activity
20152020
most citedComparison and Benchmarking of AI Models and Frameworks on Mobile Devices

41 citations · 45 across the 3 of their papers we have counts for

collaborators

5 papers

cs.LG202041 cited

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…

cs.DC2018

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…

cs.DC2018

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…

cs.DC2017

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…

cs.DB20154 cited

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…