Open MLIR Meeting 4/29/2021: Tensor Processing Primitives

Hi all,

Tomorrow (Thursday, 9am California time, 16:00 UTC ), Alexander Heinecke (Intel) will present Tensor Processing Primitives: A Programming Abstraction for Efficiency and Portability in Deep Learning Workloads. Here is an excerpt from the paper:

TPPs define a compact, yet versatile set of 2D-tensor operators (or a virtual Tensor ISA), which subsequently can be utilized as building-blocks to construct complex operators on high-dimensional tensors. The TPP specification is platform- agnostic, thus code expressed via TPPs is portable, whereas the TPP implementation is highly-optimized and platform-specific.
[…] TPPs fit in the MLIR ecosystem/stack as a lowering dialect , and in this way the TPP back-end could be leveraged by multiple TC frameworks.

As usual the information to join the meeting:
‪+1 218-301-8485‬ PIN: ‪255 745‬#

I’ll also update this thread with slides and recording after the meeting.

If you missed the meeting, or just want to review what was presented and discussed, here are the slides and the recording!

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