Web: http://arxiv.org/abs/2205.04586

May 11, 2022, 1:11 a.m. | Ian Frederick Vigogne Goodbody Hunter, Alessandro Palla, Sebastian Eusebiu Nagy, Richard Richmond, Kyle McAdoo

cs.LG updates on arXiv.org arxiv.org

Calculating the most efficient schedule of work in a neural network compiler
is a difficult task. There are many parameters to be accounted for that can
positively or adversely affect that schedule depending on their configuration -
How work is shared between distributed targets, the subdivision of tensors to
fit in memory, toggling the enablement of optimizations, etc. Traditionally,
neural network compilers determine how to set these values by building a graph
of choices and choosing the path with minimal …

arxiv hardware modeling networks neural neural networks

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