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 2571961c6b..3d0d504427 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
@@ -215,9 +215,21 @@ int run(const std::string& in_layout,
     {
         return run_grouped_conv_bwd_weight_example_prec_type<InPrecType, 8>(in_layout, wei_layout, out_layout, argc, argv);
     }
+    else if (num_groups_to_merge == 16)
+    {
+        return run_grouped_conv_bwd_weight_example_prec_type<InPrecType, 16>(in_layout, wei_layout, out_layout, argc, argv);
+    }
+    else if (num_groups_to_merge == 32)
+    {
+        return run_grouped_conv_bwd_weight_example_prec_type<InPrecType, 32>(in_layout, wei_layout, out_layout, argc, argv);
+    }
+    else if (num_groups_to_merge == 64)
+    {
+        return run_grouped_conv_bwd_weight_example_prec_type<InPrecType, 64>(in_layout, wei_layout, out_layout, argc, argv);
+    }
     else
     {
-        throw std::runtime_error("Unsupported number of groups to merge!");
+        throw std::runtime_error("Unsupported number of groups to merge! The number of groups should be a power of two and at most 64.");
     }
 }
 
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 b571a61633..3e4eec13a9 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
@@ -82,9 +82,11 @@ struct GroupedConvBwdWeightKernelArgs
         b_grid_desc_n_k = grid_descs.at(number<1>{});
         c_grid_desc_m_n = grid_descs.at(number<2>{});
 
-        group_stride_a = args.K_;            // A: Out NWGK
-        group_stride_b = args.C_;            // B: In  NWGC
-        group_stride_c = args.K_ * args.C_ * // C: Wei GKXC
+        using Gm = GroupedConvTraitsType_::NumGroupsToMerge;
+
+        group_stride_a = args.K_ * Gm;            // A: Out NWGK
+        group_stride_b = args.C_ * Gm;            // B: In  NWGC
+        group_stride_c = args.K_ * args.C_ * Gm * // C: Wei GKXC
                          std::accumulate(args.filter_spatial_lengths_.begin(),
                                          args.filter_spatial_lengths_.end(),
                                          1,
@@ -93,7 +95,7 @@ struct GroupedConvBwdWeightKernelArgs
         GemmM     = a_grid_desc_m_k.get_length(number<0>{});
         GemmN     = b_grid_desc_n_k.get_length(number<0>{});
         GemmK     = a_grid_desc_m_k.get_length(number<1>{});
-        GemmBatch = args.G_;
+        GemmBatch = args.G_ / Gm;
     }
 
     template <
@@ -158,9 +160,11 @@ struct GroupedConvBwdWeightKernelArgs
         b_grid_desc_n_k = grid_descs.at(number<1>{});
         c_grid_desc_m_n = grid_descs.at(number<2>{});
 
-        group_stride_a = args.K_;            // A: Out NHWGK
-        group_stride_b = args.C_;            // B: In  NHWGC
-        group_stride_c = args.K_ * args.C_ * // C: Wei GKYXC
+        using Gm = GroupedConvTraitsType_::NumGroupsToMerge;
+
+        group_stride_a = args.K_ * Gm;            // A: Out NHWGK
+        group_stride_b = args.C_ * Gm;            // B: In  NHWGC
+        group_stride_c = args.K_ * args.C_ * Gm * // C: Wei GKYXC
                          std::accumulate(args.filter_spatial_lengths_.begin(),
                                          args.filter_spatial_lengths_.end(),
                                          1,
@@ -169,7 +173,7 @@ struct GroupedConvBwdWeightKernelArgs
         GemmM     = a_grid_desc_m_k.get_length(number<0>{});
         GemmN     = b_grid_desc_n_k.get_length(number<0>{});
         GemmK     = a_grid_desc_m_k.get_length(number<1>{});
-        GemmBatch = args.G_;
+        GemmBatch = args.G_ / Gm;
     }
 
     template <
@@ -241,9 +245,11 @@ struct GroupedConvBwdWeightKernelArgs
         b_grid_desc_n_k = grid_descs.at(number<1>{});
         c_grid_desc_m_n = grid_descs.at(number<2>{});
 
-        group_stride_a = args.K_;            // A: Out NDHWGK
-        group_stride_b = args.C_;            // B: In  NDHWGC
-        group_stride_c = args.K_ * args.C_ * // C: wEI GKZYXC
+        using Gm = GroupedConvTraitsType_::NumGroupsToMerge;
+
+        group_stride_a = args.K_ * Gm;            // A: Out NDHWGK
+        group_stride_b = args.C_ * Gm;            // B: In  NDHWGC
+        group_stride_c = args.K_ * args.C_ * Gm * // C: wEI GKZYXC
                          std::accumulate(args.filter_spatial_lengths_.begin(),
                                          args.filter_spatial_lengths_.end(),
                                          1,
@@ -252,7 +258,7 @@ struct GroupedConvBwdWeightKernelArgs
         GemmM     = a_grid_desc_m_k.get_length(number<0>{});
         GemmN     = b_grid_desc_n_k.get_length(number<0>{});
         GemmK     = a_grid_desc_m_k.get_length(number<1>{});
-        GemmBatch = args.G_;
+        GemmBatch = args.G_ / Gm;
     }
 
     using ABCGridDescs = remove_cvref_t<