instructions on multiple data - OpenMP - Use-cases - Vectors, matrices, multi-dimensional arrays and tensors - Challenges: - Nested parallelism - Splitting the loop - Static splitting - Eager binary splitting

sequences Nim does not support multidimensional arrays and sequences (also called matrices or tensors) as default built-in data types. However, we can create ordinary one-dimensional arrays and sequences write m[i, j] instead. We can extend this to more than two dimensions. If you require matrices and tensors, you should also consider the use of external libraries, such as Arraymancer. Arraymancer is optimized

sequences Nim does not support multidimensional arrays and sequences (also called matrices or tensors) as default built-in data types. However, we can create ordinary one-dimensional arrays and sequences write m[i, j] instead. We can extend this to more than two dimensions. If you require matrices and tensors, you should also consider the use of external libraries, such as Arraymancer. Arraymancer is optimized

and sequences Nim does not support multidimensional arrays and sequences (also called matrices or tensors) as default built-in data types. However, we can create ordinary one-dimensional arrays and sequences write m[i, j] instead. We can extend this to more than two dimensions. If you require matrices and tensors, you should also consider the use of external libraries, such as Arraymancer. Arraymancer is optimized

and sequences Nim does not support multidimensional arrays and sequences (also called matrices or tensors) as default built-in data types. However, we can create ordinary one-dimensional arrays and sequences write m[i, j] instead. We can extend this to more than two dimensions. If you require matrices and tensors, you should also consider the use of external libraries, such as Arraymancer. Arraymancer is optimized

and sequences Nim does not support multidimensional arrays and sequences (also called matrices or tensors) as default built-in data types. However, we can create ordinary one-dimensional arrays and sequences write m[i, j] instead. We can extend this to more than two dimensions. If you require matrices and tensors, you should also consider the use of external libraries, such as Arraymancer. Arraymancer is optimized

and sequences Nim does not support multidimensional arrays and sequences (also called matrices or tensors) as default built-in data types. However, we can create ordinary one-dimensional arrays and sequences write m[i, j] instead. We can extend this to more than two dimensions. If you require matrices and tensors, you should also consider the use of external libraries, such as Arraymancer. Arraymancer is optimized

and sequences Nim does not support multidimensional arrays and sequences (also called matrices or tensors) as default built-in data types. However, we can create ordinary one-dimensional arrays and sequences write m[i, j] instead. We can extend this to more than two dimensions. If you require matrices and tensors, you should also consider the use of external libraries, such as Arraymancer. Arraymancer is optimized

and sequences Nim does not support multidimensional arrays and sequences (also called matrices or tensors) as default built-in data types. However, we can create ordinary one-dimensional arrays and sequences write m[i, j] instead. We can extend this to more than two dimensions. If you require matrices and tensors, you should also consider the use of external libraries, such as Arraymancer. Arraymancer is optimized

and sequences Nim does not support multidimensional arrays and sequences (also called matrices or tensors) as default built-in data types. However, we can create ordinary one-dimensional arrays and sequences write m[i, j] instead. We can extend this to more than two dimensions. If you require matrices and tensors, you should also consider the use of external libraries, such as Arraymancer. Arraymancer is optimized