diff --git a/example/ck_tile/03_gemm/gemm_splitk_two_stage.cpp b/example/ck_tile/03_gemm/gemm_splitk_two_stage.cpp
index 0455e8e34d..b4e0df711b 100644
--- a/example/ck_tile/03_gemm/gemm_splitk_two_stage.cpp
+++ b/example/ck_tile/03_gemm/gemm_splitk_two_stage.cpp
@@ -6,6 +6,7 @@
 #include "run_gemm_example_common.hpp"
 #include "gemm_splitk_two_stage_invoker.hpp"
 
+template <template <typename PreType, typename WorkspaceType> typename GemmConfig>
 int run_gemm_example(ck_tile::ArgParser& arg_parser)
 {
     std::string data_type = arg_parser.get_str("prec");
@@ -16,13 +17,13 @@ int run_gemm_example(ck_tile::ArgParser& arg_parser)
 
     if(data_type == "fp16")
     {
-        return run_gemm_example_prec_type<GemmConfigTwoStage<ck_tile::half_t, float>,
+        return run_gemm_example_prec_type<GemmConfig<ck_tile::half_t, float>,
                                           Invoker,
                                           ck_tile::half_t>(a_layout, b_layout, arg_parser);
     }
     else if(data_type == "bf16")
     {
-        return run_gemm_example_prec_type<GemmConfigTwoStage<ck_tile::bf16_t, float>,
+        return run_gemm_example_prec_type<GemmConfig<ck_tile::bf16_t, float>,
                                           Invoker,
                                           ck_tile::bf16_t>(a_layout, b_layout, arg_parser);
     }
@@ -42,7 +43,11 @@ int main(int argc, char* argv[])
 
     try
     {
-        return !run_gemm_example(arg_parser);
+#if CK_TILE_USE_WMMA
+        return !run_gemm_example<GemmConfigTwoStage_Wmma>(arg_parser);
+#else
+        return !run_gemm_example<GemmConfigTwoStage>(arg_parser);
+#endif
     }
     catch(const std::runtime_error& e)
     {
diff --git a/example/ck_tile/03_gemm/gemm_splitk_two_stage_invoker.hpp b/example/ck_tile/03_gemm/gemm_splitk_two_stage_invoker.hpp
index 21867816e2..f0a71670ad 100644
--- a/example/ck_tile/03_gemm/gemm_splitk_two_stage_invoker.hpp
+++ b/example/ck_tile/03_gemm/gemm_splitk_two_stage_invoker.hpp
@@ -11,6 +11,12 @@ struct GemmConfigTwoStage : public GemmConfigComputeV3<PrecType_>
     using WorkspaceType = ck_tile::remove_cvref_t<WorkspaceType_>;
 };
 
+template <typename PrecType_, typename WorkspaceType_>
+struct GemmConfigTwoStage_Wmma : public GemmConfigComputeV3_WMMA<PrecType_>
+{
+    using WorkspaceType = ck_tile::remove_cvref_t<WorkspaceType_>;
+};
+
 struct SplitKTwoStageInvoker
 {
     template <typename GemmConfig,
@@ -155,8 +161,7 @@ struct SplitKTwoStageInvoker
             for(auto d : shape)
                 total_elements *= d;
 
-            constexpr ck_tile::index_t kBlockSize =
-                ck_tile::get_warp_size() * BlockWarps::at(ck_tile::number<0>{});
+            const ck_tile::index_t kBlockSize      = ElementwiseKernel::BlockSize();
             constexpr ck_tile::index_t kBlockPerCu = 1;
 
             constexpr ck_tile::index_t elements_per_block = BlockTile::at(ck_tile::number<0>{});
diff --git a/example/ck_tile/03_gemm/gemm_utils.hpp b/example/ck_tile/03_gemm/gemm_utils.hpp
index 9a4ec64242..588b66ca43 100644
--- a/example/ck_tile/03_gemm/gemm_utils.hpp
+++ b/example/ck_tile/03_gemm/gemm_utils.hpp
@@ -4,6 +4,7 @@
 #pragma once
 
 #include <string>
+#include <variant>
 
 #include "ck_tile/core.hpp"
 #include "ck_tile/host/kernel_launch.hpp"
@@ -173,7 +174,6 @@ struct GemmConfigComputeV3_2 : public GemmConfigBase
     static constexpr int kBlockPerCu = 2;
 };
 
-#if CK_TILE_USE_WMMA
 template <typename PrecType>
 struct GemmConfigComputeV3_WMMA : public GemmConfigBase
 {
@@ -194,7 +194,6 @@ struct GemmConfigComputeV3_WMMA : public GemmConfigBase
 
     static constexpr int kBlockPerCu = 2;
 };
-#endif
 
 template <typename PrecType>
 struct GemmConfigComputeV4 : public GemmConfigBase
diff --git a/example/ck_tile/16_batched_gemm/batched_gemm.cpp b/example/ck_tile/16_batched_gemm/batched_gemm.cpp
index 09ba010e00..1164e28125 100644
--- a/example/ck_tile/16_batched_gemm/batched_gemm.cpp
+++ b/example/ck_tile/16_batched_gemm/batched_gemm.cpp
@@ -15,7 +15,8 @@
 #include "ck_tile/host.hpp"
 #include "batched_gemm.hpp"
 
-template <typename ADataType,
+template <typename GemmConfig,
+          typename ADataType,
           typename BDataType,
           typename DsDataType,
           typename AccDataType,
@@ -27,54 +28,19 @@ template <typename ADataType,
           typename CDEElementWise = ck_tile::element_wise::PassThrough>
 float batched_gemm(const ck_tile::BatchedGemmHostArgs& args, const ck_tile::stream_config& s)
 {
-#if(CK_TILE_PIPELINE_DEFAULT == CK_TILE_PIPELINE_MEMORY)
-    // Memory friendly for Interwave scheduler
-    constexpr ck_tile::index_t M_Tile = 128;
-    constexpr ck_tile::index_t N_Tile = 32;
-    constexpr ck_tile::index_t K_Tile = 64;
+    constexpr ck_tile::index_t M_Tile = GemmConfig::M_Tile;
+    constexpr ck_tile::index_t N_Tile = GemmConfig::N_Tile;
+    constexpr ck_tile::index_t K_Tile = GemmConfig::K_Tile;
 
-    constexpr ck_tile::index_t M_Warp = 4;
-    constexpr ck_tile::index_t N_Warp = 1;
-    constexpr ck_tile::index_t K_Warp = 1;
+    constexpr ck_tile::index_t M_Warp = GemmConfig::M_Warp;
+    constexpr ck_tile::index_t N_Warp = GemmConfig::N_Warp;
+    constexpr ck_tile::index_t K_Warp = GemmConfig::K_Warp;
 
-    constexpr ck_tile::index_t M_Warp_Tile = 32;
-    constexpr ck_tile::index_t N_Warp_Tile = 32;
-    constexpr ck_tile::index_t K_Warp_Tile = 8;
+    constexpr ck_tile::index_t M_Warp_Tile = GemmConfig::M_Warp_Tile;
+    constexpr ck_tile::index_t N_Warp_Tile = GemmConfig::N_Warp_Tile;
+    constexpr ck_tile::index_t K_Warp_Tile = GemmConfig::K_Warp_Tile;
 
-    constexpr bool DoubleSmemBuffer = false;
-#endif
-#if(CK_TILE_PIPELINE_DEFAULT == CK_TILE_PIPELINE_COMPUTE_V3)
-    // Compute friendly for Intrawave scheduler
-    constexpr ck_tile::index_t M_Tile = 256;
-    constexpr ck_tile::index_t N_Tile = 256;
-    constexpr ck_tile::index_t K_Tile = 64;
-
-    constexpr ck_tile::index_t M_Warp = 2;
-    constexpr ck_tile::index_t N_Warp = 2;
-    constexpr ck_tile::index_t K_Warp = 1;
-
-    constexpr ck_tile::index_t M_Warp_Tile = 32;
-    constexpr ck_tile::index_t N_Warp_Tile = 32;
-    constexpr ck_tile::index_t K_Warp_Tile = 16;
-
-    constexpr bool DoubleSmemBuffer = false;
-#elif(CK_TILE_PIPELINE_DEFAULT == CK_TILE_PIPELINE_COMPUTE_V4)
-    // Compute friendly for Intrawave scheduler
-    // Using the ping pong reader in the lds level
-    constexpr ck_tile::index_t M_Tile = 256;
-    constexpr ck_tile::index_t N_Tile = 256;
-    constexpr ck_tile::index_t K_Tile = 32;
-
-    constexpr ck_tile::index_t M_Warp = 2;
-    constexpr ck_tile::index_t N_Warp = 2;
-    constexpr ck_tile::index_t K_Warp = 1;
-
-    constexpr ck_tile::index_t M_Warp_Tile = 32;
-    constexpr ck_tile::index_t N_Warp_Tile = 32;
-    constexpr ck_tile::index_t K_Warp_Tile = 16;
-
-    constexpr bool DoubleSmemBuffer = true;
-#endif
+    constexpr bool DoubleSmemBuffer = GemmConfig::DoubleSmemBuffer;
 
     constexpr bool kPadM = false;
     constexpr bool kPadN = false;
@@ -105,7 +71,8 @@ float batched_gemm(const ck_tile::BatchedGemmHostArgs& args, const ck_tile::stre
     using GemmPipelineProblem =
         ck_tile::GemmPipelineProblem<ADataType, BDataType, AccDataType, GemmShape, Traits>;
 
-    using BaseGemmPipeline = UNIVERSAL_GEMM_PIPELINE<GemmPipelineProblem>;
+    using BaseGemmPipeline = typename PipelineTypeTraits<
+        GemmConfig::Pipeline>::template UniversalGemmPipeline<GemmPipelineProblem>;
 
     const ck_tile::index_t k_grain     = args.k_batch * K_Tile;
     const ck_tile::index_t K_split     = (args.K + k_grain - 1) / k_grain * K_Tile;
@@ -119,7 +86,7 @@ float batched_gemm(const ck_tile::BatchedGemmHostArgs& args, const ck_tile::stre
         [&](const auto has_hot_loop_, const auto tail_number_, const auto memory_operation_) {
             constexpr bool has_hot_loop_v   = has_hot_loop_.value;
             constexpr auto tail_number_v    = tail_number_.value;
-            constexpr auto scheduler        = GEMM_PIPELINE_SCHEDULER;
+            constexpr auto scheduler        = GemmConfig::Scheduler;
             constexpr auto memory_operation = memory_operation_.value;
 
             using UniversalGemmProblem = ck_tile::UniversalGemmPipelineProblem<ADataType,
@@ -131,7 +98,8 @@ float batched_gemm(const ck_tile::BatchedGemmHostArgs& args, const ck_tile::stre
                                                                                has_hot_loop_v,
                                                                                tail_number_v>;
 
-            using GemmPipeline = GEMM_PIPELINE<UniversalGemmProblem>;
+            using GemmPipeline = typename PipelineTypeTraits<
+                GemmConfig::Pipeline>::template GemmPipeline<UniversalGemmProblem>;
 
             using GemmEpilogue = ck_tile::CShuffleEpilogue<
                 ck_tile::CShuffleEpilogueProblem<ADataType,
@@ -207,7 +175,11 @@ int main(int argc, char* argv[])
 {
     try
     {
-        return !run_batched_gemm_example(argc, argv);
+#if CK_TILE_USE_WMMA
+        return !run_batched_gemm_example<GemmConfigV3_Wmma>(argc, argv);
+#else
+        return !run_batched_gemm_example<GemmConfigV3>(argc, argv);
+#endif
     }
     catch(const std::runtime_error& e)
     {
diff --git a/example/ck_tile/16_batched_gemm/batched_gemm.hpp b/example/ck_tile/16_batched_gemm/batched_gemm.hpp
index b63c269377..33da0bf0a5 100644
--- a/example/ck_tile/16_batched_gemm/batched_gemm.hpp
+++ b/example/ck_tile/16_batched_gemm/batched_gemm.hpp
@@ -15,25 +15,116 @@
 #define CK_TILE_PIPELINE_MEMORY 2
 #define CK_TILE_PIPELINE_COMPUTE_V4 3
 
-#ifndef CK_TILE_PIPELINE_DEFAULT
-#define CK_TILE_PIPELINE_DEFAULT CK_TILE_PIPELINE_COMPUTE_V3
-#endif
+struct GemmConfigMemory
+{
+    // Memory friendly for Interwave scheduler
+    static constexpr ck_tile::index_t M_Tile = 128;
+    static constexpr ck_tile::index_t N_Tile = 32;
+    static constexpr ck_tile::index_t K_Tile = 64;
 
-#if(CK_TILE_PIPELINE_DEFAULT == CK_TILE_PIPELINE_MEMORY)
-#define GEMM_PIPELINE ck_tile::GemmPipelineAgBgCrMem
-#define UNIVERSAL_GEMM_PIPELINE ck_tile::BaseGemmPipelineAgBgCrMem
-#define GEMM_PIPELINE_SCHEDULER ck_tile::GemmPipelineScheduler::Interwave
-#elif(CK_TILE_PIPELINE_DEFAULT == CK_TILE_PIPELINE_COMPUTE_V3)
-#define GEMM_PIPELINE ck_tile::GemmPipelineAgBgCrCompV3
-#define UNIVERSAL_GEMM_PIPELINE ck_tile::BaseGemmPipelineAgBgCrCompV3
-#define GEMM_PIPELINE_SCHEDULER ck_tile::GemmPipelineScheduler::Intrawave
-#elif(CK_TILE_PIPELINE_DEFAULT == CK_TILE_PIPELINE_COMPUTE_V4)
-#define GEMM_PIPELINE ck_tile::GemmPipelineAgBgCrCompV4
-#define UNIVERSAL_GEMM_PIPELINE ck_tile::BaseGemmPipelineAgBgCrCompV4
-#define GEMM_PIPELINE_SCHEDULER ck_tile::GemmPipelineScheduler::Intrawave
-#else
-#error "unsupported CK_TILE_PIPELINE_DEFAULT value"
-#endif
+    static constexpr ck_tile::index_t M_Warp = 4;
+    static constexpr ck_tile::index_t N_Warp = 1;
+    static constexpr ck_tile::index_t K_Warp = 1;
+
+    static constexpr ck_tile::index_t M_Warp_Tile = 32;
+    static constexpr ck_tile::index_t N_Warp_Tile = 32;
+    static constexpr ck_tile::index_t K_Warp_Tile = 8;
+
+    static constexpr bool DoubleSmemBuffer     = false;
+    static constexpr ck_tile::index_t Pipeline = CK_TILE_PIPELINE_MEMORY;
+    static constexpr auto Scheduler            = ck_tile::GemmPipelineScheduler::Interwave;
+};
+
+struct GemmConfigV3
+{
+    // Compute friendly for Intrawave scheduler
+    static constexpr ck_tile::index_t M_Tile = 256;
+    static constexpr ck_tile::index_t N_Tile = 256;
+    static constexpr ck_tile::index_t K_Tile = 64;
+
+    static constexpr ck_tile::index_t M_Warp = 2;
+    static constexpr ck_tile::index_t N_Warp = 2;
+    static constexpr ck_tile::index_t K_Warp = 1;
+
+    static constexpr ck_tile::index_t M_Warp_Tile = 32;
+    static constexpr ck_tile::index_t N_Warp_Tile = 32;
+    static constexpr ck_tile::index_t K_Warp_Tile = 16;
+
+    static constexpr bool DoubleSmemBuffer     = false;
+    static constexpr ck_tile::index_t Pipeline = CK_TILE_PIPELINE_COMPUTE_V3;
+    static constexpr auto Scheduler            = ck_tile::GemmPipelineScheduler::Intrawave;
+};
+
+struct GemmConfigV4
+{
+    // Compute friendly for Intrawave scheduler
+    // Using the ping pong reader in the lds level
+    static constexpr ck_tile::index_t M_Tile = 256;
+    static constexpr ck_tile::index_t N_Tile = 256;
+    static constexpr ck_tile::index_t K_Tile = 32;
+
+    static constexpr ck_tile::index_t M_Warp = 2;
+    static constexpr ck_tile::index_t N_Warp = 2;
+    static constexpr ck_tile::index_t K_Warp = 1;
+
+    static constexpr ck_tile::index_t M_Warp_Tile = 32;
+    static constexpr ck_tile::index_t N_Warp_Tile = 32;
+    static constexpr ck_tile::index_t K_Warp_Tile = 16;
+
+    static constexpr bool DoubleSmemBuffer     = true;
+    static constexpr ck_tile::index_t Pipeline = CK_TILE_PIPELINE_COMPUTE_V4;
+    static constexpr auto Scheduler            = ck_tile::GemmPipelineScheduler::Intrawave;
+};
+
+struct GemmConfigV3_Wmma
+{
+    // Compute friendly for Intrawave scheduler
+    static constexpr ck_tile::index_t M_Tile = 128;
+    static constexpr ck_tile::index_t N_Tile = 128;
+    static constexpr ck_tile::index_t K_Tile = 64;
+
+    static constexpr ck_tile::index_t M_Warp = 2;
+    static constexpr ck_tile::index_t N_Warp = 2;
+    static constexpr ck_tile::index_t K_Warp = 1;
+
+    static constexpr ck_tile::index_t M_Warp_Tile = 16;
+    static constexpr ck_tile::index_t N_Warp_Tile = 16;
+    static constexpr ck_tile::index_t K_Warp_Tile = 16;
+
+    static constexpr bool DoubleSmemBuffer     = false;
+    static constexpr ck_tile::index_t Pipeline = CK_TILE_PIPELINE_COMPUTE_V3;
+    static constexpr auto Scheduler            = ck_tile::GemmPipelineScheduler::Intrawave;
+};
+
+template <ck_tile::index_t PipelineId>
+struct PipelineTypeTraits;
+
+template <>
+struct PipelineTypeTraits<CK_TILE_PIPELINE_MEMORY>
+{
+    template <typename PipelineProblem>
+    using GemmPipeline = ck_tile::GemmPipelineAgBgCrMem<PipelineProblem>;
+    template <typename PipelineProblem>
+    using UniversalGemmPipeline = ck_tile::BaseGemmPipelineAgBgCrMem<PipelineProblem>;
+};
+
+template <>
+struct PipelineTypeTraits<CK_TILE_PIPELINE_COMPUTE_V3>
+{
+    template <typename PipelineProblem>
+    using GemmPipeline = ck_tile::GemmPipelineAgBgCrCompV3<PipelineProblem>;
+    template <typename PipelineProblem>
+    using UniversalGemmPipeline = ck_tile::BaseGemmPipelineAgBgCrCompV3<PipelineProblem>;
+};
+
+template <>
+struct PipelineTypeTraits<CK_TILE_PIPELINE_COMPUTE_V4>
+{
+    template <typename PipelineProblem>
+    using GemmPipeline = ck_tile::GemmPipelineAgBgCrCompV4<PipelineProblem>;
+    template <typename PipelineProblem>
+    using UniversalGemmPipeline = ck_tile::BaseGemmPipelineAgBgCrCompV4<PipelineProblem>;
+};
 
 template <typename DataType>
 struct BatchedGemmTypeConfig;
diff --git a/example/ck_tile/16_batched_gemm/run_batched_gemm_example.inc b/example/ck_tile/16_batched_gemm/run_batched_gemm_example.inc
index c446fa7428..8c5249fdad 100644
--- a/example/ck_tile/16_batched_gemm/run_batched_gemm_example.inc
+++ b/example/ck_tile/16_batched_gemm/run_batched_gemm_example.inc
@@ -22,7 +22,8 @@ auto calculate_rtol_atol(const ck_tile::index_t K,
     return ck_tile::make_tuple(std::max(rtol, rtol_split_k), std::max(atol, atol_split_k));
 }
 
-template <typename ADataType,
+template <typename GemmConfig,
+          typename ADataType,
           typename BDataType,
           typename DsDataType,
           typename AccDataType,
@@ -64,7 +65,8 @@ float invoke_batched_gemm(ck_tile::DeviceMem& a_m_k_dev_buf,
                                       batch_stride_C,
                                       batch_count};
 
-    float ave_time = batched_gemm<ADataType,
+    float ave_time = batched_gemm<GemmConfig,
+                                  ADataType,
                                   BDataType,
                                   DsDataType,
                                   AccDataType,
@@ -79,7 +81,7 @@ float invoke_batched_gemm(ck_tile::DeviceMem& a_m_k_dev_buf,
     return ave_time;
 }
 
-template <typename ALayout, typename BLayout, typename CLayout>
+template <typename GemmConfig, typename ALayout, typename BLayout, typename CLayout>
 int run_batched_gemm_example_with_layouts(int argc,
                                           char* argv[],
                                           const ALayout a_layout                  = ALayout{},
@@ -170,7 +172,8 @@ int run_batched_gemm_example_with_layouts(int argc,
     c_m_n_dev_buf.SetZero();
     c_m_n_dev_result.SetZero();
 
-    float ave_time = invoke_batched_gemm<ADataType,
+    float ave_time = invoke_batched_gemm<GemmConfig,
+                                         ADataType,
                                          BDataType,
                                          ck_tile::tuple<>,
                                          AccDataType,
@@ -311,6 +314,7 @@ int run_batched_gemm_example_with_layouts(int argc,
     return pass;
 }
 
+template <typename GemmConfig>
 int run_batched_gemm_example(int argc, char* argv[])
 {
     auto [result, arg_parser] = create_args(argc, argv);
@@ -329,7 +333,7 @@ int run_batched_gemm_example(int argc, char* argv[])
     // }
     if(a_layout == "R" && b_layout == "C")
     {
-        return run_batched_gemm_example_with_layouts(argc, argv, Row{}, Col{}, Row{});
+        return run_batched_gemm_example_with_layouts<GemmConfig>(argc, argv, Row{}, Col{}, Row{});
     }
     // TODO: Fixme: with latest changes to GemmPipelineAGmemBGmemCRegV1DefaultPolicy below do not
     // work else if(a_layout == "C" && b_layout == "C")
diff --git a/example/ck_tile/17_grouped_gemm/grouped_gemm.cpp b/example/ck_tile/17_grouped_gemm/grouped_gemm.cpp
index ca46b638e6..9975f2024b 100644
--- a/example/ck_tile/17_grouped_gemm/grouped_gemm.cpp
+++ b/example/ck_tile/17_grouped_gemm/grouped_gemm.cpp
@@ -353,5 +353,9 @@ int run_grouped_gemm_example(int argc, char* argv[])
 
 int main(int argc, char* argv[])
 {
+#if CK_TILE_USE_WMMA
+    return !run_grouped_gemm_example<GemmConfigComputeV4_Wmma>(argc, argv);
+#else
     return !run_grouped_gemm_example<GemmConfigComputeV4>(argc, argv);
+#endif
 }
diff --git a/example/ck_tile/17_grouped_gemm/grouped_gemm.hpp b/example/ck_tile/17_grouped_gemm/grouped_gemm.hpp
index 1fb53909ac..a8abcee41e 100644
--- a/example/ck_tile/17_grouped_gemm/grouped_gemm.hpp
+++ b/example/ck_tile/17_grouped_gemm/grouped_gemm.hpp
@@ -17,10 +17,6 @@
 #define CK_TILE_PIPELINE_COMPUTE_V4 3
 #define CK_TILE_PIPELINE_PRESHUFFLE_V2 4
 
-#ifndef CK_TILE_PIPELINE_DEFAULT
-#define CK_TILE_PIPELINE_DEFAULT CK_TILE_PIPELINE_COMPUTE_V3
-#endif
-
 template <typename PrecType, ck_tile::index_t M_Warp_Tile>
 constexpr ck_tile::index_t get_k_warp_tile()
 {
@@ -190,6 +186,29 @@ struct GemmConfigPreshufflePrefill : public GemmConfigBase
     static constexpr bool kPadK                = true;
 };
 
+template <typename PrecType>
+struct GemmConfigComputeV4_Wmma : public GemmConfigBase
+{
+    // Compute V4 only support Intrawave scheduler
+    // Using the ping pong reader in the lds level
+    static constexpr ck_tile::index_t M_Tile = 128;
+    static constexpr ck_tile::index_t N_Tile = 128;
+    static constexpr ck_tile::index_t K_Tile = 128 / sizeof(PrecType);
+
+    static constexpr ck_tile::index_t M_Warp = 2;
+    static constexpr ck_tile::index_t N_Warp = 2;
+    static constexpr ck_tile::index_t K_Warp = 1;
+
+    static constexpr ck_tile::index_t M_Warp_Tile = 16;
+    static constexpr ck_tile::index_t N_Warp_Tile = 16;
+    static constexpr ck_tile::index_t K_Warp_Tile = 16;
+
+    static constexpr bool DoubleSmemBuffer     = true;
+    static constexpr ck_tile::index_t Pipeline = CK_TILE_PIPELINE_COMPUTE_V4;
+
+    static constexpr int kBlockPerCu = 2;
+};
+
 template <typename PrecType>
 struct GemmConfigPreshuffleDecode_Wmma : public GemmConfigBase
 {
diff --git a/example/ck_tile/19_gemm_multi_d/gemm_multi_d_fp16.cpp b/example/ck_tile/19_gemm_multi_d/gemm_multi_d_fp16.cpp
index fc52cb66cc..ecb0e3df48 100644
--- a/example/ck_tile/19_gemm_multi_d/gemm_multi_d_fp16.cpp
+++ b/example/ck_tile/19_gemm_multi_d/gemm_multi_d_fp16.cpp
@@ -17,7 +17,8 @@
 #include "gemm_multi_d_fp16.hpp"
 #include "utils.hpp"
 
-template <typename ADataType,
+template <typename GemmConfig,
+          typename ADataType,
           typename BDataType,
           typename DsDataType,
           typename AccDataType,
@@ -29,58 +30,22 @@ template <typename ADataType,
           typename CDEElementWise = ck_tile::element_wise::PassThrough>
 auto gemm_multi_d(const gemm_multi_d_kargs& args, const ck_tile::stream_config& s) -> float
 {
-#if(CK_TILE_PIPELINE_DEFAULT == CK_TILE_PIPELINE_MEMORY)
-    // Memory friendly for Interwave scheduler
-    constexpr ck_tile::index_t M_Tile = 128;
-    constexpr ck_tile::index_t N_Tile = 32;
-    constexpr ck_tile::index_t K_Tile = 64;
+    constexpr ck_tile::index_t M_Tile = GemmConfig::M_Tile;
+    constexpr ck_tile::index_t N_Tile = GemmConfig::N_Tile;
+    constexpr ck_tile::index_t K_Tile = GemmConfig::K_Tile;
 
-    constexpr ck_tile::index_t M_Warp = 4;
-    constexpr ck_tile::index_t N_Warp = 1;
-    constexpr ck_tile::index_t K_Warp = 1;
+    constexpr ck_tile::index_t M_Warp = GemmConfig::M_Warp;
+    constexpr ck_tile::index_t N_Warp = GemmConfig::N_Warp;
+    constexpr ck_tile::index_t K_Warp = GemmConfig::K_Warp;
 
-    constexpr ck_tile::index_t M_Warp_Tile = 32;
-    constexpr ck_tile::index_t N_Warp_Tile = 32;
-    constexpr ck_tile::index_t K_Warp_Tile = 8;
+    constexpr ck_tile::index_t M_Warp_Tile = GemmConfig::M_Warp_Tile;
+    constexpr ck_tile::index_t N_Warp_Tile = GemmConfig::N_Warp_Tile;
+    constexpr ck_tile::index_t K_Warp_Tile = GemmConfig::K_Warp_Tile;
 
-    constexpr bool DoubleSmemBuffer = false;
-#endif
-#if(CK_TILE_PIPELINE_DEFAULT == CK_TILE_PIPELINE_COMPUTE_V3)
-    // Compute friendly for Intrawave scheduler
-    constexpr ck_tile::index_t M_Tile = 256;
-    constexpr ck_tile::index_t N_Tile = 256;
-    constexpr ck_tile::index_t K_Tile = 64;
-
-    constexpr ck_tile::index_t M_Warp = 2;
-    constexpr ck_tile::index_t N_Warp = 2;
-    constexpr ck_tile::index_t K_Warp = 1;
-
-    constexpr ck_tile::index_t M_Warp_Tile = 32;
-    constexpr ck_tile::index_t N_Warp_Tile = 32;
-    constexpr ck_tile::index_t K_Warp_Tile = 16;
-
-    constexpr bool DoubleSmemBuffer = false;
-#elif(CK_TILE_PIPELINE_DEFAULT == CK_TILE_PIPELINE_COMPUTE_V4)
-    // Compute friendly for Intrawave scheduler
-    // Using the ping pong reader in the lds level
-    constexpr ck_tile::index_t M_Tile = 256;
-    constexpr ck_tile::index_t N_Tile = 256;
-    constexpr ck_tile::index_t K_Tile = 32;
-
-    constexpr ck_tile::index_t M_Warp = 2;
-    constexpr ck_tile::index_t N_Warp = 2;
-    constexpr ck_tile::index_t K_Warp = 1;
-
-    constexpr ck_tile::index_t M_Warp_Tile = 32;
-    constexpr ck_tile::index_t N_Warp_Tile = 32;
-    constexpr ck_tile::index_t K_Warp_Tile = 16;
-
-    constexpr bool DoubleSmemBuffer = true;
-#endif
-
-    constexpr bool kPadM = false;
-    constexpr bool kPadN = false;
-    constexpr bool kPadK = false;
+    constexpr bool DoubleSmemBuffer = GemmConfig::DoubleSmemBuffer;
+    constexpr bool kPadM            = false;
+    constexpr bool kPadN            = false;
+    constexpr bool kPadK            = false;
 
     constexpr bool TransposeC = false;
 
@@ -109,7 +74,8 @@ auto gemm_multi_d(const gemm_multi_d_kargs& args, const ck_tile::stream_config&
     using GemmPipelineProblem =
         ck_tile::GemmPipelineProblem<ADataType, BDataType, AccDataType, GemmShape, Traits>;
 
-    using BaseGemmPipeline = UNIVERSAL_GEMM_PIPELINE<GemmPipelineProblem>;
+    using BaseGemmPipeline = typename PipelineTypeTraits<
+        GemmConfig::Pipeline>::template UniversalGemmPipeline<GemmPipelineProblem>;
 
     const ck_tile::index_t k_grain     = args.k_batch * K_Tile;
     const ck_tile::index_t K_split     = (args.K + k_grain - 1) / k_grain * K_Tile;
@@ -123,7 +89,7 @@ auto gemm_multi_d(const gemm_multi_d_kargs& args, const ck_tile::stream_config&
         [&](const auto has_hot_loop_, const auto tail_number_, const auto memory_operation_) {
             constexpr bool has_hot_loop_v   = has_hot_loop_.value;
             constexpr auto tail_number_v    = tail_number_.value;
-            constexpr auto scheduler        = GEMM_PIPELINE_SCHEDULER;
+            constexpr auto scheduler        = GemmConfig::Scheduler;
             constexpr auto memory_operation = memory_operation_.value;
 
             using UniversalGemmProblem = ck_tile::UniversalGemmPipelineProblem<ADataType,
@@ -135,7 +101,8 @@ auto gemm_multi_d(const gemm_multi_d_kargs& args, const ck_tile::stream_config&
                                                                                has_hot_loop_v,
                                                                                tail_number_v>;
 
-            using GemmPipeline = GEMM_PIPELINE<UniversalGemmProblem>;
+            using GemmPipeline = typename PipelineTypeTraits<
+                GemmConfig::Pipeline>::template GemmPipeline<UniversalGemmProblem>;
 
             using GemmEpilogue = ck_tile::CShuffleEpilogue<
                 ck_tile::CShuffleEpilogueProblem<ADataType,
@@ -203,4 +170,11 @@ auto gemm_multi_d(const gemm_multi_d_kargs& args, const ck_tile::stream_config&
 
 #include "run_gemm_multi_d_fp16_example.inc"
 
-int main(int argc, char* argv[]) { return !run_multiple_d_gemm_example(argc, argv); }
+int main(int argc, char* argv[])
+{
+#if CK_TILE_USE_WMMA
+    return !run_multiple_d_gemm_example<GemmConfigV3_Wmma>(argc, argv);
+#else
+    return !run_multiple_d_gemm_example<GemmConfigV3>(argc, argv);
+#endif
+}
diff --git a/example/ck_tile/19_gemm_multi_d/gemm_multi_d_fp16.hpp b/example/ck_tile/19_gemm_multi_d/gemm_multi_d_fp16.hpp
index d28f823eda..a7ae227627 100644
--- a/example/ck_tile/19_gemm_multi_d/gemm_multi_d_fp16.hpp
+++ b/example/ck_tile/19_gemm_multi_d/gemm_multi_d_fp16.hpp
@@ -13,26 +13,6 @@
 #define CK_TILE_PIPELINE_MEMORY 2
 #define CK_TILE_PIPELINE_COMPUTE_V4 3
 
-#ifndef CK_TILE_PIPELINE_DEFAULT
-#define CK_TILE_PIPELINE_DEFAULT CK_TILE_PIPELINE_COMPUTE_V3
-#endif
-
-#if(CK_TILE_PIPELINE_DEFAULT == CK_TILE_PIPELINE_MEMORY)
-#define GEMM_PIPELINE ck_tile::GemmPipelineAgBgCrMem
-#define UNIVERSAL_GEMM_PIPELINE ck_tile::BaseGemmPipelineAgBgCrMem
-#define GEMM_PIPELINE_SCHEDULER ck_tile::GemmPipelineScheduler::Interwave
-#elif(CK_TILE_PIPELINE_DEFAULT == CK_TILE_PIPELINE_COMPUTE_V3)
-#define GEMM_PIPELINE ck_tile::GemmPipelineAgBgCrCompV3
-#define UNIVERSAL_GEMM_PIPELINE ck_tile::BaseGemmPipelineAgBgCrCompV3
-#define GEMM_PIPELINE_SCHEDULER ck_tile::GemmPipelineScheduler::Intrawave
-#elif(CK_TILE_PIPELINE_DEFAULT == CK_TILE_PIPELINE_COMPUTE_V4)
-#define GEMM_PIPELINE ck_tile::GemmPipelineAgBgCrCompV4
-#define UNIVERSAL_GEMM_PIPELINE ck_tile::BaseGemmPipelineAgBgCrCompV4
-#define GEMM_PIPELINE_SCHEDULER ck_tile::GemmPipelineScheduler::Intrawave
-#else
-#error "unsupported CK_TILE_PIPELINE_DEFAULT value"
-#endif
-
 using ADataType   = ck_tile::half_t;
 using BDataType   = ck_tile::half_t;
 using D0DataType  = ck_tile::half_t;
@@ -41,6 +21,117 @@ using EDataType   = ck_tile::half_t;
 using DsDataType  = ck_tile::tuple<D0DataType, D1DataType>;
 using AccDataType = float;
 
+struct GemmConfigMemory
+{
+    // Memory friendly for Interwave scheduler
+    static constexpr ck_tile::index_t M_Tile = 128;
+    static constexpr ck_tile::index_t N_Tile = 32;
+    static constexpr ck_tile::index_t K_Tile = 64;
+
+    static constexpr ck_tile::index_t M_Warp = 4;
+    static constexpr ck_tile::index_t N_Warp = 1;
+    static constexpr ck_tile::index_t K_Warp = 1;
+
+    static constexpr ck_tile::index_t M_Warp_Tile = 32;
+    static constexpr ck_tile::index_t N_Warp_Tile = 32;
+    static constexpr ck_tile::index_t K_Warp_Tile = 8;
+
+    static constexpr bool DoubleSmemBuffer     = false;
+    static constexpr ck_tile::index_t Pipeline = CK_TILE_PIPELINE_MEMORY;
+    static constexpr auto Scheduler            = ck_tile::GemmPipelineScheduler::Interwave;
+};
+
+struct GemmConfigV3
+{
+    // Compute friendly for Intrawave scheduler
+    static constexpr ck_tile::index_t M_Tile = 256;
+    static constexpr ck_tile::index_t N_Tile = 256;
+    static constexpr ck_tile::index_t K_Tile = 64;
+
+    static constexpr ck_tile::index_t M_Warp = 2;
+    static constexpr ck_tile::index_t N_Warp = 2;
+    static constexpr ck_tile::index_t K_Warp = 1;
+
+    static constexpr ck_tile::index_t M_Warp_Tile = 32;
+    static constexpr ck_tile::index_t N_Warp_Tile = 32;
+    static constexpr ck_tile::index_t K_Warp_Tile = 16;
+
+    static constexpr bool DoubleSmemBuffer     = false;
+    static constexpr ck_tile::index_t Pipeline = CK_TILE_PIPELINE_COMPUTE_V3;
+    static constexpr auto Scheduler            = ck_tile::GemmPipelineScheduler::Intrawave;
+};
+
+struct GemmConfigV4
+{
+    // Compute friendly for Intrawave scheduler
+    // Using the ping pong reader in the lds level
+    static constexpr ck_tile::index_t M_Tile = 256;
+    static constexpr ck_tile::index_t N_Tile = 256;
+    static constexpr ck_tile::index_t K_Tile = 32;
+
+    static constexpr ck_tile::index_t M_Warp = 2;
+    static constexpr ck_tile::index_t N_Warp = 2;
+    static constexpr ck_tile::index_t K_Warp = 1;
+
+    static constexpr ck_tile::index_t M_Warp_Tile = 32;
+    static constexpr ck_tile::index_t N_Warp_Tile = 32;
+    static constexpr ck_tile::index_t K_Warp_Tile = 16;
+
+    static constexpr bool DoubleSmemBuffer     = true;
+    static constexpr ck_tile::index_t Pipeline = CK_TILE_PIPELINE_COMPUTE_V4;
+    static constexpr auto Scheduler            = ck_tile::GemmPipelineScheduler::Intrawave;
+};
+
+struct GemmConfigV3_Wmma
+{
+    // Compute friendly for Intrawave scheduler
+    static constexpr ck_tile::index_t M_Tile = 128;
+    static constexpr ck_tile::index_t N_Tile = 128;
+    static constexpr ck_tile::index_t K_Tile = 64;
+
+    static constexpr ck_tile::index_t M_Warp = 2;
+    static constexpr ck_tile::index_t N_Warp = 2;
+    static constexpr ck_tile::index_t K_Warp = 1;
+
+    static constexpr ck_tile::index_t M_Warp_Tile = 16;
+    static constexpr ck_tile::index_t N_Warp_Tile = 16;
+    static constexpr ck_tile::index_t K_Warp_Tile = 16;
+
+    static constexpr bool DoubleSmemBuffer     = false;
+    static constexpr ck_tile::index_t Pipeline = CK_TILE_PIPELINE_COMPUTE_V3;
+    static constexpr auto Scheduler            = ck_tile::GemmPipelineScheduler::Intrawave;
+};
+
+template <ck_tile::index_t PipelineId>
+struct PipelineTypeTraits;
+
+template <>
+struct PipelineTypeTraits<CK_TILE_PIPELINE_MEMORY>
+{
+    template <typename PipelineProblem>
+    using GemmPipeline = ck_tile::GemmPipelineAgBgCrMem<PipelineProblem>;
+    template <typename PipelineProblem>
+    using UniversalGemmPipeline = ck_tile::BaseGemmPipelineAgBgCrMem<PipelineProblem>;
+};
+
+template <>
+struct PipelineTypeTraits<CK_TILE_PIPELINE_COMPUTE_V3>
+{
+    template <typename PipelineProblem>
+    using GemmPipeline = ck_tile::GemmPipelineAgBgCrCompV3<PipelineProblem>;
+    template <typename PipelineProblem>
+    using UniversalGemmPipeline = ck_tile::BaseGemmPipelineAgBgCrCompV3<PipelineProblem>;
+};
+
+template <>
+struct PipelineTypeTraits<CK_TILE_PIPELINE_COMPUTE_V4>
+{
+    template <typename PipelineProblem>
+    using GemmPipeline = ck_tile::GemmPipelineAgBgCrCompV4<PipelineProblem>;
+    template <typename PipelineProblem>
+    using UniversalGemmPipeline = ck_tile::BaseGemmPipelineAgBgCrCompV4<PipelineProblem>;
+};
+
 auto create_args(int argc, char* argv[])
 {
     ck_tile::ArgParser arg_parser;
@@ -68,7 +159,8 @@ auto create_args(int argc, char* argv[])
 
 using gemm_multi_d_kargs = ck_tile::GemmMultiDHostArgs<DsDataType::size()>;
 
-template <typename ADataType,
+template <typename GemmConfig,
+          typename ADataType,
           typename BDataType,
           typename DsDataType,
           typename AccDataType,
diff --git a/example/ck_tile/19_gemm_multi_d/run_gemm_multi_d_fp16_example.inc b/example/ck_tile/19_gemm_multi_d/run_gemm_multi_d_fp16_example.inc
index 366eb8c81a..6a6a5a3afa 100644
--- a/example/ck_tile/19_gemm_multi_d/run_gemm_multi_d_fp16_example.inc
+++ b/example/ck_tile/19_gemm_multi_d/run_gemm_multi_d_fp16_example.inc
@@ -5,7 +5,8 @@
 #include <cstddef>
 #include "ck_tile/utility/json_dump.hpp"
 
-template <typename ADataType,
+template <typename GemmConfig,
+          typename ADataType,
           typename BDataType,
           typename DsDataType,
           typename AccDataType,
@@ -43,7 +44,8 @@ float invoke_gemm_multi_d(const void* a_m_k_dev_buf,
                                    StrideDs,
                                    StrideE});
 
-    float ave_time = gemm_multi_d<ADataType,
+    float ave_time = gemm_multi_d<GemmConfig,
+                                  ADataType,
                                   BDataType,
                                   DsDataType,
                                   AccDataType,
@@ -58,7 +60,8 @@ float invoke_gemm_multi_d(const void* a_m_k_dev_buf,
     return ave_time;
 }
 
-template <typename ALayout,
+template <typename GemmConfig,
+          typename ALayout,
           typename BLayout,
           typename D0Layout,
           typename D1Layout,
@@ -136,7 +139,8 @@ int run_multiple_d_gemm_example_with_layouts(int argc,
 
     std::array<ck_tile::index_t, DsDataType::size()> stridesDs = {StrideD0, StrideD1};
 
-    float ave_time = invoke_gemm_multi_d<ADataType,
+    float ave_time = invoke_gemm_multi_d<GemmConfig,
+                                         ADataType,
                                          BDataType,
                                          DsDataType,
                                          AccDataType,
@@ -239,6 +243,7 @@ int run_multiple_d_gemm_example_with_layouts(int argc,
     return pass;
 }
 
+template <typename GemmConfig>
 int run_multiple_d_gemm_example(int argc, char* argv[])
 {
     auto [result, arg_parser] = create_args(argc, argv);
@@ -256,7 +261,7 @@ int run_multiple_d_gemm_example(int argc, char* argv[])
 
     if(a_layout == "R" && b_layout == "C" && ds_layout == "R")
     {
-        return run_multiple_d_gemm_example_with_layouts(
+        return run_multiple_d_gemm_example_with_layouts<GemmConfig>(
             argc, argv, Row{}, Col{}, Row{}, Row{}, Row{});
     }
     else
diff --git a/example/ck_tile/20_grouped_convolution/grouped_convolution_backward_data.cpp b/example/ck_tile/20_grouped_convolution/grouped_convolution_backward_data.cpp
index 52eaab9f94..c456e7a2e8 100644
--- a/example/ck_tile/20_grouped_convolution/grouped_convolution_backward_data.cpp
+++ b/example/ck_tile/20_grouped_convolution/grouped_convolution_backward_data.cpp
@@ -13,6 +13,7 @@
 #include "grouped_convolution_utils.hpp"
 
 template <ck_tile::index_t NDimSpatial,
+          typename GemmWarpConfig,
           typename InDataType,
           typename WeiDataType,
           typename AccDataType,
@@ -36,9 +37,9 @@ float grouped_conv_bwd_data(const ck_tile::GroupedConvBwdDataHostArgs& args,
     constexpr ck_tile::index_t N_Warp = 2;
     constexpr ck_tile::index_t K_Warp = 1;
 
-    constexpr ck_tile::index_t M_Warp_Tile = 32;
-    constexpr ck_tile::index_t N_Warp_Tile = 32;
-    constexpr ck_tile::index_t K_Warp_Tile = 16;
+    constexpr ck_tile::index_t M_Warp_Tile = GemmWarpConfig::M_Warp_Tile;
+    constexpr ck_tile::index_t N_Warp_Tile = GemmWarpConfig::N_Warp_Tile;
+    constexpr ck_tile::index_t K_Warp_Tile = GemmWarpConfig::K_Warp_Tile;
 
     constexpr ck_tile::index_t VectorSizeA = 8;
     constexpr ck_tile::index_t VectorSizeB = 8;
@@ -139,7 +140,10 @@ float grouped_conv_bwd_data(const ck_tile::GroupedConvBwdDataHostArgs& args,
 
 #include "run_grouped_convolution_bwd_data_example.inc"
 
-template <typename InPrecType, typename WeiPrecType = InPrecType, typename OutPrecType = InPrecType>
+template <typename GemmWarpConfig,
+          typename InPrecType,
+          typename WeiPrecType = InPrecType,
+          typename OutPrecType = InPrecType>
 int run_grouped_conv_bwd_data_example_prec_type(
     std::string in_layout, std::string wei_layout, std::string out_layout, int argc, char* argv[])
 {
@@ -158,6 +162,7 @@ int run_grouped_conv_bwd_data_example_prec_type(
     if(in_layout == "NWGC" && wei_layout == "GKXC" && out_layout == "NWGK")
     {
         return run_grouped_conv_bwd_data_example_with_layouts<ck_tile::number<1>{},
+                                                              GemmWarpConfig,
                                                               InPrecType,
                                                               WeiPrecType,
                                                               OutPrecType>(
@@ -166,6 +171,7 @@ int run_grouped_conv_bwd_data_example_prec_type(
     else if(in_layout == "NHWGC" && wei_layout == "GKYXC" && out_layout == "NHWGK")
     {
         return run_grouped_conv_bwd_data_example_with_layouts<ck_tile::number<2>{},
+                                                              GemmWarpConfig,
                                                               InPrecType,
                                                               WeiPrecType,
                                                               OutPrecType>(
@@ -174,6 +180,7 @@ int run_grouped_conv_bwd_data_example_prec_type(
     else if(in_layout == "NDHWGC" && wei_layout == "GKZYXC" && out_layout == "NDHWGK")
     {
         return run_grouped_conv_bwd_data_example_with_layouts<ck_tile::number<3>{},
+                                                              GemmWarpConfig,
                                                               InPrecType,
                                                               WeiPrecType,
                                                               OutPrecType>(
@@ -185,6 +192,7 @@ int run_grouped_conv_bwd_data_example_prec_type(
     }
 }
 
+template <typename GemmWarpConfig>
 int run_grouped_conv_bwd_data_example(int argc, char* argv[])
 {
     auto [result, arg_parser] = create_args(argc, argv);
@@ -198,12 +206,12 @@ int run_grouped_conv_bwd_data_example(int argc, char* argv[])
 
     if(data_type == "fp16")
     {
-        return run_grouped_conv_bwd_data_example_prec_type<ck_tile::half_t>(
+        return run_grouped_conv_bwd_data_example_prec_type<GemmWarpConfig, ck_tile::half_t>(
             in_layout, wei_layout, out_layout, argc, argv);
     }
     else if(data_type == "bf16")
     {
-        return run_grouped_conv_bwd_data_example_prec_type<ck_tile::bf16_t>(
+        return run_grouped_conv_bwd_data_example_prec_type<GemmWarpConfig, ck_tile::bf16_t>(
             in_layout, wei_layout, out_layout, argc, argv);
     }
     else
@@ -212,4 +220,11 @@ int run_grouped_conv_bwd_data_example(int argc, char* argv[])
     }
 }
 
-int main(int argc, char* argv[]) { return !run_grouped_conv_bwd_data_example(argc, argv); }
+int main(int argc, char* argv[])
+{
+#if CK_TILE_USE_WMMA
+    return !run_grouped_conv_bwd_data_example<GemmWarpConfig_Wmma>(argc, argv);
+#else
+    return !run_grouped_conv_bwd_data_example<GemmWarpConfig_Mfma>(argc, argv);
+#endif
+}
diff --git a/example/ck_tile/20_grouped_convolution/grouped_convolution_backward_weight.cpp b/example/ck_tile/20_grouped_convolution/grouped_convolution_backward_weight.cpp
index debbb6bc0c..d22b0ff58c 100644
--- a/example/ck_tile/20_grouped_convolution/grouped_convolution_backward_weight.cpp
+++ b/example/ck_tile/20_grouped_convolution/grouped_convolution_backward_weight.cpp
@@ -13,6 +13,7 @@
 #include "grouped_convolution_utils.hpp"
 
 template <ck_tile::index_t NDimSpatial,
+          typename GemmWarpConfig,
           typename InDataType,
           typename WeiDataType,
           typename AccDataType,
@@ -36,9 +37,9 @@ float grouped_conv_bwd_weight(const ck_tile::GroupedConvBwdWeightHostArgs& args,
     constexpr ck_tile::index_t N_Warp = 2;
     constexpr ck_tile::index_t K_Warp = 1;
 
-    constexpr ck_tile::index_t M_Warp_Tile = 32;
-    constexpr ck_tile::index_t N_Warp_Tile = 32;
-    constexpr ck_tile::index_t K_Warp_Tile = 16;
+    constexpr ck_tile::index_t M_Warp_Tile = GemmWarpConfig::M_Warp_Tile;
+    constexpr ck_tile::index_t N_Warp_Tile = GemmWarpConfig::N_Warp_Tile;
+    constexpr ck_tile::index_t K_Warp_Tile = GemmWarpConfig::K_Warp_Tile;
 
     constexpr ck_tile::index_t VectorSizeA = 8;
     constexpr ck_tile::index_t VectorSizeB = 8;
@@ -141,7 +142,10 @@ float grouped_conv_bwd_weight(const ck_tile::GroupedConvBwdWeightHostArgs& args,
 
 #include "run_grouped_convolution_bwd_weight_example.inc"
 
-template <typename InPrecType, typename WeiPrecType = InPrecType, typename OutPrecType = InPrecType>
+template <typename GemmWarpConfig,
+          typename InPrecType,
+          typename WeiPrecType = InPrecType,
+          typename OutPrecType = InPrecType>
 int run_grouped_conv_bwd_weight_example_prec_type(
     std::string in_layout, std::string wei_layout, std::string out_layout, int argc, char* argv[])
 {
@@ -160,6 +164,7 @@ int run_grouped_conv_bwd_weight_example_prec_type(
     if(in_layout == "NWGC" && wei_layout == "GKXC" && out_layout == "NWGK")
     {
         return run_grouped_conv_bwd_weight_example_with_layouts<ck_tile::number<1>{},
+                                                                GemmWarpConfig,
                                                                 InPrecType,
                                                                 WeiPrecType,
                                                                 OutPrecType>(
@@ -168,6 +173,7 @@ int run_grouped_conv_bwd_weight_example_prec_type(
     else if(in_layout == "NHWGC" && wei_layout == "GKYXC" && out_layout == "NHWGK")
     {
         return run_grouped_conv_bwd_weight_example_with_layouts<ck_tile::number<2>{},
+                                                                GemmWarpConfig,
                                                                 InPrecType,
                                                                 WeiPrecType,
                                                                 OutPrecType>(
@@ -176,6 +182,7 @@ int run_grouped_conv_bwd_weight_example_prec_type(
     else if(in_layout == "NDHWGC" && wei_layout == "GKZYXC" && out_layout == "NDHWGK")
     {
         return run_grouped_conv_bwd_weight_example_with_layouts<ck_tile::number<3>{},
+                                                                GemmWarpConfig,
                                                                 InPrecType,
                                                                 WeiPrecType,
                                                                 OutPrecType>(
@@ -187,6 +194,7 @@ int run_grouped_conv_bwd_weight_example_prec_type(
     }
 }
 
+template <typename GemmWarpConfig>
 int run_grouped_conv_bwd_weight_example(int argc, char* argv[])
 {
     auto [result, arg_parser] = create_args(argc, argv);
@@ -200,12 +208,12 @@ int run_grouped_conv_bwd_weight_example(int argc, char* argv[])
 
     if(data_type == "fp16")
     {
-        return run_grouped_conv_bwd_weight_example_prec_type<ck_tile::half_t>(
+        return run_grouped_conv_bwd_weight_example_prec_type<GemmWarpConfig, ck_tile::half_t>(
             in_layout, wei_layout, out_layout, argc, argv);
     }
     else if(data_type == "bf16")
     {
-        return run_grouped_conv_bwd_weight_example_prec_type<ck_tile::bf16_t>(
+        return run_grouped_conv_bwd_weight_example_prec_type<GemmWarpConfig, ck_tile::bf16_t>(
             in_layout, wei_layout, out_layout, argc, argv);
     }
     else
@@ -214,4 +222,11 @@ int run_grouped_conv_bwd_weight_example(int argc, char* argv[])
     }
 }
 
-int main(int argc, char* argv[]) { return !run_grouped_conv_bwd_weight_example(argc, argv); }
+int main(int argc, char* argv[])
+{
+#if CK_TILE_USE_WMMA
+    return !run_grouped_conv_bwd_weight_example<GemmWarpConfig_Wmma>(argc, argv);
+#else
+    return !run_grouped_conv_bwd_weight_example<GemmWarpConfig_Mfma>(argc, argv);
+#endif
+}
diff --git a/example/ck_tile/20_grouped_convolution/grouped_convolution_forward.cpp b/example/ck_tile/20_grouped_convolution/grouped_convolution_forward.cpp
index 6700970583..d74fa1b292 100644
--- a/example/ck_tile/20_grouped_convolution/grouped_convolution_forward.cpp
+++ b/example/ck_tile/20_grouped_convolution/grouped_convolution_forward.cpp
@@ -13,6 +13,7 @@
 #include "grouped_convolution_utils.hpp"
 
 template <ck_tile::index_t NDimSpatial,
+          typename GemmWarpConfig,
           typename InDataType,
           typename WeiDataType,
           typename AccDataType,
@@ -35,9 +36,9 @@ float grouped_conv_fwd(const ck_tile::GroupedConvFwdHostArgs& args, const ck_til
     constexpr ck_tile::index_t N_Warp = 2;
     constexpr ck_tile::index_t K_Warp = 1;
 
-    constexpr ck_tile::index_t M_Warp_Tile = 32;
-    constexpr ck_tile::index_t N_Warp_Tile = 32;
-    constexpr ck_tile::index_t K_Warp_Tile = 16;
+    constexpr ck_tile::index_t M_Warp_Tile = GemmWarpConfig::M_Warp_Tile;
+    constexpr ck_tile::index_t N_Warp_Tile = GemmWarpConfig::N_Warp_Tile;
+    constexpr ck_tile::index_t K_Warp_Tile = GemmWarpConfig::K_Warp_Tile;
 
     constexpr ck_tile::index_t VectorSizeA = 8;
     constexpr ck_tile::index_t VectorSizeB = 8;
@@ -130,7 +131,10 @@ float grouped_conv_fwd(const ck_tile::GroupedConvFwdHostArgs& args, const ck_til
 
 #include "run_grouped_convolution_fwd_example.inc"
 
-template <typename InPrecType, typename WeiPrecType = InPrecType, typename OutPrecType = InPrecType>
+template <typename GemmWarpConfig,
+          typename InPrecType,
+          typename WeiPrecType = InPrecType,
+          typename OutPrecType = InPrecType>
 int run_grouped_conv_fwd_example_prec_type(
     std::string in_layout, std::string wei_layout, std::string out_layout, int argc, char* argv[])
 {
@@ -149,6 +153,7 @@ int run_grouped_conv_fwd_example_prec_type(
     if(in_layout == "NWGC" && wei_layout == "GKXC" && out_layout == "NWGK")
     {
         return run_grouped_conv_fwd_example_with_layouts<ck_tile::number<1>{},
+                                                         GemmWarpConfig,
                                                          InPrecType,
                                                          WeiPrecType,
                                                          OutPrecType>(
@@ -157,6 +162,7 @@ int run_grouped_conv_fwd_example_prec_type(
     else if(in_layout == "NHWGC" && wei_layout == "GKYXC" && out_layout == "NHWGK")
     {
         return run_grouped_conv_fwd_example_with_layouts<ck_tile::number<2>{},
+                                                         GemmWarpConfig,
                                                          InPrecType,
                                                          WeiPrecType,
                                                          OutPrecType>(
@@ -165,6 +171,7 @@ int run_grouped_conv_fwd_example_prec_type(
     else if(in_layout == "NDHWGC" && wei_layout == "GKZYXC" && out_layout == "GKZYXC")
     {
         return run_grouped_conv_fwd_example_with_layouts<ck_tile::number<3>{},
+                                                         GemmWarpConfig,
                                                          InPrecType,
                                                          WeiPrecType,
                                                          OutPrecType>(
@@ -176,6 +183,7 @@ int run_grouped_conv_fwd_example_prec_type(
     }
 }
 
+template <typename GemmWarpConfig>
 int run_grouped_conv_fwd_example(int argc, char* argv[])
 {
     auto [result, arg_parser] = create_args(argc, argv);
@@ -189,12 +197,12 @@ int run_grouped_conv_fwd_example(int argc, char* argv[])
 
     if(data_type == "fp16")
     {
-        return run_grouped_conv_fwd_example_prec_type<ck_tile::half_t>(
+        return run_grouped_conv_fwd_example_prec_type<GemmWarpConfig, ck_tile::half_t>(
             in_layout, wei_layout, out_layout, argc, argv);
     }
     else if(data_type == "bf16")
     {
-        return run_grouped_conv_fwd_example_prec_type<ck_tile::bf16_t>(
+        return run_grouped_conv_fwd_example_prec_type<GemmWarpConfig, ck_tile::bf16_t>(
             in_layout, wei_layout, out_layout, argc, argv);
     }
     else
@@ -203,4 +211,11 @@ int run_grouped_conv_fwd_example(int argc, char* argv[])
     }
 }
 
-int main(int argc, char* argv[]) { return !run_grouped_conv_fwd_example(argc, argv); }
+int main(int argc, char* argv[])
+{
+#if CK_TILE_USE_WMMA
+    return !run_grouped_conv_fwd_example<GemmWarpConfig_Wmma>(argc, argv);
+#else
+    return !run_grouped_conv_fwd_example<GemmWarpConfig_Mfma>(argc, argv);
+#endif
+}
diff --git a/example/ck_tile/20_grouped_convolution/grouped_convolution_utils.hpp b/example/ck_tile/20_grouped_convolution/grouped_convolution_utils.hpp
index 2bc33b9b02..ab2ce61b52 100644
--- a/example/ck_tile/20_grouped_convolution/grouped_convolution_utils.hpp
+++ b/example/ck_tile/20_grouped_convolution/grouped_convolution_utils.hpp
@@ -12,6 +12,20 @@
 #include "ck_tile/ops/gemm.hpp"
 #include "ck_tile/ops/grouped_convolution.hpp"
 
+struct GemmWarpConfig_Mfma
+{
+    static constexpr ck_tile::index_t M_Warp_Tile = 32;
+    static constexpr ck_tile::index_t N_Warp_Tile = 32;
+    static constexpr ck_tile::index_t K_Warp_Tile = 16;
+};
+
+struct GemmWarpConfig_Wmma
+{
+    static constexpr ck_tile::index_t M_Warp_Tile = 16;
+    static constexpr ck_tile::index_t N_Warp_Tile = 16;
+    static constexpr ck_tile::index_t K_Warp_Tile = 16;
+};
+
 template <typename InDataType, typename WeiDataType, typename AccDataType, typename OutDataType>
 auto calculate_rtol_atol(const ck_tile::index_t GemmK,
                          const ck_tile::index_t kbatch,
@@ -126,7 +140,3 @@ auto create_args(int argc, char* argv[])
     bool result = arg_parser.parse(argc, argv);
     return std::make_tuple(result, arg_parser);
 }
-
-// host API
-float grouped_conv_fwd(const ck_tile::GroupedConvFwdHostArgs& args,
-                       const ck_tile::stream_config& s);
diff --git a/example/ck_tile/20_grouped_convolution/run_grouped_convolution_bwd_data_example.inc b/example/ck_tile/20_grouped_convolution/run_grouped_convolution_bwd_data_example.inc
index d1cf4fade7..8519daaac2 100644
--- a/example/ck_tile/20_grouped_convolution/run_grouped_convolution_bwd_data_example.inc
+++ b/example/ck_tile/20_grouped_convolution/run_grouped_convolution_bwd_data_example.inc
@@ -3,6 +3,7 @@
 #pragma once
 
 template <ck_tile::index_t NDimSpatial,
+          typename GemmWarpConfig,
           typename InDataType,
           typename WeiDataType,
           typename AccDataType,
@@ -15,6 +16,7 @@ float invoke_grouped_conv_bwd_data(ck_tile::GroupedConvBwdDataHostArgs& args,
                                    int n_repeat)
 {
     float ave_time = grouped_conv_bwd_data<NDimSpatial,
+                                           GemmWarpConfig,
                                            InDataType,
                                            WeiDataType,
                                            AccDataType,
@@ -36,6 +38,7 @@ float invoke_grouped_conv_bwd_data(ck_tile::GroupedConvBwdDataHostArgs& args,
 }
 
 template <ck_tile::index_t NDimSpatial,
+          typename GemmWarpConfig,
           typename InDataType,
           typename WeiDataType = InDataType,
           typename OutDataType = InDataType,
@@ -136,6 +139,7 @@ int run_grouped_conv_bwd_data_example_with_layouts(
     std::cout << "output: " << output.mDesc << std::endl;
 
     invoke_grouped_conv_bwd_data<NDimSpatial,
+                                 GemmWarpConfig,
                                  InDataType,
                                  WeiDataType,
                                  AccDataType,
diff --git a/example/ck_tile/20_grouped_convolution/run_grouped_convolution_bwd_weight_example.inc b/example/ck_tile/20_grouped_convolution/run_grouped_convolution_bwd_weight_example.inc
index 6792e70ebf..eedc341235 100644
--- a/example/ck_tile/20_grouped_convolution/run_grouped_convolution_bwd_weight_example.inc
+++ b/example/ck_tile/20_grouped_convolution/run_grouped_convolution_bwd_weight_example.inc
@@ -3,6 +3,7 @@
 #pragma once
 
 template <ck_tile::index_t NDimSpatial,
+          typename GemmWarpConfig,
           typename InDataType,
           typename WeiDataType,
           typename AccDataType,
@@ -15,6 +16,7 @@ float invoke_grouped_conv_bwd_weight(ck_tile::GroupedConvBwdWeightHostArgs& args
                                      int n_repeat)
 {
     float ave_time = grouped_conv_bwd_weight<NDimSpatial,
+                                             GemmWarpConfig,
                                              InDataType,
                                              WeiDataType,
                                              AccDataType,
@@ -36,6 +38,7 @@ float invoke_grouped_conv_bwd_weight(ck_tile::GroupedConvBwdWeightHostArgs& args
 }
 
 template <ck_tile::index_t NDimSpatial,
+          typename GemmWarpConfig,
           typename InDataType,
           typename WeiDataType = InDataType,
           typename OutDataType = InDataType,
@@ -136,6 +139,7 @@ int run_grouped_conv_bwd_weight_example_with_layouts(
     std::cout << "output: " << output.mDesc << std::endl;
 
     invoke_grouped_conv_bwd_weight<NDimSpatial,
+                                   GemmWarpConfig,
                                    InDataType,
                                    WeiDataType,
                                    AccDataType,
diff --git a/example/ck_tile/20_grouped_convolution/run_grouped_convolution_fwd_example.inc b/example/ck_tile/20_grouped_convolution/run_grouped_convolution_fwd_example.inc
index 3532e343bb..c5ae92a0da 100644
--- a/example/ck_tile/20_grouped_convolution/run_grouped_convolution_fwd_example.inc
+++ b/example/ck_tile/20_grouped_convolution/run_grouped_convolution_fwd_example.inc
@@ -3,6 +3,7 @@
 #pragma once
 
 template <ck_tile::index_t NDimSpatial,
+          typename GemmWarpConfig,
           typename InDataType,
           typename WeiDataType,
           typename AccDataType,
@@ -15,6 +16,7 @@ float invoke_grouped_conv_fwd(const ck_tile::GroupedConvFwdHostArgs& args,
                               int n_repeat)
 {
     float ave_time = grouped_conv_fwd<NDimSpatial,
+                                      GemmWarpConfig,
                                       InDataType,
                                       WeiDataType,
                                       AccDataType,
@@ -36,6 +38,7 @@ float invoke_grouped_conv_fwd(const ck_tile::GroupedConvFwdHostArgs& args,
 }
 
 template <ck_tile::index_t NDimSpatial,
+          typename GemmWarpConfig,
           typename InDataType,
           typename WeiDataType = InDataType,
           typename OutDataType = InDataType,
@@ -136,6 +139,7 @@ int run_grouped_conv_fwd_example_with_layouts(
     std::cout << "output: " << output.mDesc << std::endl;
 
     invoke_grouped_conv_fwd<NDimSpatial,
+                            GemmWarpConfig,
                             InDataType,
                             WeiDataType,
                             AccDataType,
diff --git a/include/ck_tile/ops/elementwise/kernel/elementwise_kernel.hpp b/include/ck_tile/ops/elementwise/kernel/elementwise_kernel.hpp
index 351c2a0fcf..a31edbdd2b 100644
--- a/include/ck_tile/ops/elementwise/kernel/elementwise_kernel.hpp
+++ b/include/ck_tile/ops/elementwise/kernel/elementwise_kernel.hpp
@@ -25,6 +25,7 @@ struct ElementWiseKernel
     {
         return is_wave32() ? kBlockSize / 2 : kBlockSize;
     }
+
     template <typename... XDataType, typename Dims>
     CK_TILE_DEVICE void operator()(const Dims lens,
                                    const Dims input_strides,
diff --git a/include/ck_tile/ops/grouped_convolution/kernel/grouped_convolution_backward_data_kernel.hpp b/include/ck_tile/ops/grouped_convolution/kernel/grouped_convolution_backward_data_kernel.hpp
index 75b1a5c11a..260bfe74ec 100644
--- a/include/ck_tile/ops/grouped_convolution/kernel/grouped_convolution_backward_data_kernel.hpp
+++ b/include/ck_tile/ops/grouped_convolution/kernel/grouped_convolution_backward_data_kernel.hpp
@@ -529,7 +529,10 @@ struct GroupedConvolutionBackwardDataKernel
         return dim3(kargs.grid_size_, kargs.GemmBatch, kargs.k_batch);
     }
 
-    CK_TILE_HOST static constexpr auto BlockSize() { return dim3(kBlockSize); }
+    CK_TILE_HOST static constexpr auto BlockSize()
+    {
+        return is_wave32() ? dim3(kBlockSize / 2) : dim3(kBlockSize);
+    }
 
     CK_TILE_HOST static constexpr GroupedConvBwdDataKernelArgsSpecialized
     MakeKernelArgs(const GroupedConvBwdDataHostArgs& hostArgs)
diff --git a/include/ck_tile/ops/grouped_convolution/kernel/grouped_convolution_backward_weight_kernel.hpp b/include/ck_tile/ops/grouped_convolution/kernel/grouped_convolution_backward_weight_kernel.hpp
index 38276ee4e1..825aef3970 100644
--- a/include/ck_tile/ops/grouped_convolution/kernel/grouped_convolution_backward_weight_kernel.hpp
+++ b/include/ck_tile/ops/grouped_convolution/kernel/grouped_convolution_backward_weight_kernel.hpp
@@ -392,7 +392,10 @@ struct GroupedConvolutionBackwardWeightKernel
             TilePartitioner::GridSize(kargs.GemmM, kargs.GemmN), kargs.GemmBatch, kargs.k_batch);
     }
 
-    CK_TILE_HOST static constexpr auto BlockSize() { return dim3(kBlockSize); }
+    CK_TILE_HOST static constexpr auto BlockSize()
+    {
+        return is_wave32() ? dim3(kBlockSize / 2) : dim3(kBlockSize);
+    }
 
     CK_TILE_HOST static constexpr GroupedConvBwdWeightKernelArgsSpecialized
     MakeKernelArgs(const GroupedConvBwdWeightHostArgs& hostArgs)
diff --git a/include/ck_tile/ops/grouped_convolution/kernel/grouped_convolution_forward_kernel.hpp b/include/ck_tile/ops/grouped_convolution/kernel/grouped_convolution_forward_kernel.hpp
index d4f4eca0d0..cf4eca7a2d 100644
--- a/include/ck_tile/ops/grouped_convolution/kernel/grouped_convolution_forward_kernel.hpp
+++ b/include/ck_tile/ops/grouped_convolution/kernel/grouped_convolution_forward_kernel.hpp
@@ -398,7 +398,10 @@ struct GroupedConvolutionForwardKernel
             TilePartitioner::GridSize(kargs.GemmM, kargs.GemmN), kargs.GemmBatch, kargs.k_batch);
     }
 
-    CK_TILE_HOST static constexpr auto BlockSize() { return dim3(kBlockSize); }
+    CK_TILE_HOST static auto BlockSize()
+    {
+        return is_wave32() ? dim3(kBlockSize / 2) : dim3(kBlockSize);
+    }
 
     CK_TILE_HOST static constexpr GroupedConvFwdKernelArgsSpecialized
     MakeKernelArgs(const GroupedConvFwdHostArgs& hostArgs)