Heng Zhang

Orcid: 0000-0001-6597-6520

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


According to our database1, Heng Zhang authored at least 12 papers between 2015 and 2022.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2022
Bring orders into uncertainty: enabling efficient uncertain graph processing via novel path sampling on multi-accelerator systems.
Proceedings of the ICS '22: 2022 International Conference on Supercomputing, Virtual Event, June 28, 2022

2021
FastUDP: a highly scalable user-level UDP framework in multi-core systems for fast packet I/O.
J. Supercomput., 2021

Hybrid Access Cache Indexing Framework Adapted to GPU.
Int. J. Softw. Informatics, 2021

FindCmd: A personalised command retrieval tool.
IET Softw., 2021

An efficient uncertain graph processing framework for heterogeneous architectures.
Proceedings of the PPoPP '21: 26th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2021

2017
Towards a scalable and energy-efficient resource manager for coupling cluster computing with distributed embedded computing.
Clust. Comput., 2017

Accelerating Core Decomposition in Large Temporal Networks Using GPUs.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

PCSsampler: Sample-based, Private-state Cluster Scheduling.
Proceedings of the 17th IEEE/ACM International Symposium on Cluster, 2017

EpCom: A parallel community detection approach for epidemic diffusion over social networks.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016
Macaca: A Scalable and Energy-Efficient Platform for Coupling Cloud Computing with Distributed Embedded Computing.
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016

Tiresias: Low-Overhead Sample Based Scheduling with Task Hopping.
Proceedings of the 2016 IEEE International Conference on Cluster Computing, 2016

2015
Sparkle: adaptive sample based scheduling for cluster computing.
Proceedings of the 5th International Workshop on Cloud Data and Platforms, 2015


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