diff --git a/cmake/external/mkldnn.cmake b/cmake/external/mkldnn.cmake
index 9686df00219001769d074ee815d9cc8db0258496..5a06825beb73e85d8a55b7b578b187bee2c4340c 100644
--- a/cmake/external/mkldnn.cmake
+++ b/cmake/external/mkldnn.cmake
@@ -46,16 +46,20 @@ IF(${CBLAS_PROVIDER} STREQUAL "MKLML")
     MESSAGE(STATUS "Build MKLDNN with ${MKLDNN_MKLROOT}")
 ENDIF()
 
+SET(MKLDNN_CFLAG "${CMAKE_C_FLAGS} -Wno-error=strict-overflow")
+SET(MKLDNN_CXXFLAG "${CMAKE_CXX_FLAGS} -Wno-error=strict-overflow")
 ExternalProject_Add(
     ${MKLDNN_PROJECT}
     ${EXTERNAL_PROJECT_LOG_ARGS}
     DEPENDS             ${MKLDNN_DEPENDS}
     GIT_REPOSITORY      "https://github.com/01org/mkl-dnn.git"
-    GIT_TAG             "v0.10"
+    GIT_TAG             "v0.11"
     PREFIX              ${MKLDNN_SOURCES_DIR}
     UPDATE_COMMAND      ""
     CMAKE_ARGS          -DCMAKE_INSTALL_PREFIX=${MKLDNN_INSTALL_DIR}
     CMAKE_ARGS          -DMKLROOT=${MKLDNN_MKLROOT}
+    CMAKE_ARGS          -DCMAKE_C_FLAGS=${MKLDNN_CFLAG}
+    CMAKE_ARGS          -DCMAKE_CXX_FLAGS=${MKLDNN_CXXFLAG}
     CMAKE_CACHE_ARGS    -DCMAKE_INSTALL_PREFIX:PATH=${MKLDNN_INSTALL_DIR}
                         -DMKLROOT:PATH=${MKLDNN_MKLROOT}
 )
diff --git a/cmake/external/mklml.cmake b/cmake/external/mklml.cmake
index 74f3279831357c21038df133df0f5a432a6dfd20..20dbc32a738d982df2d3f035206279c82c8de264 100644
--- a/cmake/external/mklml.cmake
+++ b/cmake/external/mklml.cmake
@@ -27,8 +27,8 @@ ENDIF()
 INCLUDE(ExternalProject)
 
 SET(MKLML_PROJECT       "extern_mklml")
-SET(MKLML_VER           "mklml_lnx_2018.0.20170720")
-SET(MKLML_URL           "https://github.com/01org/mkl-dnn/releases/download/v0.10/${MKLML_VER}.tgz")
+SET(MKLML_VER           "mklml_lnx_2018.0.1.20171007")
+SET(MKLML_URL           "https://github.com/01org/mkl-dnn/releases/download/v0.11/${MKLML_VER}.tgz")
 SET(MKLML_SOURCE_DIR    "${THIRD_PARTY_PATH}/mklml")
 SET(MKLML_DOWNLOAD_DIR  "${MKLML_SOURCE_DIR}/src/${MKLML_PROJECT}")
 SET(MKLML_DST_DIR       "mklml")
diff --git a/paddle/gserver/layers/MKLDNNAddtoLayer.cpp b/paddle/gserver/layers/MKLDNNAddtoLayer.cpp
index 9c13a23d4822ae0ba386b5203a68039b51c9763a..6ffe4fbec643e50d27924a989875454d307f5b9b 100644
--- a/paddle/gserver/layers/MKLDNNAddtoLayer.cpp
+++ b/paddle/gserver/layers/MKLDNNAddtoLayer.cpp
@@ -91,7 +91,7 @@ void MKLDNNAddtoLayer::resetBwd(std::vector<primitive>& pipeline,
   // backward bias
   bwdBias_ = nullptr;
   if (bias) {
-    std::vector<double> scales(bs_, 1.0);
+    std::vector<float> scales(bs_, 1.0);
     std::vector<memory::primitive_desc> srcPDs(bs_, bias->getPrimitiveDesc());
     auto biasPD = sum::primitive_desc(bias->getMemoryDesc(), scales, srcPDs);
     std::vector<primitive::at> srcs;
@@ -153,7 +153,7 @@ void MKLDNNAddtoLayer::resetFwdPD(std::shared_ptr<sum::primitive_desc>& pd,
                                   std::vector<MKLDNNMatrixPtr>& inputs,
                                   MKLDNNMatrixPtr bias,
                                   MKLDNNMatrixPtr out) {
-  std::vector<double> scales(inputs.size(), 1.0);
+  std::vector<float> scales(inputs.size(), 1.0);
   std::vector<memory::primitive_desc> srcPDs;
   for (size_t i = 0; i < inputs.size(); i++) {
     srcPDs.push_back(inputs[i]->getPrimitiveDesc());
@@ -164,7 +164,7 @@ void MKLDNNAddtoLayer::resetFwdPD(std::shared_ptr<sum::primitive_desc>& pd,
 
   biasPD = nullptr;
   if (bias) {
-    std::vector<double> scales(2, 1.0);
+    std::vector<float> scales(2, 1.0);
     std::vector<memory::primitive_desc> srcPDs(2, bias->getPrimitiveDesc());
     biasPD.reset(
         new sum::primitive_desc(bias->getMemoryDesc(), scales, srcPDs));
diff --git a/paddle/gserver/layers/MKLDNNLayer.cpp b/paddle/gserver/layers/MKLDNNLayer.cpp
index 82ef344c7b2aa0093a5f0a28780592dea5d51efe..e75ac5ba4647a8267b7bc189893bd7adb5c3053f 100644
--- a/paddle/gserver/layers/MKLDNNLayer.cpp
+++ b/paddle/gserver/layers/MKLDNNLayer.cpp
@@ -287,7 +287,7 @@ void MKLDNNLayer::resetMergeGrad(MKLDNNMatrixPtr& out) {
     return;
   }
   CHECK(out) << "should have reset internal ouput grad";
-  std::vector<double> scales(outputMap_.size(), 1.0);
+  std::vector<float> scales(outputMap_.size(), 1.0);
   std::vector<memory::primitive_desc> srcPDs;
   std::vector<primitive::at> srcs;
   for (auto it = outputMap_.begin(); it != outputMap_.end(); ++it) {