Local Array

This section introduces RAJA local arrays. A RAJA::LocalArray is a multi-dimensional array object whose memory is allocated when a RAJA kernel is executed and only lives within the scope of the kernel execution. To motivate the concept and usage, consider a simple C++ example in which we construct and use two arrays in nested loops:

for(int k = 0; k < 7; ++k) { //k loop

 int a_array[7][5];
 int b_array[5];

  for(int j = 0; j < 5; ++j) { //j loop
    a_array[k][j] = 5*k + j;
    b_array[j] = 7*j + k;

  for(int j = 0; j < 5; ++j) { //j loop
    printf("%d %d \n",a_array[k][j], b_array[j]);


Here, two stack-allocated arrays are defined inside the outer ‘k’ loop and used in both inner ‘j’ loops. This loop pattern may be also be expressed using RAJA local arrays in a RAJA::kernel_param kernel. We show a RAJA variant below, which matches the implementation above, and then discuss its constituent parts:

// Define two local arrays

using RAJA_a_array = RAJA::LocalArray<int, RAJA::Perm<0, 1>, RAJA::SizeList<5,7> >;
RAJA_a_array kernel_a_array;

using RAJA_b_array = RAJA::LocalArray<int, RAJA::Perm<0>, RAJA::SizeList<5> >;
RAJA_b_array kernel_b_array;

// Define the kernel execution policy

using POL = RAJA::KernelPolicy<
              RAJA::statement::For<1, RAJA::loop_exec,
                RAJA::statement::InitLocalMem<RAJA::cpu_tile_mem, RAJA::ParamList<0, 1>,
                  RAJA::statement::For<0, RAJA::loop_exec,
                  RAJA::statement::For<0, RAJA::loop_exec,

// Define the kernel

RAJA::kernel_param<POL> ( RAJA::make_tuple(RAJA::RangeSegment(0,5),
                          RAJA::make_tuple(kernel_a_array, kernel_b_array),

  [=] (int j, int k, RAJA_a_array& kernel_a_array, RAJA_b_array& kernel_b_array) {
    a_array(k, j) = 5*k + j;
    b_array(j) = 5*k + j;

  [=] (int j, int k, RAJA_a_array& a_array, RAJA_b_array& b_array) {
    printf("%d %d \n", kernel_a_array(k, j), kernel_b_array(j));


The RAJA version defines two RAJA::LocalArray types, one two-dimensional and one one-dimensional and creates an instance of each type. The template arguments for the RAJA::LocalArray types are:

  • Array data type
  • Index permutation (see View and Layout for more on layouts and permutations)
  • Array dimensions


RAJA::LocalArray types support arbitrary dimensions and sizes.

The kernel policy is a two-level nested loop policy (see loop_elements-kernel-label` for more information) with a statement type RAJA::statement::InitLocalMem inserted between the nested for-loops which allocates the memory for the local arrays when the kernel executes. The InitLocalMem statement type uses a ‘CPU tile’ memory type, for the two entries ‘0’ and ‘1’ in the kernel parameter tuple (second argument to RAJA::kernel_param). Then, the inner initialization loop and inner print loops are run with the respective lambda bodies defined in the kernel.

Memory Policies

RAJA::LocalArray supports CPU stack-allocated memory and CUDA GPU shared memory and thread private memory. See Local Array Memory Policies for a discussion of available memory policies.