Publications

TVM is developed as part of peer-reviewed research in machine learning compiler framework for CPUs, GPUs, and machine learning accelerators.

This document includes references to publications describing the research, results, and design underlying TVM.

• TVM: An Automated End-to-End Optimizing Compiler for Deep Learning

• Learning to Optimize Tensor Programs

• Ansor: Generating High-Performance Tensor Programs for Deep Learning

• Nimble: Efficiently Compiling Dynamic Neural Networks for Model Inference