Haojie Ye

According to our database, Haojie Ye authored at least 14 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Fuzzy clustering for feature extraction in wavelet-based fault gear identification of electrical machines.

Yao Wang, Tao Yu, Tianmin Luo, Haojie Ye, Yiru Pan

J. Intell. Fuzzy Syst., January, 2024

2023

Demystifying Graph Sparsification Algorithms in Graph Properties Preservation.

Yuhan Chen, Haojie Ye, Sanketh Vedula, Alex M. Bronstein, Ronald G. Dreslinski, Trevor N. Mudge, Nishil Talati

Proc. VLDB Endow., November, 2023

Everest: GPU-Accelerated System For Mining Temporal Motifs.

Yichao Yuan, Haojie Ye, Sanketh Vedula, Wynn Kaza, Nishil Talati

Proc. VLDB Endow., 2023

In-Memory Versioning (IMV).

David Andrew Roberts, Haojie Ye, Tony Brewer, Sean Eilert

IEEE Comput. Archit. Lett., 2023

Testing the Compiler for a New-Born Programming Language: An Industrial Case Study (Experience Paper).

Yingquan Zhao, Junjie Chen, Ruifeng Fu, Haojie Ye, Zan Wang

Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

RecPIM: A PIM-Enabled DRAM-RRAM Hybrid Memory System For Recommendation Models.

Heewoo Kim, Haojie Ye, Trevor N. Mudge, Ronald G. Dreslinski, Nishil Talati

Proceedings of the IEEE/ACM International Symposium on Low Power Electronics and Design, 2023

GRACE: A Scalable Graph-Based Approach to Accelerating Recommendation Model Inference.

Haojie Ye, Sanketh Vedula, Yuhan Chen, Yichen Yang, Alex M. Bronstein, Ronald G. Dreslinski, Trevor N. Mudge, Nishil Talati

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

2022

Mint: An Accelerator For Mining Temporal Motifs.

Nishil Talati, Haojie Ye, Sanketh Vedula, Kuan-Yu Chen, Yuhan Chen, Daniel Liu, Yichao Yuan, David T. Blaauw, Alex M. Bronstein, Trevor N. Mudge, Ronald G. Dreslinski

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

NDMiner: accelerating graph pattern mining using near data processing.

Nishil Talati, Haojie Ye, Yichen Yang, Leul Belayneh, Kuan-Yu Chen, David T. Blaauw, Trevor N. Mudge, Ronald G. Dreslinski

Proceedings of the ISCA '22: The 49th Annual International Symposium on Computer Architecture, New York, New York, USA, June 18, 2022

Locality-Aware Optimizations for Improving Remote Memory Latency in Multi-GPU Systems.

Leul Belayneh, Haojie Ye, Kuan-Yu Chen, David T. Blaauw, Trevor N. Mudge, Ronald G. Dreslinski, Nishil Talati

Proceedings of the International Conference on Parallel Architectures and Compilation Techniques, 2022

2021

CoDR: Computation and Data Reuse Aware CNN Accelerator.

Alireza Khadem, Haojie Ye, Trevor N. Mudge

CoRR, 2021

A Deep Dive Into Understanding The Random Walk-Based Temporal Graph Learning.

Nishil Talati, Di Jin, Haojie Ye, Ajay Brahmakshatriya, Ganesh S. Dasika, Saman P. Amarasinghe, Trevor N. Mudge, Danai Koutra, Ronald G. Dreslinski

Proceedings of the IEEE International Symposium on Workload Characterization, 2021

2020

CoPTA: Contiguous Pattern Speculating TLB Architecture.

Yichen Yang, Haojie Ye, Yuhan Chen, Xueyang Liu, Nishil Talati, Xin He, Trevor N. Mudge, Ronald G. Dreslinski

Proceedings of the Embedded Computer Systems: Architectures, Modeling, and Simulation, 2020

Sparse-TPU: adapting systolic arrays for sparse matrices.

Xin He, Subhankar Pal, Aporva Amarnath, Siying Feng, Dong-Hyeon Park, Austin Rovinski, Haojie Ye, Kuan-Yu Chen, Ronald G. Dreslinski, Trevor N. Mudge

Proceedings of the ICS '20: 2020 International Conference on Supercomputing, 2020