μIR -An intermediate representation for transforming and optimizing the microarchitecture of application accelerators

Author:

Sharifian Amirali1,Hojabr Reza1,Rahimi Navid1,Liu Sihao2,Guha Apala1,Nowatzki Tony2,Shriraman Arrvindh1

Affiliation:

1. Simon Fraser University

2. University of California, Los Angeles

Funder

Natural Sciences and Engineering Research Council of Canada

Semiconductor Research Corporation

Publisher

ACM

Reference56 articles.

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2. Enabling rapid design space exploration and prototyping of dnn accelerators. http://pwp.gatech.edu/ece-synergy/wp-content/uploads/sites/332/2019/02/2_NNDataflowAnalysis.pdf. Enabling rapid design space exploration and prototyping of dnn accelerators. http://pwp.gatech.edu/ece-synergy/wp-content/uploads/sites/332/2019/02/2_NNDataflowAnalysis.pdf.

3. Mlir primer: A compiler infrastructure for the end of mooreâĂŹs law. https://github.com/tensorflow/mlir. Mlir primer: A compiler infrastructure for the end of mooreâĂŹs law. https://github.com/tensorflow/mlir.

4. Specification for the firrtl language. https://github.com/freechipsproject/firrtl/blob/master/spec/spec.pdf. Specification for the firrtl language. https://github.com/freechipsproject/firrtl/blob/master/spec/spec.pdf.

5. Vivado Design Suite. https://www.xilinx.com/products/design-tools/vivado.html. Vivado Design Suite. https://www.xilinx.com/products/design-tools/vivado.html.

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