41 citations · 80 across the 7 of their papers we have counts for
7 papers
DCNetBench: Scaleable Data Center Network Benchmarking
Ke Liu, Wanling Gao, Chunjie Luo +7
Data center networking is the central infrastructure of the modern information society. However, benchmarking them is very challenging as the real-world network traffic is difficul…
Comparison and Benchmarking of AI Models and Frameworks on Mobile Devices
Chunjie Luo, Xiwen He, Jianfeng Zhan +3
Due to increasing amounts of data and compute resources, deep learning achieves many successes in various domains. The application of deep learning on the mobile and embedded devic…
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…
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…
BOPS, Not FLOPS! A New Metric and Roofline Performance Model For Datacenter Computing
Lei Wang, Jianfeng Zhan, Wanling Gao +5
For emerging datacenter (in short, DC) workloads, such as online Internet services or offline data analytics, how to evaluate the upper bound performance and provide apple-to-apple…
HybridTune: Spatio-temporal Data and Model Driven Performance Diagnosis for Big Data Systems
Rui Ren, Jiechao Cheng, Xiwen He +3
With tremendous growing interests in Big Data systems, analyzing and facilitating their performance improvement become increasingly important. Although there have much research eff…
Identifying Dwarfs Workloads in Big Data Analytics
Wanling Gao, Chunjie Luo, Jianfeng Zhan +5
Big data benchmarking is particularly important and provides applicable yardsticks for evaluating booming big data systems. However, wide coverage and great complexity of big data…