diff --git a/include/micm/cuda/util/cuda_dense_matrix.hpp b/include/micm/cuda/util/cuda_dense_matrix.hpp
index 37a7943c..ba2b6ad9 100644
--- a/include/micm/cuda/util/cuda_dense_matrix.hpp
+++ b/include/micm/cuda/util/cuda_dense_matrix.hpp
@@ -231,8 +231,10 @@ namespace micm
     {
       if constexpr (std::is_same_v<T, int>)
       {
-        // the cudaMemset function only works for integer types and is an asynchronous function: https://docs.nvidia.com/cuda/cuda-runtime-api/group__CUDART__MEMORY.html#group__CUDART__MEMORY_1gf7338650f7683c51ee26aadc6973c63a
-        CHECK_CUDA_ERROR(cudaMemset(this->param_.d_data_, val, sizeof(double) * this->param_.number_of_elements_), "cudaMemset");
+        // the cudaMemset function only works for integer types and is an asynchronous function:
+        // https://docs.nvidia.com/cuda/cuda-runtime-api/group__CUDART__MEMORY.html#group__CUDART__MEMORY_1gf7338650f7683c51ee26aadc6973c63a
+        CHECK_CUDA_ERROR(
+            cudaMemset(this->param_.d_data_, val, sizeof(double) * this->param_.number_of_elements_), "cudaMemset");
       }
       else
       {
diff --git a/include/micm/cuda/util/cuda_matrix.cuh b/include/micm/cuda/util/cuda_matrix.cuh
index bd654dac..f68efef6 100644
--- a/include/micm/cuda/util/cuda_matrix.cuh
+++ b/include/micm/cuda/util/cuda_matrix.cuh
@@ -41,7 +41,6 @@ namespace micm
     /// @returns Error code from copying to destination device memory from source device memory, if any
     cudaError_t CopyToDeviceFromDevice(CudaMatrixParam& vectorMatrixDest, const CudaMatrixParam& vectorMatrixSrc);
 
-
     /// @brief Fills a CUDA matrix with a specified value
     /// @param param Struct containing allocated device memory
     /// @param val Value to fill the matrix with
diff --git a/include/micm/cuda/util/cuda_sparse_matrix.hpp b/include/micm/cuda/util/cuda_sparse_matrix.hpp
index a40fc81a..25a92d4b 100644
--- a/include/micm/cuda/util/cuda_sparse_matrix.hpp
+++ b/include/micm/cuda/util/cuda_sparse_matrix.hpp
@@ -131,8 +131,10 @@ namespace micm
     {
       if constexpr (std::is_same_v<T, int>)
       {
-        // the cudaMemset function only works for integer types and is an asynchronous function: https://docs.nvidia.com/cuda/cuda-runtime-api/group__CUDART__MEMORY.html#group__CUDART__MEMORY_1gf7338650f7683c51ee26aadc6973c63a
-        CHECK_CUDA_ERROR(cudaMemset(this->param_.d_data_, val, sizeof(double) * this->param_.number_of_elements_), "cudaMemset");
+        // the cudaMemset function only works for integer types and is an asynchronous function:
+        // https://docs.nvidia.com/cuda/cuda-runtime-api/group__CUDART__MEMORY.html#group__CUDART__MEMORY_1gf7338650f7683c51ee26aadc6973c63a
+        CHECK_CUDA_ERROR(
+            cudaMemset(this->param_.d_data_, val, sizeof(double) * this->param_.number_of_elements_), "cudaMemset");
       }
       else
       {
diff --git a/src/util/cuda_matrix.cu b/src/util/cuda_matrix.cu
index 1f4b9736..cc0e373a 100644
--- a/src/util/cuda_matrix.cu
+++ b/src/util/cuda_matrix.cu
@@ -1,8 +1,9 @@
 // Copyright (C) 2023-2024 National Center for Atmospheric Research
 // SPDX-License-Identifier: Apache-2.0
 #include <micm/cuda/util/cuda_matrix.cuh>
-#include <micm/util/internal_error.hpp>
 #include <micm/cuda/util/cuda_param.hpp>
+#include <micm/util/internal_error.hpp>
+
 #include <cuda_runtime.h>
 
 #include <vector>