From 5532973116b83f763a480c2caca49d63f0c731d0 Mon Sep 17 00:00:00 2001
From: Alexander Andreev <alexander.andreev@intel.com>
Date: Thu, 22 Aug 2024 08:24:47 -0700
Subject: [PATCH] Performance fix for ensemble classifier inference

---
 .../df_classification_predict_dense_default_batch_impl.i      | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/cpp/daal/src/algorithms/dtrees/forest/classification/df_classification_predict_dense_default_batch_impl.i b/cpp/daal/src/algorithms/dtrees/forest/classification/df_classification_predict_dense_default_batch_impl.i
index a6e343efa91..c26f48557f6 100644
--- a/cpp/daal/src/algorithms/dtrees/forest/classification/df_classification_predict_dense_default_batch_impl.i
+++ b/cpp/daal/src/algorithms/dtrees/forest/classification/df_classification_predict_dense_default_batch_impl.i
@@ -1045,7 +1045,9 @@ Status PredictClassificationTask<algorithmFPType, cpu>::predictAllPointsByAllTre
     ReadRows<algorithmFPType, cpu> xBD(const_cast<NumericTable *>(_data), 0, nRowsOfRes);
     DAAL_CHECK_BLOCK_STATUS(xBD);
     const algorithmFPType * const aX = xBD.get();
-    if (numberOfTrees > _minTreesForThreading)
+    // TODO: investigate why higher level parallelism for trees causes performance degradation
+    // (excessive memory and CPU resources usage), especially on systems with high number of cores
+    if (false)
     {
         daal::static_tls<algorithmFPType *> tlsData([=]() { return service_scalable_calloc<algorithmFPType, cpu>(_nClasses * nRowsOfRes); });