Enhao Tang

Orcid: 0000-0002-0539-8885

According to our database1, Enhao Tang authored at least 10 papers between 2022 and 2025.

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

Timeline

Legend:

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Links

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Bibliography

2025
FastCar: Cache Attentive Replay for Fast Auto-Regressive Video Generation on the Edge.
CoRR, May, 2025

D-GCN: A Dynamic Pruning Accelerator for Deep Graph Convolutional Networks with Hybrid Dataflow.
Proceedings of the Great Lakes Symposium on VLSI 2025, GLSVLSI 2025, New Orleans, LA, USA, 30 June 2025, 2025

AiSpGEMM: Accelerating Imbalanced SpGEMM on FPGAs with Flexible Interconnect and Intra-row Parallel Merging.
Proceedings of the Design, Automation & Test in Europe Conference, 2025

Deploying Diffusion Models with Scheduling Space Search and Memory Overflow Prevention Based on Graph Optimization.
Proceedings of the 30th Asia and South Pacific Design Automation Conference, 2025

2024
Graph-OPU: A Highly Flexible FPGA-Based Overlay Processor for Graph Neural Networks.
ACM Trans. Reconfigurable Technol. Syst., December, 2024

SDAcc: A Stable Diffusion Accelerator on FPGA via Software-Hardware Co-Design.
Proceedings of the 32nd IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2024

S-LGCN: Software-Hardware Co-Design for Accelerating LightGCN.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

2023
Graph-OPU: A Highly Integrated FPGA-Based Overlay Processor for Graph Neural Networks.
Proceedings of the 33rd International Conference on Field-Programmable Logic and Applications, 2023

Graph-OPU: An FPGA-Based Overlay Processor for Graph Neural Networks.
Proceedings of the 2023 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, 2023

2022
A survey of field programmable gate array (FPGA)-based graph convolutional neural network accelerators: challenges and opportunities.
PeerJ Comput. Sci., 2022


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