5 citations · 8 across the 6 of their papers we have counts for
5 papers · 1 filter
Data Motif-based Proxy Benchmarks for Big Data and AI Workloads
Wanling Gao, Jianfeng Zhan, Lei Wang +8
For the architecture community, reasonable simulation time is a strong requirement in addition to performance data accuracy. However, emerging big data and AI workloads are too hug…
Data Motifs: A Lens Towards Fully Understanding Big Data and AI Workloads
Wanling Gao, Jianfeng Zhan, Lei Wang +9
The complexity and diversity of big data and AI workloads make understanding them difficult and challenging. This paper proposes a new approach to modelling and characterizing big…
Data Dwarfs: A Lens Towards Fully Understanding Big Data and AI Workloads
Wanling Gao, Jianfeng Zhan, Lei Wang +6
The complexity and diversity of big data and AI workloads make understanding them difficult and challenging. This paper proposes a new approach to characterizing big data and AI wo…
Characterization and Architectural Implications of Big Data Workloads
Lei Wang, Jianfeng Zhan, Zhen Jia +1
Big data areas are expanding in a fast way in terms of increasing workloads and runtime systems, and this situation imposes a serious challenge to workload characterization, which…
Understanding Big Data Analytic Workloads on Modern Processors
Zhen Jia, Lei Wang, Jianfeng Zhan +3
Big data analytics applications play a significant role in data centers, and hence it has become increasingly important to understand their behaviors in order to further improve th…