diff --git a/example/01_gemm/CMakeLists.txt b/example/01_gemm/CMakeLists.txt
index 4cf05de0f3..b39f351824 100755
--- a/example/01_gemm/CMakeLists.txt
+++ b/example/01_gemm/CMakeLists.txt
@@ -110,9 +110,9 @@ add_example_dependencies(example_gemm_wmma example_gemm_wmma_bf16)
 add_example_executable(example_gemm_wmma_int8 gemm_wmma_int8.cpp)
 add_example_dependencies(example_gemm_wmma example_gemm_wmma_int8)
 
-add_example_executable(example_gemm_wmma_bf16_bf16_bf16_v3 gemm_wmma_bf16_bf16_bf16_v3.cpp)
-add_example_dependencies(example_gemm_wmma example_gemm_wmma_bf16_bf16_bf16_v3)
-add_example_executable(example_gemm_wmma_f8_f8_bf16_v3  gemm_wmma_f8_f8_bf16_v3.cpp)
-add_example_dependencies(example_gemm_wmma example_gemm_wmma_f8_f8_bf16_v3)
-add_example_executable(example_gemm_wmma_f16_f16_f16_v3 gemm_wmma_f16_f16_f16_v3.cpp)
-add_example_dependencies(example_gemm_wmma example_gemm_wmma_f16_f16_f16_v3)
+add_example_executable(example_gemm_wmma_bf16_v3 gemm_wmma_bf16_v3.cpp)
+add_example_dependencies(example_gemm_wmma example_gemm_wmma_bf16_v3)
+add_example_executable(example_gemm_wmma_f8_bf16_v3  gemm_wmma_f8_bf16_v3.cpp)
+add_example_dependencies(example_gemm_wmma example_gemm_wmma_f8_bf16_v3)
+add_example_executable(example_gemm_wmma_f16_v3 gemm_wmma_f16_v3.cpp)
+add_example_dependencies(example_gemm_wmma example_gemm_wmma_f16_v3)
diff --git a/example/01_gemm/gemm_wmma_bf16_bf16_bf16_v3.cpp b/example/01_gemm/gemm_wmma_bf16_v3.cpp
similarity index 85%
rename from example/01_gemm/gemm_wmma_bf16_bf16_bf16_v3.cpp
rename to example/01_gemm/gemm_wmma_bf16_v3.cpp
index 1ee1b063ea..9f78e7632e 100644
--- a/example/01_gemm/gemm_wmma_bf16_bf16_bf16_v3.cpp
+++ b/example/01_gemm/gemm_wmma_bf16_v3.cpp
@@ -5,14 +5,11 @@
 
 #include "ck/tensor_operation/gpu/device/impl/device_gemm_wmma_cshuffle_v3.hpp"
 
-using BF16 = bhalf_t;
-using F32  = float;
-
-using ADataType        = BF16;
-using BDataType        = BF16;
-using AccDataType      = F32;
-using CShuffleDataType = BF16;
-using CDataType        = BF16;
+using ADataType        = ck::bhalf_t;
+using BDataType        = ck::bhalf_t;
+using AccDataType      = float;
+using CShuffleDataType = ck::bhalf_t;
+using CDataType        = ck::bhalf_t;
 
 using ALayout = Col;
 using BLayout = Row;
@@ -22,13 +19,13 @@ using AElementOp = PassThrough;
 using BElementOp = PassThrough;
 using CElementOp = PassThrough;
 
-static constexpr auto GemmSpec = ck::tensor_operation::device::GemmSpecialization::GemmSpec;
+static constexpr auto GemmDefault = ck::tensor_operation::device::GemmSpecialization::GemmSpec;
 
 // clang-format off
 using DeviceGemmInstance = ck::tensor_operation::device::DeviceGemm_Wmma_CShuffleV3<
         ALayout,   BLayout,  CLayout,   
         ADataType,   BDataType,  CDataType,  AccDataType,  CShuffleDataType, 
-        PassThrough, PassThrough, PassThrough, GemmSpec, 
+        PassThrough, PassThrough, PassThrough, GemmDefault, 
         256,
         128, 128, 
         32, 8, 8,
diff --git a/example/01_gemm/gemm_wmma_f16_f16_f16_v3.cpp b/example/01_gemm/gemm_wmma_f16_v3.cpp
similarity index 86%
rename from example/01_gemm/gemm_wmma_f16_f16_f16_v3.cpp
rename to example/01_gemm/gemm_wmma_f16_v3.cpp
index 51e015e317..aab3e22a24 100644
--- a/example/01_gemm/gemm_wmma_f16_f16_f16_v3.cpp
+++ b/example/01_gemm/gemm_wmma_f16_v3.cpp
@@ -5,14 +5,11 @@
 
 #include "ck/tensor_operation/gpu/device/impl/device_gemm_wmma_cshuffle_v3.hpp"
 
-using F16 = half_t;
-using F32 = float;
-
-using ADataType        = F16;
-using BDataType        = F16;
-using AccDataType      = F32;
-using CShuffleDataType = F16;
-using CDataType        = F16;
+using ADataType        = ck::half_t;
+using BDataType        = ck::half_t;
+using AccDataType      = float;
+using CShuffleDataType = ck::half_t;
+using CDataType        = ck::half_t;
 
 using ALayout = Col;
 using BLayout = Row;
@@ -22,13 +19,13 @@ using AElementOp = PassThrough;
 using BElementOp = PassThrough;
 using CElementOp = PassThrough;
 
-static constexpr auto GemmSpec = ck::tensor_operation::device::GemmSpecialization::GemmSpec;
+static constexpr auto GemmDefault = ck::tensor_operation::device::GemmSpecialization::GemmSpec;
 
 // clang-format off
 using DeviceGemmInstance = ck::tensor_operation::device::DeviceGemm_Wmma_CShuffleV3<
         ALayout,   BLayout,  CLayout,   
         ADataType,   BDataType,  CDataType,  AccDataType,  CShuffleDataType, 
-        PassThrough, PassThrough, PassThrough, GemmSpec, 
+        PassThrough, PassThrough, PassThrough, GemmDefault, 
         128,
         128, 64, 
         64, 8, 8,
diff --git a/example/01_gemm/gemm_wmma_f8_f8_bf16_v3.cpp b/example/01_gemm/gemm_wmma_f8_bf16_v3.cpp
similarity index 85%
rename from example/01_gemm/gemm_wmma_f8_f8_bf16_v3.cpp
rename to example/01_gemm/gemm_wmma_f8_bf16_v3.cpp
index df8b09ca2e..5159092839 100644
--- a/example/01_gemm/gemm_wmma_f8_f8_bf16_v3.cpp
+++ b/example/01_gemm/gemm_wmma_f8_bf16_v3.cpp
@@ -5,15 +5,11 @@
 
 #include "ck/tensor_operation/gpu/device/impl/device_gemm_wmma_cshuffle_v3.hpp"
 
-using F8   = f8_t;
-using BF16 = bhalf_t;
-using F32  = float;
-
-using ADataType        = F8;
-using BDataType        = F8;
-using AccDataType      = F32;
-using CShuffleDataType = BF16;
-using CDataType        = BF16;
+using ADataType        = ck::f8_t;
+using BDataType        = ck::f8_t;
+using AccDataType      = float;
+using CShuffleDataType = ck::bhalf_t;
+using CDataType        = ck::bhalf_t;
 
 using ALayout = Col;
 using BLayout = Row;
@@ -23,13 +19,13 @@ using AElementOp = PassThrough;
 using BElementOp = PassThrough;
 using CElementOp = PassThrough;
 
-static constexpr auto GemmSpec = ck::tensor_operation::device::GemmSpecialization::GemmSpec;
+static constexpr auto GemmDefault = ck::tensor_operation::device::GemmSpecialization::GemmSpec;
 
 // clang-format off
 using DeviceGemmInstance = ck::tensor_operation::device::DeviceGemm_Wmma_CShuffleV3<
         ALayout,   BLayout,  CLayout,   
         ADataType,   BDataType,  CDataType,  AccDataType,  CShuffleDataType, 
-        PassThrough, PassThrough, PassThrough, GemmSpec, 
+        PassThrough, PassThrough, PassThrough, GemmDefault, 
         32,
         16, 16, 
         64, 8, 8,