41 citations · 89 across the 31 of their papers we have counts for
6 papers · 1 filter
High fusion computers: The IoTs, edges, data centers, and humans-in-the-loop as a computer
Wanling Gao, Lei Wang, Mingyu Chen +13
Emerging and future applications rely heavily upon systems consisting of Internet of Things (IoT), edges, data centers, and humans-in-the-loop. Significantly different from warehou…
AI-oriented Medical Workload Allocation for Hierarchical Cloud/Edge/Device Computing
Tianshu Hao, Jianfeng Zhan, Kai Hwang +2
In a hierarchically-structured cloud/edge/device computing environment, workload allocation can greatly affect the overall system performance. This paper deals with AI-oriented med…
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…
BigDataBench: A Scalable and Unified Big Data and AI Benchmark Suite
Wanling Gao, Jianfeng Zhan, Lei Wang +11
Several fundamental changes in technology indicate domain-specific hardware and software co-design is the only path left. In this context, architecture, system, data management, an…
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…