diff --git a/CMakeLists.txt b/CMakeLists.txt
index 4abce126..7d0a7fd0 100644
--- a/CMakeLists.txt
+++ b/CMakeLists.txt
@@ -22,4 +22,7 @@ target_link_libraries(SliceWrapper Omega_h::omega_h)
 target_link_libraries(SliceWrapper Cabana::cabanacore)
 target_compile_definitions(SliceWrapper PUBLIC ENABLE_CABANA)
 
-add_test(sliceWrapper ./SliceWrapper)
+add_test(sliceWrapper10 ./SliceWrapper 10)
+add_test(sliceWrapper32 ./SliceWrapper 32)
+add_test(sliceWrapper33 ./SliceWrapper 33)
+add_test(sliceWrapper50 ./SliceWrapper 50)
diff --git a/src/SliceWrapper.hpp b/src/SliceWrapper.hpp
index 8e9db0b1..0c852610 100644
--- a/src/SliceWrapper.hpp
+++ b/src/SliceWrapper.hpp
@@ -11,15 +11,22 @@ struct SliceWrapper {
   SliceWrapper(SliceType st) : st_(st)  {}
   
   KOKKOS_INLINE_FUNCTION
-  T& access(const int s, const int a) const {
+  T& access(int s, int a) const {
     return st_.access(s,a);
   }
-  int arraySize(int s) {
-    return st_.arraySize(s);
+  KOKKOS_INLINE_FUNCTION
+  auto& access(int s, int a, int i) const {
+    return st_.access(s,a,i);
   }
-  int numSoA() {
-    return st_.numSoA();
+  KOKKOS_INLINE_FUNCTION
+  auto& access(int s, int a, int i, int j) const {
+    return st_.access(s,a,i,j);
   }
+  KOKKOS_INLINE_FUNCTION
+  auto& access(int s, int a, int i, int j, int k) const {
+    return st_.access(s,a,i,j,k);
+  }
+  
 };
 
 using namespace Cabana;
@@ -33,6 +40,13 @@ class CabSliceFactory {
   static constexpr int vecLen = Cabana::AoSoA<DataTypes, DeviceType>::vector_length;
 private:
   using soa_t = SoA<DataTypes, vecLen>;
+
+  template <std::size_t index>
+  using member_data_t = typename Cabana::MemberTypeAtIndex<index, DataTypes>::type;
+
+  template <std::size_t index>
+      using member_value_t =
+    typename std::remove_all_extents<member_data_t<index>>::type;
   
   template <class T, int stride>
   using member_slice_t = 
@@ -49,12 +63,16 @@ class CabSliceFactory {
   template <std::size_t index>
   auto makeSliceCab() {
     using type = std::tuple_element_t<index, TypeTuple>;
-    const int stride = sizeof(soa_t) / sizeof(type);
+    const int stride = sizeof(soa_t) / sizeof(member_value_t<index>);
     auto slice = Cabana::slice<index>(aosoa);
     return wrapper_slice_t< type, stride >(std::move(slice));
   }
   
-  CabSliceFactory(int n) : aosoa("sliceAoSoA", n) {}
+  CabSliceFactory(int n) : aosoa("sliceAoSoA", n) {
+    if (sizeof...(Ts) == 0) {
+      throw std::invalid_argument("Must provide at least one member type in template definition");
+    }
+  }
 };
 
 
diff --git a/test/SliceWrapper.cpp b/test/SliceWrapper.cpp
index cbd26dce..f151a72c 100644
--- a/test/SliceWrapper.cpp
+++ b/test/SliceWrapper.cpp
@@ -1,11 +1,175 @@
 #include "SliceWrapper.hpp"
+#include <stdio.h>
 
-int main(int argc, char* argv[]) {
-  // AoSoA parameters
-  int num_tuples = 10;
+int rank1_array_test(int num_tuples) {
+  using ExecutionSpace = Kokkos::DefaultExecutionSpace;
+  using MemorySpace = ExecutionSpace::memory_space;
+
+  const int width = 3;
   
-  Kokkos::ScopeGuard scope_guard(argc, argv);
+  // Slice Wrapper Factory
+  CabSliceFactory<ExecutionSpace, MemorySpace,
+		  double[width]> cabSliceFactory(num_tuples);
+  
+  auto slice_wrapper0 = cabSliceFactory.makeSliceCab<0>();
+  
+  // simd_parallel_for setup
+  Cabana::SimdPolicy<cabSliceFactory.vecLen, ExecutionSpace> simd_policy(0, num_tuples);
+
+  // kernel that reads and writes
+  auto vector_kernel = KOKKOS_LAMBDA(const int s, const int a) {
+    for (int i = 0; i < width; i++) {
+      double x = 42/(s+a+i+1.3);
+      slice_wrapper0.access(s,a,i) = x;
+      assert(slice_wrapper0.access(s,a,i) == x);
+    }
+  };
 
+  Cabana::simd_parallel_for(simd_policy, vector_kernel, "parallel_for_rank1_array_test");
+  return 0;
+  
+}
+
+int rank2_array_test(int num_tuples) {
+  using ExecutionSpace = Kokkos::DefaultExecutionSpace;
+  using MemorySpace = ExecutionSpace::memory_space;
+
+  const int width = 3;
+  const int height = 4;
+  
+  // Slice Wrapper Factory
+  CabSliceFactory<ExecutionSpace, MemorySpace,
+		  double[width][height]> cabSliceFactory(num_tuples);
+  
+  auto slice_wrapper0 = cabSliceFactory.makeSliceCab<0>();
+  
+  // simd_parallel_for setup
+  Cabana::SimdPolicy<cabSliceFactory.vecLen, ExecutionSpace> simd_policy(0, num_tuples);
+
+  // kernel that reads and writes
+  auto vector_kernel = KOKKOS_LAMBDA(const int s, const int a) {
+    for (int i = 0; i < width; i++) {
+      for (int j = 0; j < height; j++) {
+	double x = 42/(s+a+i+j+1.3);
+        slice_wrapper0.access(s,a,i,j) = x;
+        assert(slice_wrapper0.access(s,a,i,j) == x);
+      }
+    }
+  };
+
+  Cabana::simd_parallel_for(simd_policy, vector_kernel, "parallel_for_rank2_array_test");
+  return 0;  
+}
+
+int rank3_array_test(int num_tuples) {
+  using ExecutionSpace = Kokkos::DefaultExecutionSpace;
+  using MemorySpace = ExecutionSpace::memory_space;
+
+  const int width = 3;
+  const int height = 4;
+  const int depth = 2;
+  
+  // Slice Wrapper Factory
+  CabSliceFactory<ExecutionSpace, MemorySpace,
+		  double[width][height][depth]> cabSliceFactory(num_tuples);
+  
+  auto slice_wrapper0 = cabSliceFactory.makeSliceCab<0>();
+  
+  // simd_parallel_for setup
+  Cabana::SimdPolicy<cabSliceFactory.vecLen, ExecutionSpace> simd_policy(0, num_tuples);
+
+  // kernel that reads and writes
+  auto vector_kernel = KOKKOS_LAMBDA(const int s, const int a) {
+    for (int i = 0; i < width; i++) {
+      for (int j = 0; j < height; j++) {
+	for (int k = 0; k < depth; k++) {
+	  double x = 42/(s+a+i+j+k+1.3);
+          slice_wrapper0.access(s,a,i,j,k) = x;
+          assert(slice_wrapper0.access(s,a,i,j,k) == x);
+	}
+      }
+    }
+  };
+
+  Cabana::simd_parallel_for(simd_policy, vector_kernel, "parallel_for_rank3_array_test");
+  return 0;
+}
+
+int mix_arrays_test(int num_tuples) {
+  using ExecutionSpace = Kokkos::DefaultExecutionSpace;
+  using MemorySpace = ExecutionSpace::memory_space;
+
+  const int width = 3;
+  const int height = 4;
+  const int depth = 2;
+  
+  // Slice Wrapper Factory
+  CabSliceFactory<ExecutionSpace, MemorySpace,
+		  double[width], char, double[width][height][depth],
+		  float[width][height]> cabSliceFactory(num_tuples);
+  
+  auto slice_wrapper0 = cabSliceFactory.makeSliceCab<0>();
+  auto slice_wrapper1 = cabSliceFactory.makeSliceCab<1>();
+  auto slice_wrapper2 = cabSliceFactory.makeSliceCab<2>();
+  auto slice_wrapper3 = cabSliceFactory.makeSliceCab<3>();
+    
+  // simd_parallel_for setup
+  Cabana::SimdPolicy<cabSliceFactory.vecLen, ExecutionSpace> simd_policy(0, num_tuples);
+
+  // kernel that reads and writes
+  auto vector_kernel = KOKKOS_LAMBDA(const int s, const int a) {
+    char x0 = 'a'+(s+a);
+    slice_wrapper1.access(s,a) = x0;
+    assert(slice_wrapper1.access(s,a) == x0);
+    
+    for (int i = 0; i < width; i++) {
+      double x1 = 42/(s+a+i+1.3);
+      slice_wrapper0.access(s,a,i) = x1;
+      assert(slice_wrapper0.access(s,a,i) == x1);
+      
+      for (int j = 0; j < height; j++) {
+	double x2 = float(x1/(j+1.2));
+	slice_wrapper3.access(s,a,i,j) = x2;
+        assert(slice_wrapper3.access(s,a,i,j) == x2);
+	
+	for (int k = 0; k < depth; k++) {
+	  double x3 = x2*x1+k;
+          slice_wrapper2.access(s,a,i,j,k) = x3;
+          assert(slice_wrapper2.access(s,a,i,j,k) == x3);
+	}
+      }
+    }
+  };
+
+  Cabana::simd_parallel_for(simd_policy, vector_kernel, "parallel_for_mix_arrays_test");
+  return 0;
+}
+
+int single_type_test(int num_tuples) {
+  using ExecutionSpace = Kokkos::DefaultExecutionSpace;
+  using MemorySpace = ExecutionSpace::memory_space;
+  
+  // Slice Wrapper Factory
+  CabSliceFactory<ExecutionSpace, MemorySpace,
+		  double> cabSliceFactory(num_tuples);
+  
+  auto slice_wrapper0 = cabSliceFactory.makeSliceCab<0>();
+  
+  // simd_parallel_for setup
+  Cabana::SimdPolicy<cabSliceFactory.vecLen, ExecutionSpace> simd_policy(0, num_tuples);
+
+  // kernel that reads and writes
+  auto vector_kernel = KOKKOS_LAMBDA(const int s, const int a) {
+    double x = 42/(s+a+1.3);
+    slice_wrapper0.access(s,a) = x;
+    assert(slice_wrapper0.access(s,a) == x);
+  };
+
+  Cabana::simd_parallel_for(simd_policy, vector_kernel, "parallel_for_single_type_test");
+  return 0;
+}
+
+int multi_type_test(int num_tuples) {
   using ExecutionSpace = Kokkos::DefaultExecutionSpace;
   using MemorySpace = ExecutionSpace::memory_space;
   
@@ -23,20 +187,97 @@ int main(int argc, char* argv[]) {
 
   // kernel that reads and writes
   auto vector_kernel = KOKKOS_LAMBDA(const int s, const int a) {
-    printf("s: %d, a: %d\n", s,a);
     double x = 42/(s+a+1.3);
+    char c = 'a'+s+a;
     slice_wrapper0.access(s,a) = x;
     slice_wrapper1.access(s,a) = s+a;
     slice_wrapper2.access(s,a) = float(x);
-    slice_wrapper3.access(s,a) = 'a'+s+a;
-    printf("SW0 value: %lf\n", slice_wrapper0.access(s,a));
-    printf("SW1 value: %d\n", slice_wrapper1.access(s,a));
-    printf("SW2 value: %f\n", slice_wrapper2.access(s,a));
-    printf("SW3 value: %c\n", slice_wrapper3.access(s,a));
+    slice_wrapper3.access(s,a) = c;
+    
+    assert(slice_wrapper0.access(s,a) == x);
+    assert(slice_wrapper1.access(s,a) == s+a);
+    assert(slice_wrapper2.access(s,a) == float(x));
+    assert(slice_wrapper3.access(s,a) == c);
+  };
+
+  Cabana::simd_parallel_for(simd_policy, vector_kernel, "parallel_for_multi_type_test");
+  return 0;
+}
+
+int many_type_test(int num_tuples) {
+  using ExecutionSpace = Kokkos::DefaultExecutionSpace;
+  using MemorySpace = ExecutionSpace::memory_space;
+  
+  // Slice Wrapper Factory
+  CabSliceFactory<ExecutionSpace, MemorySpace,
+		  long double, double, double,
+		  long unsigned int, float, int,
+		  short int, char, char> cabSliceFactory(num_tuples);
+  
+  auto slice_wrapper0 = cabSliceFactory.makeSliceCab<0>();
+  auto slice_wrapper1 = cabSliceFactory.makeSliceCab<1>();
+  auto slice_wrapper2 = cabSliceFactory.makeSliceCab<2>();
+  auto slice_wrapper3 = cabSliceFactory.makeSliceCab<3>();
+  auto slice_wrapper4 = cabSliceFactory.makeSliceCab<4>();
+  auto slice_wrapper5 = cabSliceFactory.makeSliceCab<5>();
+  auto slice_wrapper6 = cabSliceFactory.makeSliceCab<6>();
+  auto slice_wrapper7 = cabSliceFactory.makeSliceCab<7>();
+  auto slice_wrapper8 = cabSliceFactory.makeSliceCab<8>();
+  
+  // simd_parallel_for setup
+  Cabana::SimdPolicy<cabSliceFactory.vecLen, ExecutionSpace> simd_policy(0, num_tuples);
+
+  // kernel that reads and writes
+  auto vector_kernel = KOKKOS_LAMBDA(const int s, const int a) {
+    double d0 = 42/(s+a+1.3);
+    double d1 = d0*d0;
+    double d2 = d1/123.456751;
+    float f0 = 0;
+    char c0 = 'a'+s+a;
+    char c1 = 'a'+((s*a+a) % 26);
+    int i0 = s+a;
+    int i1 = s+a/int(d0);
+    int i2 = i0+i1;
+    slice_wrapper0.access(s,a) = d0;
+    slice_wrapper1.access(s,a) = d1;
+    slice_wrapper2.access(s,a) = d2;
+    slice_wrapper3.access(s,a) = i0;
+    slice_wrapper4.access(s,a) = f0;
+    slice_wrapper5.access(s,a) = i1;
+    slice_wrapper6.access(s,a) = i2;
+    slice_wrapper7.access(s,a) = c0;
+    slice_wrapper8.access(s,a) = c1;
+    
+    assert(slice_wrapper0.access(s,a) == d0);
+    assert(slice_wrapper1.access(s,a) == d1);
+    assert(slice_wrapper2.access(s,a) == d2);
+    assert(slice_wrapper3.access(s,a) == i0);
+    assert(slice_wrapper4.access(s,a) == f0);
+    assert(slice_wrapper5.access(s,a) == i1);
+    assert(slice_wrapper6.access(s,a) == i2);
+    assert(slice_wrapper7.access(s,a) == c0);
+    assert(slice_wrapper8.access(s,a) == c1);
   };
 
-  Cabana::simd_parallel_for(simd_policy, vector_kernel, "parallel_for_cabSliceFactory");
+  Cabana::simd_parallel_for(simd_policy, vector_kernel, "parallel_for_many_type_test");
+  return 0;
+}
+
+int main(int argc, char* argv[]) {
+  // AoSoA parameters
+  int num_tuples = atoi(argv[1]);
+  
+  Kokkos::ScopeGuard scope_guard(argc, argv);
 
+  many_type_test(num_tuples);
+  single_type_test(num_tuples);
+  multi_type_test(num_tuples);
+  
+  rank1_array_test(num_tuples);
+  rank2_array_test(num_tuples);
+  rank3_array_test(num_tuples);
+  mix_arrays_test(num_tuples);  
+  
   assert(cudaSuccess == cudaDeviceSynchronize());
   printf("done\n");