419 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Chinese Academy of SciencesCN19 papers
- Institute of Computing TechnologyCN16 papers
- University of Chinese Academy of SciencesCN11 papers
- Huawei Technologies (China)CN2 papers
- National Computer Network Emergency Response Technical Team/Coordination Center of ChinarCN2 papers
- Tsinghua UniversityCN2 papers
- Aberystwyth UniversityGB1 paper
- Alibaba Group (China)CN1 paper
- Baidu (China)CN1 paper
- Beijing National Laboratory for Molecular SciencesCN1 paper
- Capital Normal UniversityCN1 paper
- Chalmers University of TechnologySE1 paper
20 papers
AIBench Scenario: Scenario-distilling AI Benchmarking
Wanling Gao, Fei Tang, Jianfeng Zhan +7
Modern real-world application scenarios like Internet services consist of a diversity of AI and non-AI modules with huge code sizes and long and complicated execution paths, which…
The influence of high-energy local orbitals and electron-phonon interactions on the band gaps and optical spectra of hexagonal boron nitride
Tong Shen, Xiao-Wei Zhang, Honghui Shang +5
We report band diagram and optical absorption spectra of hexagonal boron nitride (-BN), focusing on unravelling how the completeness of basis set for calculat…
Exploring Spatial-Temporal Multi-Frequency Analysis for High-Fidelity and Temporal-Consistency Video Prediction
Beibei Jin, Yu Hu, Qiankun Tang +4
Video prediction is a pixel-wise dense prediction task to infer future frames based on past frames. Missing appearance details and motion blur are still two major problems for curr…
Exploring Adversarial Attack in Spiking Neural Networks with Spike-Compatible Gradient
Ling Liang, Xing Hu, Lei Deng +5
Recently, backpropagation through time inspired learning algorithms are widely introduced into SNNs to improve the performance, which brings the possibility to attack the models ac…
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…
On the Performance and Convergence of Distributed Stream Processing via Approximate Fault Tolerance
Zhinan Cheng, Qun Huang, Patrick P. C. Lee
Fault tolerance is critical for distributed stream processing systems, yet achieving error-free fault tolerance often incurs substantial performance overhead. We present AF-Stream,…
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…
Cooperative Communication based Connectivity Recovery for UAV Networks
Wen Tian, Zhenzhen Jiao, Min Liu +2
UAV networks often partition into separated clusters due to the high node and link dynamic. As a result, network connectivity recovery is an important issue in this area. Existing…
The Moving-Grid Effect in the Harmonic Vibrational Frequency Calculations with Numeric Atom-Centered Orbitals
Honghui Shang, Jinlong Yang
When using atom-centered integration grids, the portion of the grid that belongs to a certain atom also moves when this atom is displaced. In the paper, we investigate the moving-g…
Characterizing and Subsetting Big Data Workloads
Zhen Jia, Jianfeng Zhan, Lei Wang +5
Big data benchmark suites must include a diversity of data and workloads to be useful in fairly evaluating big data systems and architectures. However, using truly comprehensive be…
BDGS: A Scalable Big Data Generator Suite in Big Data Benchmarking
Zijian Ming, Chunjie Luo, Wanling Gao +4
Data generation is a key issue in big data benchmarking that aims to generate application-specific data sets to meet the 4V requirements of big data. Specifically, big data generat…
BigDataBench: a Big Data Benchmark Suite from Internet Services
Lei Wang, Jianfeng Zhan, Chunjie Luo +12
As architecture, systems, and data management communities pay greater attention to innovative big data systems and architectures, the pressure of benchmarking and evaluating these…
BigOP: Generating Comprehensive Big Data Workloads as a Benchmarking Framework
Yuqing Zhu, Jianfeng Zhan, Chuliang Weng +4
Big Data is considered proprietary asset of companies, organizations, and even nations. Turning big data into real treasure requires the support of big data systems. A variety of c…
AxPUE: Application Level Metrics for Power Usage Effectiveness in Data Centers
Runlin Zhou, Yingjie Shi, Chunge Zhu +1
The rapid growth of data volume brings big challenges to the data center computing, and energy efficiency is one of the most concerned problems. Researchers from various fields are…
Characterizing Data Analysis Workloads in Data Centers
Zhen Jia, Lei Wang, Jianfeng Zhan +2
As the amount of data explodes rapidly, more and more corporations are using data centers to make effective decisions and gain a competitive edge. Data analysis applications play a…
The Implications of Diverse Applications and Scalable Data Sets in Benchmarking Big Data Systems
Zhen Jia, Runlin Zhou, Chunge Zhu +5
Now we live in an era of big data, and big data applications are becoming more and more pervasive. How to benchmark data center computer systems running big data applications (in s…
GreenDCN: a General Framework for Achieving Energy Efficiency in Data Center Networks
Lin Wang, Fa Zhang, Jordi Arjona Aroca +5
The popularization of cloud computing has raised concerns over the energy consumption that takes place in data centers. In addition to the energy consumed by servers, the energy co…
MIMS: Towards a Message Interface based Memory System
Licheng Chen, Tianyue Lu, Yanan Wang +7
Memory system is often the main bottleneck in chipmultiprocessor (CMP) systems in terms of latency, bandwidth and efficiency, and recently additionally facing capacity and power pr…
On the Easiest and Hardest Fitness Functions
Jun He, Tianshi Chen, Xin Yao
The hardness of fitness functions is an important research topic in the field of evolutionary computation. In theory, the study can help understanding the ability of evolutionary a…
High Volume Computing: Identifying and Characterizing Throughput Oriented Workloads in Data Centers
Jianfeng Zhan, Lixin Zhang, Ninghui Sun +3
For the first time, this paper systematically identifies three categories of throughput oriented workloads in data centers: services, data processing applications, and interactive…