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 16 papers between 2015 and 2024.

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

Timeline

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Bibliography

2024
TeGraph+: Scalable Temporal Graph Processing Enabling Flexible Edge Modifications.
IEEE Trans. Parallel Distributed Syst., August, 2024

<i>TEA+</i>: A Novel Temporal Graph Random Walk Engine with Hybrid Storage Architecture.
ACM Trans. Archit. Code Optim., June, 2024

2023
G-Sparse: Compiler-Driven Acceleration for Generalized Sparse Computation for Graph Neural Networks on Modern GPUs.
Proceedings of the 32nd International Conference on Parallel Architectures and Compilation Techniques, 2023

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

T-GCN: A Sampling Based Streaming Graph Neural Network System with Hybrid Architecture.
Proceedings of the International Conference on Parallel Architectures and Compilation Techniques, 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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