Title: Block Tensor Computations

Charles Van Loan, Cornell University

Abstract:
Will blocking become as important in tensor computations
as it is in matrix computations? I will discuss how blocking
for generalization, blocking for performance, and blocking
for insight are playing out in tensor computations. It is an
occasion to conjecture about just how we might close the
gap between matrix and tensor computations.