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.
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.
Correcting Soft Errors Online in LU Factorization.
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
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.
Highly Scalable Self-Healing Algorithms for High Performance Scientific Computing.
Pipelining Parallel Image Compositing and Delivery for Efficient Remote Visualization.
Algorithm-Based Fault Tolerance for Fail-Stop Failures.
Recovery Patterns for Iterative Methods in a Parallel Unstable Environment.
Self Adapting Numerical Software (SANS) Effort.
Algorithm-Based Checkpoint-Free Fault Tolerance for Parallel Matrix Multiplications on Volatile Resources.
Condition Numbers of Gaussian Random Matrices.
Fault Tolerant High Performance Computing by a Coding Approach.