simple streaming kernel for the i8mm case (#10552)

@silvasean you were right, the "max streaming" idea from ruy kernels
still helps, even on big OOO cores that "should" be able to make that
optimization by themselves.

This is a 2x partial unrolling + pipelining of the inner loop that
allows using all of the available registers to maximize load-to-use
distance.

It might be counterproductive on cores that care foremost about minimum
loop code size such as the Cortex-X1, but I don't have one here to test.
Will be a good use case for tuning.

On the 3 core types in the Snapdragon 8gen1 in my Moto Edge x30:

  | Gop/s before | Gop/s after | Gop/s peak | Speedup | %peak before |
%peak after
-- | -- | -- | -- | -- | -- | --
Cortex-A510 | 83.4 | 103.0 | 114.24 | 1.24 | 73% | 90%
Cortex-A710 | 307.7 | 308.0 | 319.49 | 1.00 | 96% | 96%
Cortex-X2 | 675.4 | 732.3 | 766.77 | 1.08 | 88% | 96%
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  4. compiler/
  5. docs/
  6. experimental/
  7. integrations/
  8. llvm-external-projects/
  9. runtime/
  10. samples/
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  28. CONTRIBUTING.md
  29. LICENSE
  30. README.md
  31. WORKSPACE
README.md

IREE: Intermediate Representation Execution Environment

IREE (Intermediate Representation Execution Environment, pronounced as “eerie”) is an MLIR-based end-to-end compiler and runtime that lowers Machine Learning (ML) models to a unified IR that scales up to meet the needs of the datacenter and down to satisfy the constraints and special considerations of mobile and edge deployments.

See our website for project details, user guides, and instructions on building from source.

CI Status

Project Status

IREE is still in its early phase. We have settled down on the overarching infrastructure and are actively improving various software components as well as project logistics. It is still quite far from ready for everyday use and is made available without any support at the moment. With that said, we welcome any kind of feedback on any communication channels!

Communication Channels

Related Project Channels

  • MLIR topic within LLVM Discourse: IREE is enabled by and heavily relies on MLIR. IREE sometimes is referred to in certain MLIR discussions. Useful if you are also interested in MLIR evolution.

Architecture Overview

IREE Architecture IREE Architecture

See our website for more information.

Presentations and Talks

  • 2021-06-09: IREE Runtime Design Tech Talk (recording and slides)
  • 2020-08-20: IREE CodeGen: MLIR Open Design Meeting Presentation (recording and slides)
  • 2020-03-18: Interactive HAL IR Walkthrough (recording)
  • 2020-01-31: End-to-end MLIR Workflow in IREE: MLIR Open Design Meeting Presentation (recording and slides)

License

IREE is licensed under the terms of the Apache 2.0 License with LLVM Exceptions. See LICENSE for more information.