --git a/CHANGES b/CHANGES
@@ -5,6 +5,9 @@ CHANGE NOTES FOR 0.8.0 (STARTED Oct 23, 2017)
 ------------------------------------------------------------------------
 
 GENERAL CHANGES:
+- Parallel implementation of Sync-family algorithms for C/C++ implementation (CCORE) only (ccore.sync).
+  See: https://github.com/annoviko/pyclustering/issues/170
+
 - C/C++ implementation is used by default to increase performance.
   See: https://github.com/annoviko/pyclustering/issues/393
 

diff --git a/ccore/src/nnet/sync.cpp b/ccore/src/nnet/sync.cpp
@@ -50,7 +50,7 @@ namespace ccore {
 namespace nnet {
 
 
-const std::size_t sync_network::DEFAULT_DATA_SIZE_PARALLEL_PROCESSING   = 200;
+const std::size_t sync_network::DEFAULT_DATA_SIZE_PARALLEL_PROCESSING   = 800;
 
 const std::size_t sync_network::MAXIMUM_MATRIX_REPRESENTATION_SIZE      = 4096;
 

diff --git a/ccore/tst/utest-sync.cpp b/ccore/tst/utest-sync.cpp
@@ -128,6 +128,7 @@ TEST(utest_sync, dynamic_convergance_36_oscillators_grid_four_parallel) {
     template_dynamic_convergence(36, solve_type::FORWARD_EULER, connection_t::CONNECTION_GRID_FOUR, initial_type::EQUIPARTITION, 0);
 }
 
+
 static void template_static_convergence(const unsigned int number_oscillators, const solve_type solver, const connection_t type, const initial_type initial, const std::size_t p_trigger) {
     sync_network network(number_oscillators, 1.0, 0, type, initial);