Rui Liu

Orcid: 0000-0002-6515-652X

Affiliations:
  • Xiangtan University, Xiangtan, Hunan, China


According to our database1, Rui Liu authored at least 13 papers between 2022 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
GPA: A General-Purpose In-Memory Computing Accelerator.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2026

MACAM: A Flexible Computing-in-Memory Accelerator for Sparse Matrix-Dense Vector Multiplication.
Proceedings of the Design, Automation & Test in Europe Conference, 2026

2025
In-Memory Computing Accelerator for Iterative Linear Algebra Solvers.
IEEE Comput. Archit. Lett., 2025

CIM-BLAS: Computing-in-Memory Accelerator for BLAS.
Proceedings of the 62nd ACM/IEEE Design Automation Conference, 2025

2024
Crypto-DSEDA: A Domain-Specific EDA Flow for CiM-Based Cryptographic Accelerators.
IEEE Des. Test, October, 2024

GAS: General-Purpose In-Memory-Computing Accelerator for Sparse Matrix Multiplication.
IEEE Trans. Computers, June, 2024

MemSort: In-Memory Sorting Architecture.
Proceedings of the 42nd IEEE International Conference on Computer Design, 2024

2023
FeCrypto: Instruction Set Architecture for Cryptographic Algorithms Based on FeFET-Based In-Memory Computing.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., September, 2023

Hardware-Software Co-Design for Content-Based Sparse Attention.
Proceedings of the 41st IEEE International Conference on Computer Design, 2023

LIM-GEN: A Data-Guided Framework for Automated Generation of Heterogeneous Logic-in-Memory Architecture.
Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

FSPA: An FeFET-based Sparse Matrix-Dense Vector Multiplication Accelerator.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022
Re-FeMAT: A Reconfigurable Multifunctional FeFET-Based Memory Architecture.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

FeMIC: Multi-Operands in-Memory Computing Based on FeFETs.
Proceedings of the 27th Asia and South Pacific Design Automation Conference, 2022


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