Zizhong (Jeffrey) Chen

Assistant Professor
Department of Computer Science and Engineering
University of California, Riverside
900 University Avenue, Riverside, CA 92521

Office:    422 Winston Chung Hall
Telephone: +1 951 827 2403
Fax:       +1 (951) 827 4643
Email:     My_Last_Name AT cs.ucr.edu

Announcement: Research Assistant (RA) positions are available for both graduate and undergraduate students intereted in high performance computing. If you are interested in working with me, please feel free to contact me.

Biography

Zizhong Chen is an Assistant Professor in the Department of Computer Science and Engineering of the Bourns College of Engineering at the University of California, Riverside. His research interests include high performance computing, parallel and distributed systems, fault tolerance and checkpointing, power-aware algorithms and software, grid and cloud computing, numerical algorithms and software, and large scale computer simulations. His research has been supported by National Science Foundation, Department of Energy, CMG Reservoir Simulation Foundation, and Microsoft Corporation. He received the National Science Foundation CAREER Award in 2012.

Education

• Ph.D. in Computer Science, The University of Tennessee, Knoxville. Advisor: Jack J. Dongarra.
  
• M.Sc. in Economics, Renmin University of China.
  
• B.Sc. in Mathematics, Beijing Normal University.
  

Selected Publications (Full List >>>)

• HPDC 2013:  Correcting Soft Errors Online in LU Factorization.
  
• PPoPP 2013:  Online-ABFT: An Online Algorithm Based Fault Tolerance Scheme for Soft Error Detection in Iterative Methods.
  
• TC 2013:  Multi-Level Diskless Checkpointing.
  
• HPDC 2011:  Algorithm-Based Recovery for Iterative Methods without Checkpointing.
  
• ICS 2011:  High Performance Linpack Benchmark: A Fault Tolerant Implementation without Checkpointing.
  
• IPDPS 2010:  Algorithmic Cholesky Factorization Fault Recovery.
  
• SC 2009:  Optimal Real Number Codes for Fault Tolerant Matrix Operations.
  
• TC 2009:  Highly Scalable Self-Healing Algorithms for High Performance Scientific Computing.
  
• JPDC 2009:  Pipelining Parallel Image Compositing and Delivery for Efficient Remote Visualization.
  
• TPDS 2008:  Algorithm-Based Fault Tolerance for Fail-Stop Failures.
  
• SISC 2007:  Recovery Patterns for Iterative Methods in a Parallel Unstable Environment.
  
• IBMJRD 2006:  Self Adapting Numerical Software (SANS) Effort.
  
• IPDPS 2006:  Algorithm-Based Checkpoint-Free Fault Tolerance for Parallel Matrix Multiplications on Volatile Resources.
  
• SIMAX 2005:  Condition Numbers of Gaussian Random Matrices.
  
• PPoPP 2005:  Fault Tolerant High Performance Computing by a Coding Approach.