[CPU][ARM] KleidiAI integration and KleidiAI MM executor (openvinotoolkit#28830)

### Details:
 - `kleidiai` is added as git submodule
 - `kleidiai` is built statically and linked into cpu plugin library
 - MatMul kleidiai executor is added
 - weights transpose is supported in MatMul kleidiai executor
- Initial implementation is inherited from
openvinotoolkit#27331

### Tickets:
 - *ticket-id*

Author: alvoron

.gitmodules

@@ -87,3 +87,6 @@
 [submodule "src/plugins/intel_cpu/thirdparty/shl"]
 	path = src/plugins/intel_cpu/thirdparty/shl
 	url = https://github.com/openvinotoolkit/shl.git
+[submodule "src/plugins/intel_cpu/thirdparty/kleidiai"]
+	path = src/plugins/intel_cpu/thirdparty/kleidiai
+	url = https://git.gitlab.arm.com/kleidi/kleidiai.git

licensing/third-party-programs.txt

@@ -1872,3 +1872,87 @@ distributed under the License is distributed on an "AS IS" BASIS,
 WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 See the License for the specific language governing permissions and
 limitations under the License.
+-------------------------------------------------------------
+
+32. KleidiAI (https://git.gitlab.arm.com/kleidi/kleidiai)
+Copyright 2024-2025 Arm Limited and/or its affiliates <open-source-office@arm.com>
+
+Apache License
+Version 2.0, January 2004
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+
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src/plugins/intel_cpu/CMakeLists.txt

@@ -146,6 +146,13 @@ else()
 endif()
 ov_dependent_option(ENABLE_SHL_FOR_CPU "Enable SHL for OpenVINO CPU Plugin" ${ENABLE_SHL_FOR_CPU_DEFAULT} "RISCV64" OFF)
 
+if(AARCH64)
+    set(ENABLE_KLEIDIAI_FOR_CPU_DEFAULT ON)
+else()
+    set(ENABLE_KLEIDIAI_FOR_CPU_DEFAULT OFF)
+endif()
+ov_dependent_option(ENABLE_KLEIDIAI_FOR_CPU "Enable KleidiAI for OpenVINO CPU Plugin" ${ENABLE_KLEIDIAI_FOR_CPU_DEFAULT} "AARCH64" OFF)
+
 add_subdirectory(thirdparty)
 
 if(WIN32)
@@ -171,6 +178,11 @@ if(DNNL_USE_ACL)
     set(OV_CPU_WITH_ACL ON)
 endif()
 
+if(ENABLE_KLEIDIAI_FOR_CPU)
+    add_definitions(-DOV_CPU_WITH_KLEIDIAI)
+    set(OV_CPU_WITH_KLEIDIAI ON)
+endif()
+
 if (ENABLE_SHL_FOR_CPU)
     add_definitions(-DOV_CPU_WITH_SHL)
     set(OV_CPU_WITH_SHL ON)
@@ -200,6 +212,8 @@ endif()
 if (AARCH64)
     # this directory is reused on RISCV64
     list(APPEND EXCLUDE_PATHS ${CMAKE_CURRENT_SOURCE_DIR}/src/transformations/snippets/x64/*)
+else()
+    list(APPEND EXCLUDE_PATHS ${CMAKE_CURRENT_SOURCE_DIR}/src/nodes/executors/kleidiai/*)
 endif()
 
 if(NOT (AARCH64 OR ARM))
@@ -265,6 +279,10 @@ endif ()
 if(ENABLE_SHL_FOR_CPU)
     target_link_libraries(${TARGET_NAME} PRIVATE shl)
 endif()
+if(ENABLE_KLEIDIAI_FOR_CPU)
+    target_link_libraries(${TARGET_NAME} PRIVATE kleidiai)
+endif()
+
 target_include_directories(${TARGET_NAME} SYSTEM PRIVATE $<TARGET_PROPERTY:dnnl,INCLUDE_DIRECTORIES>)
 
 # Temporal solution to use template reference implementations in cases where optimizied implementation
@@ -368,6 +386,10 @@ if(BUILD_SHARED_LIBS)
         target_include_directories(${TARGET_NAME}_obj SYSTEM PUBLIC $<TARGET_PROPERTY:shl,INTERFACE_INCLUDE_DIRECTORIES>)
     endif()
 
+    if(ENABLE_KLEIDIAI_FOR_CPU)
+        target_include_directories(${TARGET_NAME}_obj SYSTEM PUBLIC $<TARGET_PROPERTY:kleidiai,INTERFACE_INCLUDE_DIRECTORIES>)
+    endif()
+
     ov_set_threading_interface_for(${TARGET_NAME}_obj)
 
     target_compile_definitions(${TARGET_NAME}_obj PRIVATE USE_STATIC_IE)

src/plugins/intel_cpu/src/node.cpp

@@ -637,6 +637,7 @@ std::string Node::getPrimitiveDescriptorType() const {
     SEARCH_TYPE(sparse);
     SEARCH_TYPE(acl);
     SEARCH_TYPE(shl);
+    SEARCH_TYPE(kleidiai);
     SEARCH_TYPE(_dw);
     SEARCH_TYPE(_1x1);
 
@@ -1330,7 +1331,8 @@ const std::vector<impl_desc_type>& Node::getDefaultImplPriority() {
 #endif
             impl_desc_type::gemm_any, impl_desc_type::gemm_blas, impl_desc_type::gemm_avx512, impl_desc_type::gemm_avx2,
             impl_desc_type::gemm_avx, impl_desc_type::gemm_sse42, impl_desc_type::gemm_acl, impl_desc_type::acl,
-            impl_desc_type::jit_gemm, impl_desc_type::ref_any, impl_desc_type::ref,
+            impl_desc_type::gemm_kleidiai, impl_desc_type::kleidiai, impl_desc_type::jit_gemm, impl_desc_type::ref_any,
+            impl_desc_type::ref,
     };
 
     return priorities;

src/plugins/intel_cpu/src/nodes/executors/executor.cpp

@@ -22,6 +22,7 @@ std::string ExecutorTypeToString(const ExecutorType type) {
         CASE(Mlas);
         CASE(jit_aarch64);
         CASE(Shl);
+        CASE(Kleidiai);
     }
 #undef CASE
     return "Undefined";
@@ -41,6 +42,7 @@ ExecutorType ExecutorTypeFromString(const std::string& typeStr) {
     CASE(Mlas);
     CASE(jit_aarch64);
     CASE(Shl);
+    CASE(Kleidiai);
 #undef CASE
     return ExecutorType::Undefined;
 }

src/plugins/intel_cpu/src/nodes/executors/executor.hpp

@@ -51,6 +51,12 @@ namespace ov::intel_cpu {
 #    define OV_CPU_INSTANCE_DNNL(...)
 #endif
 
+#if defined(OV_CPU_WITH_KLEIDIAI)
+#    define OV_CPU_INSTANCE_KLEIDIAI(...) {__VA_ARGS__},
+#else
+#    define OV_CPU_INSTANCE_KLEIDIAI(...)
+#endif
+
 #if defined(OPENVINO_ARCH_X86_64)
 #    define OV_CPU_INSTANCE_X64(...) {__VA_ARGS__},
 #else
@@ -74,7 +80,7 @@ namespace ov::intel_cpu {
 // @todo another option is to determine shape relation by executor type
 enum class ShapeTolerance { Agnostic, Dependant };
 
-enum class ExecutorType { Undefined, Graph, Common, jit_x64, Dnnl, Acl, Mlas, jit_aarch64, Shl };
+enum class ExecutorType { Undefined, Graph, Common, jit_x64, Dnnl, Acl, Mlas, jit_aarch64, Shl, Kleidiai };
 
 enum class OperationType { FullyConnected, MatMul, Convolution };
 

src/plugins/intel_cpu/src/nodes/executors/fullyconnected_implementations.cpp

@@ -30,6 +30,10 @@
 #include "utils/cpp/maybe_unused.hpp"
 #include "utils/debug_capabilities.h"
 
+#if defined(OV_CPU_WITH_KLEIDIAI)
+#    include "nodes/executors/kleidiai/kleidiai_mm.hpp"
+#endif
+
 #if defined(OV_CPU_WITH_ACL)
 #    include "nodes/executors/acl/acl_fullyconnected.hpp"
 #    include "nodes/executors/acl/acl_lowp_fullyconnected.hpp"
@@ -418,6 +422,36 @@ const std::vector<ExecutorImplementation<FCAttrs>>& getImplementations() {
                const ExecutorContext::CPtr& context) {
                 return std::make_shared<ACLLowpFullyConnectedExecutor>(attrs, postOps, memory, context);
             })
+        OV_CPU_INSTANCE_KLEIDIAI(
+            "fullyconnected_kleidiai",
+            ExecutorType::Kleidiai,
+            OperationType::MatMul,
+            ShapeTolerance::Agnostic,
+            // supports
+            [](const FCConfig& config) -> bool {
+                VERIFY(noPostOps(config), UNSUPPORTED_POST_OPS);
+                VERIFY(noSparseDecompression(config), UNSUPPORTED_SPARSE_WEIGHTS);
+                VERIFY(noWeightsDecompression(config), UNSUPPORTED_WEIGHTS_DECOMPRESSION);
+                VERIFY(everyone_is(f32, srcType(config), weiType(config), dstType(config)), UNSUPPORTED_SRC_PRECISIONS);
+                if (config.attrs.withBias) {
+                    VERIFY(biaType(config) == f32, UNSUPPORTED_SRC_PRECISIONS);
+                }
+                VERIFY(srcRank(config) == 2U, UNSUPPORTED_SRC_RANK);
+                VERIFY(weiRank(config) == 2U, UNSUPPORTED_WEI_RANK);
+                return MatMulKleidiAIExecutor::supports(config);
+            },
+            // requiresFallback
+            [](const FCConfig& config) -> ov::optional<executor::Config<FCAttrs>> {
+                return {};
+            },
+            // acceptsShapes
+            [](const MemoryArgs& memory) -> bool {
+                return true;
+            },
+            // create
+            [](const FCAttrs& attrs, const PostOps& postOps, const MemoryArgs& memory, ExecutorContext::CPtr context) {
+                return std::make_shared<MatMulKleidiAIExecutor>(attrs, postOps, memory, context);
+            })
         OV_CPU_INSTANCE_SHL(
             "fullyconnected_shl",
             ExecutorType::Shl,