9 citations · 25 across the 15 of their papers we have counts for
4 papers · 1 filter
A Linear Combination-based Method to Construct Proxy Benchmarks for Big Data Workloads
Yikang Yang, Lei Wang, Jianfeng Zhan
During early stages of CPU design, benchmarks can only run on simulators to evaluate CPU performance. However, most big data benchmarks are too huge at code size scale, which cause…
Edge AIBench: Towards Comprehensive End-to-end Edge Computing Benchmarking
Tianshu Hao, Yunyou Huang, Xu Wen +8
In edge computing scenarios, the distribution of data and collaboration of workloads on different layers are serious concerns for performance, privacy, and security issues. So for…
HPC AI500: A Benchmark Suite for HPC AI Systems
Zihan Jiang, Wanling Gao, Lei Wang +10
In recent years, with the trend of applying deep learning (DL) in high performance scientific computing, the unique characteristics of emerging DL workloads in HPC raise great chal…
Benchmarking Big Data Systems: State-of-the-Art and Future Directions
Rui Han, Zhen Jia, Wanling Gao +2
The great prosperity of big data systems such as Hadoop in recent years makes the benchmarking of these systems become crucial for both research and industry communities. The compl…