Work

Swift for TensorFlow: A portable, flexible platform for deep learning

Year: 2021

Type: preprint

Abstract: Swift for TensorFlow is a deep learning platform that scales from mobile devices to clusters of hardware accelerators in data centers. It combines a language-integrated automatic differentiation system and multiple Tensor implementations within a modern ahead-of-time compiled language oriented around mutable value semantics. The resulting platform has been validated through use in over 30 deep learning models and has been employed across data center and mobile applications.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.2102.13243

Authors: Saeta, Brennan, Shabalin, Denys, Rasi, Marc, Larson, Brad, Wu, Xihui, Schuh, Parker, Casbon, Michelle, Zheng, Daniel, Abdulrasool, Saleem, Efremov, Aleksandr, Abrahams, Dave, Lattner, Chris, Wei, Richard

Language: English

Topic: Parallel Computing and Optimization Techniques

Subfield: Hardware and Architecture

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funder: DeepMind

OpenAlex ID: W3133786848

Cites: 36

Cited by: 5

Related to: 10