Tensor Multiplication on Parallel Computers

Tensor multiplication is a ubiquitous task in many scientific and engineering applictaions. While there has been a great deal of research on efficient numerical methods for matrix multiplication on parallel machines, the general multiplication of arbitrary-rank tensors with an arbitrary number of contractions has seen less progress. We consider a new set of C++ classes that compute, store and multiply tensors on both serial and parallel platforms.

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