Merge branch 'oneapi-src:main' into dhanus/xcp

.ci/pipeline/ci.yml

@@ -620,7 +620,7 @@ jobs:
  conda activate CB
  source $(Pipeline.Workspace)/daal/latest/env/vars.sh
  ./sklearnex/conda-recipe/run_test.sh
- timeoutInMinutes: 15
+ timeoutInMinutes: 20
  displayName: sklearnex test
  - script: |
  source /usr/share/miniconda/etc/profile.d/conda.sh

.github/CODEOWNERS

@@ -1,6 +1,6 @@
 # Documentation owners and reviewers
-/docs/ @Vika-F @maria-Petrova @Alexsandruss @bdmoore1
-*.md @Vika-F @maria-Petrova @Alexsandruss @bdmoore1
+/docs/ @Vika-F @maria-Petrova @Alexsandruss @emmwalsh
+*.md @Vika-F @maria-Petrova @Alexsandruss @emmwalsh
 
 # TTP files
 third-party* @maria-Petrova

.github/workflows/label-enforcement.yml

@@ -3,6 +3,9 @@ on:
  pull_request:
  branches: [ "main" ]
 
+permissions:
+ contents: read
+
 jobs:
  label_checker:
  name: Please include labels on your pull request

CONTRIBUTING.md

@@ -83,6 +83,12 @@ editorconfig-checker
 
 For your convenience we also added [coding guidelines](http://oneapi-src.github.io/oneDAL/contribution/coding_guide.html) with examples and detailed descriptions of the coding style oneDAL follows. We encourage you to consult them when writing your code.
 
+## Custom Components
+
+### Threading Layer
+
+In the source code of the algorithms, oneDAL does not use threading primitives directly. All the threading primitives used within oneDAL form are called the [threading layer](http://oneapi-src.github.io/oneDAL/contribution/threading.html). Contributors should leverage the primitives from the layer to implement parallel algorithms.
+
 ## Documentation Guidelines
 
 oneDAL uses `Doxygen` for inline comments in public header files that are used to build the API reference and `reStructuredText` for the Developer Guide. See [oneDAL documentation](https://oneapi-src.github.io/oneDAL/) for reference.

cpp/daal/src/threading/threading.cpp

@@ -103,7 +103,7 @@ DAAL_EXPORT size_t _setNumberOfThreads(const size_t numThreads, void ** globalCo
  return 1;
 }
 
-DAAL_EXPORT void _daal_threader_for(int n, int threads_request, const void * a, daal::functype func)
+DAAL_EXPORT void _daal_threader_for(int n, int reserved, const void * a, daal::functype func)
 {
  if (daal::threader_env()->getNumberOfThreads() > 1)
  {
@@ -160,7 +160,7 @@ DAAL_EXPORT void _daal_threader_for_blocked_size(size_t n, size_t block, const v
  }
 }
 
-DAAL_EXPORT void _daal_threader_for_simple(int n, int threads_request, const void * a, daal::functype func)
+DAAL_EXPORT void _daal_threader_for_simple(int n, int reserved, const void * a, daal::functype func)
 {
  if (daal::threader_env()->getNumberOfThreads() > 1)
  {
@@ -318,7 +318,7 @@ DAAL_PARALLEL_SORT_IMPL(daal::IdxValType<double>, pair_fp64_uint64)
 
 #undef DAAL_PARALLEL_SORT_IMPL
 
-DAAL_EXPORT void _daal_threader_for_blocked(int n, int threads_request, const void * a, daal::functype2 func)
+DAAL_EXPORT void _daal_threader_for_blocked(int n, int reserved, const void * a, daal::functype2 func)
 {
  if (daal::threader_env()->getNumberOfThreads() > 1)
  {