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Dr. Qiang Guan

Scientist, Member of Technical Staff

Data Science at Scale Group

Computer, Computing and Statistical Science Division (CCS-7)

Los Alamos National Laboratory

Phone: 505-667-3821

Email: qguan@lanl.gov

Dr. Qiang Guan is a scientist in Data Science at Scale Team, CCS-7, Los Alamos National Laboratory. He is mentored by Dr. Nathan DeBardeleben, Sean Blanchard and Dr. James Ahrens. He is the technical lead of BEE (Build and Execution Environment) project. He obtained the Ph.D. degree in Computer Science and Engineering from University of North Texas, Denton, Texas, in 2014 (Ph.D. advisor : Dr. Song Fu. ). He received the M.S. degree in Information Engineering from Myongji University, Seoul, South Korea, in 2008 and B.S. degree in Communication Engineering from Northeastern University, Shenyang, China, in 2005. Respectively, he worked as a firmware/software Engineer in Techsphere Co., Ltd and Yullin Technology Co., Ltd.

I am going to join Computer Science Department of Kent State University in Spring 2018.

I have multiple RA positions available. If you have interests joining my team, please contact me.

Scholar link is here. And CV is here.

Research Interests

  • High Performance Computing.
  • Resilience and Power.
  • HPC-Cloud.
  • Virtualization and Container.
  • Visualization on Deep Learning
  • Workflow system.
  • Quantum Deep Learning.

Selected Publications (Full list)

[DFT'17] Taniya Siddiqua, Vilas Sridharan, Steven E. Raasch, Nathan DeBardeleben, Kurt B. Ferreira, Scott Levy, Elisabeth Baseman, Qiang Guan

Lifetime Memory Reliability Data from the Field

IEEE DFT 2017 (Best Paper Final List)

[EDCC'17] Ryan Slechta, Laura Monroe, Nathan DeBardeleben, Qiang Guan

Resilience Analysis of Top K Selection Algorithms

  • EDCC, 2017

[PARCO] Li Tan, Nathan DeBardeleben, Qiang Guan, Sean Blanchard, and Micheal Lang

Virtualization-based Quantitative Power Conservation for Inherently Resilient Applications

Journal of Parallel Computing (PARCO).

[HPDC'17] Bo Fang, Qiang Guan, Nathan DeBardeleben, Karthik Pattabiraman, Matei Ripeanu

LetGo: A Lightweight Continuous Framework for HPC Applications Under Failures

HPDC, 2017. Acceptance Rate:19%.

[PPoPP'17] Panruo Wu, Nathan DeBardeleben, Qiang Guan, Sean Blanchard, Jieyang Chen, Dingwen Tao, Xin Liang, Ouyang Kaiming, Sihuan Li, and Zizhong Chen

Silent Data Corruption Resilient Two-sided Matrix Factorizations

PPoPP, 2017. Acceptance Rate: 21.9% (29/132).

[SIMUTOOLS'16] Qiang Guan, Nathan DeBardeleben, Panruo Wu, Stephan Eidenbenz, Sean Blanchard, Laura Monroe, Elisabeth Baseman, and Li Tan

Design, Use, and Evaluation of P-FSEFI: A Parallel Soft Error Fault Injection Framework for Emulating Soft Errors in Parallel Applications

SIMUTOOLS 2016.

[HPDC'16] Panruo Wu, Qiang Guan, Nathan DeBardeleben, Sean Blanchard, Dingwen Tao, Xin Liang, Jieyang Chen, and Zizhong Chen,

Towards Practical Algorithm Based Fault Tolerance in Dense Linear Algebra

HPDC, 2016.

[Cluster'15] Qiang Guan, Nathan DeBardeleben, Brain Atkinson, Robert Robey and William Jones.

Towards Building Resilient Scientific Applications: Resilience Analysis on the Impact of Soft Error and Transient Error Tolerance With the CLAMR Hydrodynamic Mini-App

IEEE Cluster, 2015.

[IPDPS'14] Qiang Guan, Nathan DeBardeleben, Sean Blanchard and Song Fu

F-SEFI: A Fined-grained Soft Error Fault Injection Tool for Profiling Application Vulnerability

IPDPS, 2014.

[SRDS'13] Qiang Guan and Song Fu,

Adaptive Anomaly Identification by Exploring Metric Subspace in Cloud Computing Infrastructures

SRDS, 2013.

[GlobeCom'13] Qiang Guan and Song Fu,

Wavelet-Based Multi-scale Anomaly Identification in Cloud Computing Systems

IEEE Global Communications Conference (GlobeCom), 2013.

News:

    • Our TensorView work is accepted by DIDL'17.
    • Qiang is funded by LANL IS&T for quantum deep learning.
    • We published a paper on IEEE DFT'17.
    • Our work on studying the resilience of top K algorithm is accepted by EDCC'17.
    • Our LetGO paper is accepted by HPDC'17.
    • We published a paper on PPoPP'17.
    • P-FSEFI is open-sourced and available [github]
    • Dr. Guan starts to be the PI of BEE funded by DoE ECP from Sep 2016.