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You give libxsmm the dense matrix (with zeroes), and it JITs a matrix multiply implementation for you for that specific matrix, which you can reuse. It does full unrolling so this only works for matrices not much bigger than 100x100
I think both of these probably potentially have a place. AIUI, for libxsmm to work, the dense matrix needs to exist first, which if it is very large is bad news. libxsmm doesn't really work above 100x100
A sparse version of a
gem.Literal
would be very useful, e.g. for FInAT dual evaluation where the dual bases are, in general, sparse tensors.The text was updated successfully, but these errors were encountered: