Shypd.aiThe largest open index of AI toolsAwesome-tensor-compilers is a curated list of compiler projects and research papers focused on tensor computation and deep learning. It offers resources for compiler design, auto-tuning, and optimization techniques across various hardware platforms.
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Awesome-tensor-compilers is a comprehensive, curated list designed for researchers and developers interested in the intersection of compilers and deep learning. It aggregates significant compiler projects and research papers, providing valuable resources for understanding and implementing advanced optimization techniques. The list covers critical areas such as compiler design principles, auto-tuning methodologies, and various optimization strategies for CPU, GPU, and NPU architectures. Additionally, it includes resources on graph-level optimization, making it a central hub for those looking to enhance the performance and efficiency of deep learning models through compiler technology.
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