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Open source cross-platform compiler for compute-intensive loops used in AI algorithms, from Microsoft Research

Home Page: https://microsoft.github.io/Accera

License: MIT License

Dockerfile 0.06% Shell 0.34% CMake 1.33% Python 17.10% C++ 55.89% MLIR 3.11% C 0.03% Batchfile 0.03% HTML 0.12% JavaScript 21.99% CSS 0.01%
cross-platform loop-fusion loop-unrolling python-library optimization-framework research machine-learning-algorithms gpu-acceleration cpu-scheduling tuning-parameters

accera's Issues

[Q] Cutlass benchmark

Question

What's your question?

Is there some published benchmark of this tool? In particular a compare on GPU with Cutlass/Cublas?

Include context on what you are trying to achieve

N/A

Context details

N/A

Include details of what you already did to find answers

search Google and this repo, found some script but no published results

Add CI to build LLVM docker image

What feature are you suggesting?

Overview:

Currently we use a non-official externally-built docker image that contains Accera LLVM libraries to satisfy our build dependencies. The workflow for building that image lives in https://github.com/lisaong/accera-llvm-canary. It should be moved to this repo.

Smaller Details:

Lower priority, but also, consider moving to GitHub container registry rather than Dockerhub

Nature of Request:

  • Change

Why would this feature be useful?

Avoid external repo dependencies unless it's a submodule.

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