Department of Computer Science, Virginia Tech. Contact: xunj@vt.edu 

Xun (Steve) Jian

External Research Funding
    1.    CRII:SHF Award, 2019 ($180K, sole PI).
    2.    NSF SPX Medium grant, 2019 ($950K, co-PI, 25% credit). 
    3.    LANL Research Grant, 2020 ($100K, sole PI).
    4.    NSF SHF:CAREER Award, 2020 ($517K, sole PI).
    5.    Google Research Scholar Award, 2022 ($60K, sole PI). 
    6.    NSF CNS Medium grant, 2023 ($1million, PI).
    7.    Samsung MSL grant, 2024 ($250K, co-pi, 25% credit) 

Publications at Major Venues (Note: students from HEAP are underlined.)

New:

Thanks to support from NSF Career, LANL!

[6] ​     FAST 2023: "SHADE: Enable Fundamental Cacheability for Distributed Deep Learning Training" 
Redwan Ibne Seraj Khan (VT), Ahmad Hossein Yazdani (VT), Yuqi Fu (UVA), Arnab K. Paul (BITS Pilani), Bo Ji (VT),  Xun Jian, Yue Cheng (UVA), and Ali R. Butt (VT) (Acceptance rate: 28/123=23%)
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[5]      ISCA 2021: "Quantifying Server Memory Frequency Margin and Using it to Improve Performance in HPC Systems"
Da Zhang, Gagandeep Panwar, Jagadish Kotra (AMD), Nathan DeBardeleben (LANL), Sean Blanchard (LANL), Xun Jian (Acceptance rate: 76/406=19%)  
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[4]      ASPLOS  2020: "Forget Failure: Exploiting SRAM Data Remanence for Low-overhead Intermittent Computation" 
Harrison Williams (VT), Xun Jian, Matthew Hicks (VT) (Acceptance rate: 86/479=18%) READ PDF 

[3]      MICRO 2019:  "Quantifying Memory Underutilization in HPC Systems and Using it to Improve Performance via Architecture Support" Gagandeep Panwar, Da Zhang, Yihan Pang (VT), Mai Dahshan (VT), Nathan Debardeleben (LANL), Binoy Ravindran (VT), 
Xun Jian (Acceptance rate: 79/344=22.9%) READ PDF 

[2]      Micro (Top Picks Issue) 2019: "Nonblocking DRAM Refresh”
Kate Nguyen, Kehan Lyu, Xianze Meng, Vilas Sridharan (AMD), and Xun Jian. (Acceptance rate: 12/123=9.8%) 
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[1]      ISCA 2018: "Nonblocking Memory Refresh"
Kate Nguyen, Kehan Lyu, Xianze Meng, Vilas Sridharan (AMD), Xun Jian (Acceptance rate: 64/378=17.0%) READ PDF 

Thanks to support from NSF CSR, NSF SPX, and Google!

[​4]    CXL Memory Performance Profiling and Analysis". To appear in ASPLOS 2025. 
Jinshu Liu, Hamid Hadian, Yuyue Wang, Daniel S. Berger (Microsoft), Marie Nguyen (Samsung), Xun Jian, Sam H. Noh,  Huaicheng Li. 

[3]    MICRO 2024: "​Memory Allocation Under Hardware Compression"
Muhammad Laghari, Yuqing Liu, Gagandeep Panwar, David Bears, Chandler Jearls, Raghavendra Srinivas, Esha Choukse (Microsoft), Kirk W. Cameron, Ali R. Butt, Xun Jian. (Acceptance rate: 113/497=22.7%)
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[​2]    ISCA 2024: "​DyLeCT: Achieving Huge-page-like Translation Performance for Hardware-compressed Memory"
Gagandeep Panwar, Muhammad Laghari, Esha Choukse (Microsoft), Xun Jian. (Acceptance rate: 83/423=19.6%)  READ PDF   

[​1]    MICRO 2022: "Translation-optimized Memory Compression for Capacity"
Gagandeep Panwar, Muhammad Laghari, David Bears, Yuqing Liu, Chandler Jearls, Esha Choukse (Microsoft), Kirk Cameron (VT), Ali Butt (VT), Xun Jian. (Acceptance rate: 83/369=22%) 
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Thanks to support from NSF CRII!

[​3]    ISCA 2024: "​ Counter-light Memory Encryption"
Xin Wang, Jagadish Kotra (AMD), Alex Jones (Uni. of Pittsburg), Wenjie Xiong (VT),  Xun Jian. (Acceptance rate: 83/369=22%) 
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[2]    MICRO 2022: "Self-Reinforcing Memoization for Cryptography Calculations in Secure Memory Systems", 
Xin Wang, Daulet Talapkaliyev, Matthew Hicks (VT), Xun Jian. (Acceptance rate: 83/369=22%) READ PDF 

[1]    ​ MICRO 2022: "Eager Memory Cryptography in Caches"
Xin Wang, Jagadish Kotra (AMD), Xun Jian. (Acceptance rate: 83/369=22%) 
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[9]     MICRO 2018: "Exploring and Optimizing Chipkill-correct for Persistent Memory Based on High-density NVRAMs"
Da Zhang, Vilas Sridharan (AMD), and Xun Jian. (Acceptance rate: 74/351=21.1%) READ PDF 

[8]      HPCA 2017: "Understanding and Optimizing Power Consumption in Memory Networks"​             
Xun Jian, Pavan Hanumolu (UIUC), and Rakesh Kumar (UIUC). (Acceptance rate: 22%) READ PDF 

[7]      ISCA 2016: "Rescuing uncorrectable fault patterns in on-chip memories through error pattern transformation"
Henry Duwe, Xun Jian, Daniel Petrisko, and Rakesh Kumar. (Acceptance rate: 20%) READ PDF 

[6]     HPCA 2016: "Parity Helix: Efficient Protection against Single-Dimensional Faults in Multi-dimensional Memory Systems"
Xun Jian, Vilas Sridharan (AMD), Rakesh Kumar (UIUC). (Acceptance rate: 22%) READ PDF 

[5]      HPCA 2015: "Correction Prediction: Reducing Strong Error Correction Latency for Low Vmin On-chip Caches"
Henry Duwe (UIUC), Xun Jian, Rakesh Kumar (UIUC). (Acceptance rate: 23%) 
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[4]      SC 2014: "ECC Parity: A Technique for Efficient Memory Error Resilience for Multi-Channel Memory Systems"  
Xun Jian, Rakesh Kumar (UIUC) (Acceptance rate: 22%) READ PDF 

[3]      SC 2013: "Low-power, Low-storage-overhead Chipkill Correct via Multi-line Error Correction"
Xun Jian, Henry Duwe (UIUC), John Sartori (UIUC), Vilas Sridharan (UIUC), Rakesh Kumar (UIUC).  (Acceptance rate: 20%) READ PDF 

[2]      HPCA 2013: "Adaptive Reliability Chipkill Correct (ARCC)"
Xun Jian, Rakesh Kumar (UIUC) (Acceptance rate: 20%) READ PDF 

[1]     CAL (Best of the Year) 2012​: "​High Performance, Energy Efficient Chipkill Correct Memory with Multidimensional Parity"
Xun Jian, Henry Duwe (UIUC), John Sartori (UIUC), Rakesh Kumar. 
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