Given the following code sequence calculating a matrix norm.
double c[96], a [96] 196];
with a and c being arrays of double precision floating point numbers with each element being 8 bytes. No element of a or c is in the cache before executing this code. Please assume row-major ordering. Assuming that the cache is large enough to hold both a and c, and has a cache block size of 64 bytes, determine the number of cache misses (6 pts) and the cache miss rate (4 pts) for this code sequence.
Please correctly label each step if possible so I can follow along.

A group of elements, each of which is defined from at most one end of the array or key, make up an array, a type of data structure. Computer applications frequently utilise arrays to organise data so that a connected set of values may be quickly searched for or sorted. Any data type, including integers, characters, objects, and other arrays, can be contained in an element of an array. Arrays are the building blocks of many programming languages because they allow for the efficient and organised storage of data. They are frequently used it to store a lot of data of a similar type in a way that makes it simple to access any array element. Multi-dimensional arrays are those that have more than one level of elements.
11 cache misses total

Missing Cache Rate: 0.22

Miss - Load a[0] and a[1] into the caches in step one.

Miss - Load a[2] and a[3] into in the caches in step two.

Hit - Load c[0] and c[1] from the caches in step three.

Miss - Load a[4] and a[5] into the caches in step four.

Hit - Load c[2] and c[3] from the caches in step 5

Miss - Load a[6] and a[7] into the caches in step 6.

Hit - Load c[4] and c[5] from the caches in step 7

Miss - Load a[8] and a[9] into the caches in step 8.

Hit - Load c[6] and c[7] from the caches in step 9

Miss - Load a[10] and a[11] into in the caches in step 10.

Hit - Load c[8] and c[9] from the caches in step 11.

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