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2020 – today

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2024
[j4]
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Yao Wang, Tao Yu, Tianmin Luo, Haojie Ye, Yiru Pan:
Fuzzy clustering for feature extraction in wavelet-based fault gear identification of electrical machines. J. Intell. Fuzzy Syst. 46(1): 2415-2431 (2024)
[i4]
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  - journals/corr/abs-2408-04693
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Yuchen Xia, Jiho Kim, Yuhan Chen, Haojie Ye, Souvik Kundu, Cong Hao, Nishil Talati:
Understanding the Performance and Estimating the Cost of LLM Fine-Tuning. CoRR abs/2408.04693 (2024)
2023
[j3]
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  - journals/cal/RobertsYBE23
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David Andrew Roberts, Haojie Ye, Tony Brewer, Sean Eilert:
In-Memory Versioning (IMV). IEEE Comput. Archit. Lett. 22(1): 65-68 (2023)
[j2]
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Yichao Yuan, Haojie Ye, Sanketh Vedula, Wynn Kaza, Nishil Talati:
Everest: GPU-Accelerated System For Mining Temporal Motifs. Proc. VLDB Endow. 17(2): 162-174 (2023)
[j1]
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Yuhan Chen, Haojie Ye, Sanketh Vedula, Alex M. Bronstein, Ronald G. Dreslinski, Trevor N. Mudge, Nishil Talati:
Demystifying Graph Sparsification Algorithms in Graph Properties Preservation. Proc. VLDB Endow. 17(3): 427-440 (2023)
[c9]
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  - conf/asplos/YeVC0BDMT23
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Haojie Ye, Sanketh Vedula, Yuhan Chen, Yichen Yang, Alex M. Bronstein, Ronald G. Dreslinski, Trevor N. Mudge, Nishil Talati:
GRACE: A Scalable Graph-Based Approach to Accelerating Recommendation Model Inference. ASPLOS (3) 2023: 282-301
[c8]
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  - conf/islped/KimYMDT23
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Heewoo Kim, Haojie Ye, Trevor N. Mudge, Ronald G. Dreslinski, Nishil Talati:
RecPIM: A PIM-Enabled DRAM-RRAM Hybrid Memory System For Recommendation Models. ISLPED 2023: 1-6
[c7]
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  - conf/issta/ZhaoCFYW23
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Yingquan Zhao, Junjie Chen, Ruifeng Fu, Haojie Ye, Zan Wang:
Testing the Compiler for a New-Born Programming Language: An Industrial Case Study (Experience Paper). ISSTA 2023: 551-563
[i3]
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  - journals/corr/abs-2310-02800
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Yichao Yuan, Haojie Ye, Sanketh Vedula, Wynn Kaza, Nishil Talati:
Everest: GPU-Accelerated System For Mining Temporal Motifs. CoRR abs/2310.02800 (2023)
[i2]
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  - journals/corr/abs-2311-12314
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Yuhan Chen, Haojie Ye, Sanketh Vedula, Alex M. Bronstein, Ronald G. Dreslinski, Trevor N. Mudge, Nishil Talati:
Demystifying Graph Sparsification Algorithms in Graph Properties Preservation. CoRR abs/2311.12314 (2023)
2022
[c6]
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  - conf/IEEEpact/BelaynehYCBMDT22
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Leul Belayneh, Haojie Ye, Kuan-Yu Chen, David T. Blaauw, Trevor N. Mudge, Ronald G. Dreslinski, Nishil Talati:
Locality-Aware Optimizations for Improving Remote Memory Latency in Multi-GPU Systems. PACT 2022: 304-316
[c5]
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  - conf/isca/TalatiY0BCBMD22
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Nishil Talati, Haojie Ye, Yichen Yang, Leul Belayneh, Kuan-Yu Chen, David T. Blaauw, Trevor N. Mudge, Ronald G. Dreslinski:
NDMiner: accelerating graph pattern mining using near data processing. ISCA 2022: 146-159
[c4]
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  - conf/micro/TalatiYVCCLYBBM22
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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:
Mint: An Accelerator For Mining Temporal Motifs. MICRO 2022: 1270-1287
2021
[c3]
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  - conf/iiswc/TalatiJYBDAMKD21
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Nishil Talati, Di Jin, Haojie Ye, Ajay Brahmakshatriya, Ganesh S. Dasika, Saman P. Amarasinghe, Trevor N. Mudge, Danai Koutra, Ronald G. Dreslinski:
A Deep Dive Into Understanding The Random Walk-Based Temporal Graph Learning. IISWC 2021: 87-100
[i1]
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  - journals/corr/abs-2104-09798
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Alireza Khadem, Haojie Ye, Trevor N. Mudge:
CoDR: Computation and Data Reuse Aware CNN Accelerator. CoRR abs/2104.09798 (2021)
2020
[c2]
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  - conf/ics/HePAFPRYCDM20
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Xin He, Subhankar Pal, Aporva Amarnath, Siying Feng, Dong-Hyeon Park, Austin Rovinski, Haojie Ye, Kuan-Yu Chen, Ronald G. Dreslinski, Trevor N. Mudge:
Sparse-TPU: adapting systolic arrays for sparse matrices. ICS 2020: 19:1-19:12
[c1]
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  - conf/samos/YangYCLTHMD20
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Yichen Yang, Haojie Ye, Yuhan Chen, Xueyang Liu, Nishil Talati, Xin He, Trevor N. Mudge, Ronald G. Dreslinski:
CoPTA: Contiguous Pattern Speculating TLB Architecture. SAMOS 2020: 67-83

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