Characterizing deep learning training workloads on alibaba-pai

M Wang, C Meng, G Long, C Wu… - 2019 IEEE …, 2019 - ieeexplore.ieee.org
Modern deep learning models have been exploited in various domains, including computer
vision (CV), natural language processing (NLP), search and recommendation. In practical AI …

Benchcouncil's view on benchmarking ai and other emerging workloads

J Zhan, L Wang, W Gao, R Ren - arXiv preprint arXiv:1912.00572, 2019 - arxiv.org
This paper outlines BenchCouncil's view on the challenges, rules, and vision of
benchmarking modern workloads like Big Data, AI or machine learning, and Internet …

A benchmark for evaluating Deep Learning based Image Analytics

CR Ikram - 2019 - duo.uio.no
Deep learning based systems are on the rise as they have shown tremendous potential to
extract concealed patterns through the data. Today Deep learning systems are surpassing …

GCM-bench: a benchmark for RDF data management system on microorganism data

R Liu, J Xu - Big Scientific Data Benchmarks, Architecture, and …, 2019 - Springer
The biological data is growing up to an unprecedented scale, such as microorganism
knowledge graph organized by biologists, which is represented by Resource Description …

Evaluating Index Systems of High Energy Physics

S Dai, W Gao, B Xie, M Yu, J Chen, D Kong… - Big Scientific Data …, 2019 - Springer
Nowadays, more and more scientific data has been produced through high-energy physics
(HEP) facilities. Even in one particle physics experiment, the generated data reaches to …

Evaluating Graph Database Systems for Biological Data

M Yu, Y Zang, S Dai, D Zheng, J Li - … , SDBA 2018, Beijing, China, June 12 …, 2019 - Springer
The graph database system can express the complex relationships in the real world through
the simple and intuitive description of “entities” and “relationships”. Now, the graph database …