Chen Zheng

Affiliations:
  • Chinese Academy of Sciences, Institute of Software, Beijing, China


According to our database1, Chen Zheng authored at least 18 papers between 2014 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2022
High fusion computers: The IoTs, edges, data centers, and humans-in-the-loop as a computer.
CoRR, 2022

2021
AIBench Training: Balanced Industry-Standard AI Training Benchmarking.
Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2021

2020
AIBench: An Industry Standard AI Benchmark Suite from Internet Services.
CoRR, 2020

AIBench: An Agile Domain-specific Benchmarking Methodology and an AI Benchmark Suite.
CoRR, 2020

2019
RAGuard: An Efficient and User-Transparent Hardware Mechanism against ROP Attacks.
ACM Trans. Archit. Code Optim., 2019

AIBench: An Industry Standard Internet Service AI Benchmark Suite.
CoRR, 2019

XOS: An Application-Defined Operating System for Data Center Servers.
CoRR, 2019

2018
BigDataBench: A Dwarf-based Big Data and AI Benchmark Suite.
CoRR, 2018

Big Data Dwarfs: Towards Fully Understanding Big Data Analytics Workloads.
CoRR, 2018

Data Motif-based Proxy Benchmarks for Big Data and AI Workloads.
Proceedings of the 2018 IEEE International Symposium on Workload Characterization, 2018

XOS: An Application-Defined Operating System for Datacenter Computing.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

DCMIX: Generating Mixed Workloads for the Cloud Data Center.
Proceedings of the Benchmarking, Measuring, and Optimizing, 2018

Edge AIBench: Towards Comprehensive End-to-End Edge Computing Benchmarking.
Proceedings of the Benchmarking, Measuring, and Optimizing, 2018

AIBench: Towards Scalable and Comprehensive Datacenter AI Benchmarking.
Proceedings of the Benchmarking, Measuring, and Optimizing, 2018

Data motifs: a lens towards fully understanding big data and AI workloads.
Proceedings of the 27th International Conference on Parallel Architectures and Compilation Techniques, 2018

2017
A Dwarf-based Scalable Big Data Benchmarking Methodology.
CoRR, 2017

2016
Characterizing OS Behaviors of Datacenter and Big Data Workloads.
Proceedings of the 18th IEEE International Conference on High Performance Computing and Communications; 14th IEEE International Conference on Smart City; 2nd IEEE International Conference on Data Science and Systems, 2016

2014
BigDataBench: A big data benchmark suite from internet services.
Proceedings of the 20th IEEE International Symposium on High Performance Computer Architecture, 2014


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