我正在读一本关于 C++ AMP 的书，但并不真正理解一些术语：
始终选择您的 tile 大小，以便最低有效维度中的线程数至少为 16，如果可以，请使用 32 甚至 64。
我在 Eigen 文档中看到过类似的术语，所以我怀疑这是很常见的用法。
所以让我们假设我有一个 2D 索引，数组，无论如何：
// construct it:
ArrayType my2DArray(rows,columns);
// now index it:
float element = my2DArray[rowIdx,colIdx];
暂时忘记 的类型，ArrayType并更多地考虑术语，哪个是该数组的最重要和最不重要的维度？
When allocating threads logically in multiple dimensions, there is generally a mapping from that N-dimensional space to a linear space. The dimension that varies the linear space least is the least significant dimension.
As an example, mapping a 2-dimensional (X,Y) coordinate to linear space might be determined using the expression (Y * width + X). Here, X is the least significant dimension and Y is the most significant dimension. Likewise, for a 3-dimensional (X,Y,Z) space, the expression might be (Z * width * height + Y * width + X). Here, X is still the least significant, but Z is the most significant. Your layout may not necessarily be the same, for example you may choose to map linear space to (Z * width * height + X * height + Y), in which case Y is the least significant dimension.