# Arrays : Iterating through an array eciently and rowmajor order

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Iterating through an array eciently and rowmajor order

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by Goeduhub's Expert (9.0k points)

Arrays in C can be seen as a contiguous chunk of memory. More precisely, the last dimension of the array is the contiguous part. We call this the row-major order. Understanding this and the fact that a cache fault loads a complete cache line into the cache when accessing uncached data to prevent subsequent cache faults, we can see why accessing an array of dimension 10000x10000 with array[0][0] would potentially load array[0][1] in cache, but accessing array[1][0] right after would generate a second cache fault, since it is sizeof(type)*10000 bytes away from array[0][0], and therefore certainly not on the same cache line. Which is why iterating like this is ineﬃcient:

#define ARRLEN 10000

int array[ARRLEN][ARRLEN];

size_t i, j;

for (i = 0; i < ARRLEN; ++i)

{

for(j = 0; j < ARRLEN; ++j)

{

array[j][i] = 0;

}

}

And iterating like this is more eﬃcient:

#define ARRLEN 10000

int array[ARRLEN][ARRLEN];

size_t i, j;

for (i = 0; i < ARRLEN; ++i)

{

for(j = 0; j < ARRLEN; ++j)

{

array[i][j] = 0;

}

}

In the same vein, this is why when dealing with an array with one dimension and multiple indexes (let's say 2 dimensions here for simplicity with indexes i and j) it is important to iterate through the array like this:

#define DIM_X 10

#define DIM_Y 20

int array[DIM_X*DIM_Y];

size_t i, j;

for (i = 0; i < DIM_X; ++i)

{

for(j = 0; j < DIM_Y; ++j)

{

array[i*DIM_Y+j] = 0;

}

}

Or with 3 dimensions and indexes i,j and k:

#define DIM_X 10

#define DIM_Y 20

#define DIM_Z 30

int array[DIM_X*DIM_Y*DIM_Z];

size_t i, j, k;

for (i = 0; i < DIM_X; ++i)

{

for(j = 0; j < DIM_Y; ++j)

{

for (k = 0; k < DIM_Z; ++k)

{

array[i*DIM_Y*DIM_Z+j*DIM_Z+k] = 0;

}

}

}

Or in a more generic way, when we have an array with N1 x N2 x ... x Nd elements, d dimensions and indices noted as n1,n2,...,nd the oﬀset is calculated like this