merrymercy/awesome-tensor-compilers
A curated list of open-source compiler projects and research papers for tensor computation and deep learning optimization.
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This repository aggregates compiler projects and academic papers focused on tensor computation and deep learning. It covers open-source compilers such as TVM, MLIR, XLA, Halide, Glow, Triton, and others, alongside research organized into topics including auto-tuning, cost modeling, CPU/GPU/NPU optimization, quantization, and distributed computing. It serves as a reference hub for developers working on ML compilation, code generation, and performance optimization in machine learning systems.
Frequently asked
- What is merrymercy/awesome-tensor-compilers?
- A curated list of open-source compiler projects and research papers for tensor computation and deep learning optimization.
- Is awesome-tensor-compilers open source?
- Yes — merrymercy/awesome-tensor-compilers is an open-source project tracked on heatdrop.
- How popular is awesome-tensor-compilers?
- merrymercy/awesome-tensor-compilers has 2.8k stars on GitHub.
- Where can I find awesome-tensor-compilers?
- merrymercy/awesome-tensor-compilers is on GitHub at https://github.com/merrymercy/awesome-tensor-compilers.