2 citations · 2 across the 1 of their papers we have counts for
5 papers
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…
ScaleSimulator: A Fast and Cycle-Accurate Parallel Simulator for Architectural Exploration
Ori Chalak, Cai Weiguang, Li Wei +7
Design of next generation computer systems should be supported by simulation infrastructure that must achieve a few contradictory goals such as fast execution time, high accuracy,…
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…
A Dwarf-based Scalable Big Data Benchmarking Methodology
Wanling Gao, Lei Wang, Jianfeng Zhan +7
Different from the traditional benchmarking methodology that creates a new benchmark or proxy for every possible workload, this paper presents a scalable big data benchmarking meth…