SOLAR: Services-Oriented Deep Learning Architectures-Deep Learning as a Service
作者：
Wang, Chao;Gong, Lei;Wang, Aili;Li, Xi*;Hung, Patrick C. K.;...
通讯作者：
Li, Xi
作者机构：
University of Science and Technology of China, Hefei, Anhui, China
Business and Information Technology, University of Ontario Institute of Technology, Oshawa, ON, Canada
通讯机构：
Univ Sci & Technol China, Hefei 230027, Anhui, Peoples R China.
语种：
英文
关键词：
Diverse applications;Hardware accelerators;High performance implementations;Learning architectures;Learning neural networks;Programming models;Services oriented architecture;Software processor
期刊：
IEEE TRANSACTIONS ON SERVICES COMPUTING
ISSN：
1939-1374
年：
2021
卷：
14
期：
1
页码：
262-273
基金类别：
NSFC (Grant Number: 61379040);Anhui Provincial NSF (Grant Number: 1608085QF12);Suzhou Research Foundation (Grant Number: SYG201625);10.13039/501100004739-Youth Innovation Promotion Association of the Chinese Academy of Sciences (Grant Number: 2017497);10.13039/501100012226-Fundamental Research Funds for the Central Universities (Grant Number: WK2150110003)
摘要：
Deep learning has been an emerging field of machine learning during past decades. However, the diversity and large scale data size have posed significant challenge to construct a flexible and high performance implementations of deep learning neural networks. In order to improve the performance as well to maintain the scalability, in this paper we present SOLAR, a services-oriented deep learning architecture using various accelerators like GPU and FPGA. SOLAR provides a uniform programming model to users so that the hardware implementation and the scheduling is invisible to the programmers. At runtime, the services can be executed either on the software processors or the h...
