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The tensor template currently supports two storage formats, either a tensor-managed stack-allocated row-major array format, or an externally allocated row-major array format. This is somewhat restrictive as there are many other storage formats we would like to experiment with, e.g., column-major storage, tensor-managed heap storage, external struct-of-array formats. We would also like to be able to investigate storage formats that can handle things like symmetry and anti-symmetry.
The text was updated successfully, but these errors were encountered:
The tensor template currently supports two storage formats, either a tensor-managed stack-allocated row-major array format, or an externally allocated row-major array format. This is somewhat restrictive as there are many other storage formats we would like to experiment with, e.g., column-major storage, tensor-managed heap storage, external struct-of-array formats. We would also like to be able to investigate storage formats that can handle things like symmetry and anti-symmetry.
The text was updated successfully, but these errors were encountered: