Deep Learning Compiler for NPU
The compiler is designed to allow state of the art compiler optimizations and code generation of neural network graphs.
Deep Learning Compiler The NEST Compiler (NEST-C) is an open source project led by ETRI, which is based on [GLOW project] (https://github.com/pytorch/glow). Glow is a machine learning compiler and execution engine for hardware accelerators. It is designed to be used as a backend for high-level machine learning frameworks. The compiler is designed to allow state of the art compiler optimizations and code generation of neural network graphs. The objective of NEST-C is to generate optimized code for various kinds of Neural-network Processing Uints (NPUs). Therefore, NEST-C provides automatic tuning functionalities and tools for each optimization step.
- This project is funded by IITP, Korea.
- Period: Jan. 2018 – Dec. 2022.
- Grant: 3,000,000 dollar (per year)
- Korean Press: https://www.epnc.co.kr/news/articleView.html?idxno=219254
- Global Press: https://www.eurekalert.org/news-releases/945721