awesome-tensor-compilers
github.com/merrymercy/awesome-tensor-compilers ↗A list of awesome compiler projects and papers for tensor computation and deep learning.
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Papers
- Accelerated Auto-Tuning of GPU Kernels for Tensor ComputationsAuto-tuning and Auto-scheduling
- A comprehensive study of deep learning compiler bugsVerification and Testing
- AdaTune: Adaptive tensor program compilation made efficientAuto-tuning and Auto-scheduling
- A Deep Learning Based Cost Model for Automatic Code OptimizationCost Model
- A Flexible Approach to Autotuning Multi-Pass Machine Learning CompilersAuto-tuning and Auto-scheduling
- A Framework for Sparse Matrix Code Synthesis from High-level SpecificationsSparse
Open Source Projects
- AITemplate: A Python framework which renders neural network into high performance CUDA/HIP C++ code
- BladeDISC: An End-to-End DynamIc Shape Compiler for Machine Learning Workloads
- DaCeML: A Data-Centric Compiler for Machine Learning
- Glow: Compiler for Neural Network Hardware Accelerators
- Halide: A Language for Fast, Portable Computation on Images and Tensors
- Hidet: A Compilation-based Deep Learning Framework
Showing a sample of 162 resources. View the full list on GitHub →