和这些工作不同,这个 survey 更关注 DL compilers 上的研究,这些研究往往提供了一个更通用的在不同硬件上执行多种 DL models 的方法。 2.2 Deep Learning Hardware DL hardware 可以根据泛用性被分为三类:(1) 通用 hardware 可以通过软硬件优化支持 DL workloads;(2) 专用 hardware 可以基于完全定制的电路结构来...
3. COMMON DESIGN ARCHITECTURE OF DL COMPILERS 3.1 The high-level IR 3.2 The low-level IR 3.3 The frontend 3.4 The backend The Deep Learning Compiler: A Comprehensive Survey 在不同的深度学习(DL)硬件上部署各种DL模型的困难推动了社区对DL编译器的研究和开发。从工业界和学术界都提出了几个DL...
Fig. 1. DL framework landscape: 1) Currently popular DL frameworks; 2) Historical DL frameworks; 3) ONNX supported frameworks. Fig. 2. The overview of commonly adopted design architecture of DL compilers. Fig. 3. Example of computation graph optimizations, taken from the HLO graph of Alexnet...
Finally, several insights are highlighted as the potential research directions of DL compiler. This is the first survey paper focusing on the design architecture of DL compilers, which we hope can pave the road for future research towards DL compiler. 展开 ...
陈女士16分钟前在线 英伟达半导体科技(上海)有限公司·Recruiter 投递时间:2021年7月17日-2021年8月13日(即将截止) 岗位职责 NVIDIA is hiring software engineers for its Deep Learning Compiler team. Academic and commercial groups around the world are using GPUs to power a revolution in deep learning, en...
Deep Learning Compiler Study This is a repository of the study "DL Compiler". The goal of this study is to understand the acceleration of nerual networks with DL Compiler. The topic of acceleration includes On-Device AI,DL Compiler, TVM, ONNX , Compiler. Our study is based on this paper...
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective. - microsoft/DeepSpeed
Machine Learning Foundation Models: including building infrastructure, datasets, and models with fundamental general capabilities such as understanding and generation of text, images, speech, videos, and other modalities. Fundamentals of Machine Learning, including but not limited to Deep Learning, R...
These successes have prompted system designers to design computing devices that are better suited and matched to the needs of deep learning algorithms than GPUs. To build specialized hardware, deep learning algorithms have two very nice properties. First, they are very forgiving of reduced precision....
The Deep Learning Compiler: A Comprehensive Survey 参考文献: https://arxiv.org/pdf/2002.03794v4.pdf 在不同的DL硬件上部署各种深度学习(DL)模型的困难,推动了社区DL编译器的研究和开发。DL编译器已经从工业和学术界提出,如TysFraceXLA和TVM。类似地,DL编译器将不同DL框架中描述的DL模型作为输入,然后为不...