Yu Huang

Orcid: 0000-0002-3927-1102

Affiliations:

Huazhong University of Science and Technology, School of Computer Science and Technology, Wuhan, China

According to our database¹, Yu Huang authored at least 29 papers between 2018 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

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Article

PhD thesis

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Bibliography

2024

ARCHER: a ReRAM-based accelerator for compressed recommendation systems.

[BibT_eX]

[DOI]

Frontiers Comput. Sci., October, 2024

2023

Accelerating Graph Convolutional Networks Through a PIM-Accelerated Approach.

[BibT_eX]

[DOI]

IEEE Trans. Computers, September, 2023

Accelerating Personalized Recommendation with Cross-level Near-Memory Processing.

[BibT_eX]

[DOI]

Proceedings of the 50th Annual International Symposium on Computer Architecture, 2023

MetaNMP: Leveraging Cartesian-Like Product to Accelerate HGNNs with Near-Memory Processing.

[BibT_eX]

[DOI]

Proceedings of the 50th Annual International Symposium on Computer Architecture, 2023

GraphMetaP: Efficient MetaPath Generation for Dynamic Heterogeneous Graph Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

AFaVS: Accurate Yet Fast Version Switching for Graph Processing Systems.

[BibT_eX]

[DOI]

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

FNNG: A High-Performance FPGA-based Accelerator for K-Nearest Neighbor Graph Construction.

[BibT_eX]

[DOI]

Proceedings of the 2023 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, 2023

MeG<sup>2</sup>: In-Memory Acceleration for Genome Graphs Analysis.

[BibT_eX]

[DOI]

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022

A Flexible Yet Efficient DNN Pruning Approach for Crossbar-Based Processing-in-Memory Architectures.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

ReaDy: A ReRAM-Based Processing-in-Memory Accelerator for Dynamic Graph Convolutional Networks.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

ReCSA: a dedicated sort accelerator using ReRAM-based content addressable memory.

[BibT_eX]

[DOI]

Frontiers Comput. Sci., 2022

CPSAA: Accelerating Sparse Attention using Crossbar-based Processing-In-Memory Architecture.

[BibT_eX]

[DOI]

CoRR, 2022

GraphFly: Efficient Asynchronous Streaming Graphs Processing via Dependency-Flow.

[BibT_eX]

[DOI]

Proceedings of the SC22: International Conference for High Performance Computing, 2022

A Data-Centric Accelerator for High-Performance Hypergraph Processing.

[BibT_eX]

[DOI]

Proceedings of the 55th IEEE/ACM International Symposium on Microarchitecture, 2022

A General Offloading Approach for Near-DRAM Processing-In-Memory Architectures.

[BibT_eX]

[DOI]

Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022

Accelerating Sparse Deep Neural Network Inference Using GPU Tensor Cores.

[BibT_eX]

[DOI]

Proceedings of the IEEE High Performance Extreme Computing Conference, 2022

ScalaGraph: A Scalable Accelerator for Massively Parallel Graph Processing.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2022

Hardware-Accelerated Hypergraph Processing with Chain-Driven Scheduling.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2022

Accelerating Graph Convolutional Networks Using Crossbar-based Processing-In-Memory Architectures.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2022

ReSMA: accelerating approximate string matching using ReRAM-based content addressable memory.

[BibT_eX]

[DOI]

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

2021

Fast Sparse Deep Neural Network Inference with Flexible SpMM Optimization Space Exploration.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE High Performance Extreme Computing Conference, 2021

GraSU: A Fast Graph Update Library for FPGA-based Dynamic Graph Processing.

[BibT_eX]

[DOI]

Proceedings of the FPGA '21: The 2021 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, Virtual Event, USA, February 28, 2021

2020

Scaph: Scalable GPU-Accelerated Graph Processing with Value-Driven Differential Scheduling.

[BibT_eX]

[DOI]

Proceedings of the 2020 USENIX Annual Technical Conference, 2020

A Locality-Aware Energy-Efficient Accelerator for Graph Mining Applications.

[BibT_eX]

[DOI]

Proceedings of the 53rd Annual IEEE/ACM International Symposium on Microarchitecture, 2020

A Heterogeneous PIM Hardware-Software Co-Design for Energy-Efficient Graph Processing.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020

Spara: An Energy-Efficient ReRAM-Based Accelerator for Sparse Graph Analytics Applications.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020

2019

Efficient Time-Evolving Stream Processing at Scale.

[BibT_eX]

[DOI]

IEEE Trans. Parallel Distributed Syst., 2019

RAGra: Leveraging Monolithic 3D ReRAM for Massively-Parallel Graph Processing.

[BibT_eX]

[DOI]

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019

2018

Efficient Time-Evolving Stream Processing at Scale.

[BibT_eX]

[DOI]

Yu Huang

CoRR, 2018

Yu Huang

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