Zizhong Chen

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 122

Top Venues

CoRR

HPDC

IPDPS

Publications

Jinyang Liu, Sheng Di, Kai Zhao, Xin Liang, Sian Jin, Zizhe Jian, Jiajun Huang, Shixun Wu, Zizhong Chen, Franck Cappello
High-performance Effective Scientific Error-bounded Lossy Compression with Auto-tuned Multi-component Interpolation. Proc. ACM Manag. Data 2 (1) (2024)
Zizhe Jian, Sheng Di, Jinyang Liu, Kai Zhao, Xin Liang, Haiying Xu, Robert Underwood, Shixun Wu, Jiajun Huang, Zizhong Chen, Franck Cappello
CliZ: Optimizing Lossy Compression for Climate Datasets with Adaptive Fine-tuned Data Prediction. IPDPS (2024)
Jiajun Huang, Sheng Di, Xiaodong Yu, Yujia Zhai, Zhaorui Zhang, Jinyang Liu, Xiaoyi Lu, Ken Raffenetti, Hui Zhou, Kai Zhao, Zizhong Chen, Franck Cappello, Yanfei Guo, Rajeev Thakur
An Optimized Error-controlled MPI Collective Framework Integrated with Lossy Compression. IPDPS (2024)
Jiajun Huang, Sheng Di, Xiaodong Yu, Yujia Zhai, Jinyang Liu, Yafan Huang, Ken Raffenetti, Hui Zhou, Kai Zhao, Xiaoyi Lu, Zizhong Chen, Franck Cappello, Yanfei Guo, Rajeev Thakur
gZCCL: Compression-Accelerated Collective Communication Framework for GPU Clusters. ICS (2024)
Shixun Wu, Yujia Zhai, Jinyang Liu, Jiajun Huang, Zizhe Jian, Huangliang Dai, Sheng Di, Zizhong Chen, Franck Cappello
TurboFFT: A High-Performance Fast Fourier Transform with Fault Tolerance on GPU. CoRR (2024)
Jiajun Huang, Sheng Di, Xiaodong Yu, Yujia Zhai, Jinyang Liu, Yafan Huang, Ken Raffenetti, Hui Zhou, Kai Zhao, Zizhong Chen, Franck Cappello, Yanfei Guo, Rajeev Thakur
POSTER: Optimizing Collective Communications with Error-bounded Lossy Compression for GPU Clusters. PPoPP (2024)
Jiajun Huang, Kaiming Ouyang, Yujia Zhai, Jinyang Liu, Min Si, Ken Raffenetti, Hui Zhou, Atsushi Hori, Zizhong Chen, Yanfei Guo, Rajeev Thakur
Accelerating MPI Collectives with Process-in-Process-based Multi-object Techniques. HPDC (2023)
Jieyang Chen, Xin Liang, Kai Zhao, Hadi Zamani Sabzi, Laxmi N. Bhuyan, Zizhong Chen
Improving Energy Saving of One-Sided Matrix Decompositions on CPU-GPU Heterogeneous Systems. PPoPP (2023)
Yujia Zhai, Chengquan Jiang, Leyuan Wang, Xiaoying Jia, Shang Zhang, Zizhong Chen, Xin Liu, Yibo Zhu
ByteTransformer: A High-Performance Transformer Boosted for Variable-Length Inputs. IPDPS (2023)
Jinyang Liu, Sheng Di, Sian Jin, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello
SRN-SZ: Deep Leaning-Based Scientific Error-bounded Lossy Compression with Super-resolution Neural Networks. CoRR (2023)
Hadi Zamani, Laxmi N. Bhuyan, Jieyang Chen, Zizhong Chen
GreenMD: Energy-efficient Matrix Decomposition on Heterogeneous Multi-GPU Systems. ACM Trans. Parallel Comput. 10 (2) (2023)
Shuyin Xia, Shulin Wu, Xinxing Chen, Guoyin Wang, Xinbo Gao, Qinghua Zhang, Elisabeth Giem, Zizhong Chen
GRRS: Accurate and Efficient Neighborhood Rough Set for Feature Selection. IEEE Trans. Knowl. Data Eng. 35 (9) (2023)
Jinyang Liu, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello
Dynamic Quality Metric Oriented Error-bounded Lossy Compression for Scientific Datasets. CoRR (2023)
Shixun Wu, Yujia Zhai, Jiajun Huang, Zizhe Jian, Zizhong Chen
FT-GEMM: A Fault Tolerant High Performance GEMM Implementation on x86 CPUs. HPDC (2023)
Shixun Wu, Yujia Zhai, Jinyang Liu, Jiajun Huang, Zizhe Jian, Bryan M. Wong, Zizhong Chen
Anatomy of High-Performance GEMM with Online Fault Tolerance on GPUs. CoRR (2023)
Xin Liang, Sheng Di, Franck Cappello, Mukund Raj, Chunhui Liu, Kenji Ono, Zizhong Chen, Tom Peterka, Hanqi Guo
Toward Feature-Preserving Vector Field Compression. IEEE Trans. Vis. Comput. Graph. 29 (12) (2023)
Yuting Shi, Shuyin Xia, Zizhong Chen
GBCloud: a Robust Cloud Model for Processing Multi-dimensional Data Using Granular-ball Computing. ICMAI (2023)
Jieyang Chen, Xin Liang, Kai Zhao, Hadi Zamani Sabzi, Laxmi N. Bhuyan, Zizhong Chen
Improving Energy Saving of One-sided Matrix Decompositions on CPU-GPU Heterogeneous Systems. CoRR (2023)
Kaiming Ouyang, Vincent Tran, Jinyang Liu, Bryan M. Wong, Zizhong Chen
KF K-means: A High Performance K-means Implementation using Kernel Fusion. BigData (2023)
Shixun Wu, Yujia Zhai, Jiajun Huang, Zizhe Jian, Zizhong Chen
FT-GEMM: A Fault Tolerant High Performance GEMM Implementation on x86 CPUs. CoRR (2023)
Jinyang Liu, Sheng Di, Kai Zhao, Xin Liang, Sian Jin, Zizhe Jian, Jiajun Huang, Shixun Wu, Zizhong Chen, Franck Cappello
High-performance Effective Scientific Error-bounded Lossy Compression with Auto-tuned Multi-component Interpolation. CoRR (2023)
Jinyang Liu, Jiannan Tian, Shixun Wu, Sheng Di, Boyuan Zhang, Yafan Huang, Kai Zhao, Guanpeng Li, Dingwen Tao, Zizhong Chen, Franck Cappello
cuSZ-I: High-Fidelity Error-Bounded Lossy Compression for Scientific Data on GPUs. CoRR (2023)
Jinyang Liu, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello
FAZ: A flexible auto-tuned modular error-bounded compression framework for scientific data. ICS (2023)
Xin Liang, Kai Zhao, Sheng Di, Sihuan Li, Robert Underwood, Ali Murat Gok, Jiannan Tian, Junjing Deng, Jon C. Calhoun, Dingwen Tao, Zizhong Chen, Franck Cappello
SZ3: A Modular Framework for Composing Prediction-Based Error-Bounded Lossy Compressors. IEEE Trans. Big Data 9 (2) (2023)
Jiajun Huang, Kaiming Ouyang, Yujia Zhai, Jinyang Liu, Min Si, Ken Raffenetti, Hui Zhou, Atsushi Hori, Zizhong Chen, Yanfei Guo, Rajeev Thakur
PiP-MColl: Process-in-Process-based Multi-object MPI Collectives. CLUSTER (2023)
Yujia Zhai, Elisabeth Giem, Kai Zhao, Jinyang Liu, Jiajun Huang, Bryan M. Wong, Christian R. Shelton, Zizhong Chen
FT-BLAS: A Fault Tolerant High Performance BLAS Implementation on x86 CPUs. IEEE Trans. Parallel Distributed Syst. 34 (12) (2023)
Jiajun Huang, Sheng Di, Xiaodong Yu, Yujia Zhai, Jinyang Liu, Ken Raffenetti, Hui Zhou, Kai Zhao, Zizhong Chen, Franck Cappello, Yanfei Guo, Rajeev Thakur
C-Coll: Introducing Error-bounded Lossy Compression into MPI Collectives. CoRR (2023)
Jiajun Huang, Sheng Di, Xiaodong Yu, Yujia Zhai, Jinyang Liu, Yafan Huang, Ken Raffenetti, Hui Zhou, Kai Zhao, Zizhong Chen, Franck Cappello, Yanfei Guo, Rajeev Thakur
gZCCL: Compression-Accelerated Collective Communication Framework for GPU Clusters. CoRR (2023)
Jinyang Liu, Sheng Di, Sian Jin, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello
Scientific Error-bounded Lossy Compression with Super-resolution Neural Networks. BigData (2023)
Jiajun Huang, Jinyang Liu, Sheng Di, Yujia Zhai, Zizhe Jian, Shixun Wu, Kai Zhao, Zizhong Chen, Yanfei Guo, Franck Cappello
Exploring Wavelet Transform Usages for Error-bounded Scientific Data Compression. BigData (2023)
Shixun Wu, Yujia Zhai, Jinyang Liu, Jiajun Huang, Zizhe Jian, Bryan M. Wong, Zizhong Chen
Anatomy of High-Performance GEMM with Online Fault Tolerance on GPUs. ICS (2023)
Jiajun Huang, Kaiming Ouyang, Yujia Zhai, Jinyang Liu, Min Si, Ken Raffenetti, Hui Zhou, Atsushi Hori, Zizhong Chen, Yanfei Guo, Rajeev Thakur
Accelerating MPI Collectives with Process-in-Process-based Multi-object Techniques. CoRR (2023)
Jinyang Liu, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello
Dynamic Quality Metric Oriented Error Bounded Lossy Compression for Scientific Datasets. SC (2022)
Shuyin Xia, Longhai Huang, Guoyin Wang, Xinbo Gao, Yabin Shao, Zizhong Chen
An adaptive and general model for label noise detection using relative probabilistic density. Knowl. Based Syst. 239 (2022)
Kai Zhao, Sheng Di, Danny Perez, Xin Liang, Zizhong Chen, Franck Cappello
MDZ: An Efficient Error-bounded Lossy Compressor for Molecular Dynamics. ICDE (2022)
Shuyin Xia, Hao Zhang, Wenhua Li, Guoyin Wang, Elisabeth Giem, Zizhong Chen
GBNRS: A Novel Rough Set Algorithm for Fast Adaptive Attribute Reduction in Classification. IEEE Trans. Knowl. Data Eng. 34 (3) (2022)
Dawei Dai, Tao Chen, Shuyin Xia, Guoyin Wang, Zizhong Chen
Double embedding and bidirectional sentiment dependence detector for aspect sentiment triplet extraction. Knowl. Based Syst. 253 (2022)
Yujia Zhai, Chengquan Jiang, Leyuan Wang, Xiaoying Jia, Shang Zhang, Zizhong Chen, Xin Liu, Yibo Zhu
ByteTransformer: A High-Performance Transformer Boosted for Variable-Length Inputs. CoRR (2022)
Shuyin Xia, Baiyun Chen, Guoyin Wang, Yong Zheng, Xinbo Gao, Elisabeth Giem, Zizhong Chen
mCRF and mRD: Two Classification Methods Based on a Novel Multiclass Label Noise Filtering Learning Framework. IEEE Trans. Neural Networks Learn. Syst. 33 (7) (2022)
Yujia Zhai, Mohannad Ibrahim, Yiqin Qiu, Fabian Boemer, Zizhong Chen, Alexey Titov, Alexander Lyashevsky
Accelerating Encrypted Computing on Intel GPUs. IPDPS (2022)
Shuyin Xia, Yong Zheng, Guoyin Wang, Ping He, Heng Li, Zizhong Chen
Random Space Division Sampling for Label-Noisy Classification or Imbalanced Classification. IEEE Trans. Cybern. 52 (10) (2022)
Dawei Dai, Xiaoyu Tang, Shuyin Xia, Yingge Liu, Guoyin Wang, Zizhong Chen
Multi-granularity Association Learning Framework for on-the-fly Fine-Grained Sketch-based Image Retrieval. CoRR (2022)
Shuyin Xia, Daowan Peng, Deyu Meng, Changqing Zhang, Guoyin Wang, Elisabeth Giem, Wei Wei, Zizhong Chen
Ball $k$k-Means: Fast Adaptive Clustering With No Bounds. IEEE Trans. Pattern Anal. Mach. Intell. 44 (1) (2022)
Shuyin Xia, Xinyu Bai, Guoyin Wang, Deyu Meng, Xinbo Gao, Zizhong Chen, Elisabeth Giem
An Efficient and Accurate Rough Set for Feature Selection, Classification and Knowledge Representation. CoRR (2022)
Sihuan Li, Jianyu Huang, Ping Tak Peter Tang, Daya Shanker Khudia, Jongsoo Park, Harish Dattatraya Dixit, Zizhong Chen
Efficient Soft-Error Detection for Low-precision Deep Learning Recommendation Models. Big Data (2022)
Yujia Zhai, Elisabeth Giem, Quan Fan, Kai Zhao, Jinyang Liu, Zizhong Chen
FT-BLAS: A High Performance BLAS Implementation With Online Fault Tolerance. CoRR (2021)
Quan Fan, Zizhong Chen
Locality-aware Thread Block Design in Single and Multi-GPU Graph Processing. NAS (2021)
Jinyang Liu, Sihuan Li, Sheng Di, Xin Liang, Kai Zhao, Dingwen Tao, Zizhong Chen, Franck Cappello
Improving Lossy Compression for SZ by Exploring the Best-Fit Lossless Compression Techniques. IEEE BigData (2021)
Kaiming Ouyang, Min Si, Astushi Hori, Zizhong Chen, Pavan Balaji
Daps: A Dynamic Asynchronous Progress Stealing Model for MPI Communication. CLUSTER (2021)
Xin Liang, Kai Zhao, Sheng Di, Sihuan Li, Robert Underwood, Ali Murat Gok, Jiannan Tian, Junjing Deng, Jon C. Calhoun, Dingwen Tao, Zizhong Chen, Franck Cappello
SZ3: A Modular Framework for Composing Prediction-Based Error-Bounded Lossy Compressors. CoRR (2021)
Daowan Peng, Zizhong Chen, Jingcheng Fu, Shuyin Xia, Qing Wen
Fast k-means Clustering Based on the Neighbor Information. ISEEIE (2021)
Caoxiao Li, Shuyin Xia, Jingcheng Fu, Zizhong Chen, Binggui Wang
An Improved Genetic Algorithm Based on k-means. ISEEIE (2021)
Jinyang Liu, Sheng Di, Kai Zhao, Sian Jin, Dingwen Tao, Xin Liang, Zizhong Chen, Franck Cappello
Exploring Autoencoder-based Error-bounded Compression for Scientific Data. CLUSTER (2021)
Sihuan Li, Jianyu Huang, Ping Tak Peter Tang, Daya Shanker Khudia, Jongsoo Park, Harish Dattatraya Dixit, Zizhong Chen
Efficient Soft-Error Detection for Low-precision Deep Learning Recommendation Models. CoRR (2021)
Yujia Zhai, Mohannad Ibrahim, Yiqin Qiu, Fabian Boemer, Zizhong Chen, Alexey Titov, Alexander Lyashevsky
Accelerating Encrypted Computing on Intel GPUs. CoRR (2021)
Yujia Zhai, Elisabeth Giem, Quan Fan, Kai Zhao, Jinyang Liu, Zizhong Chen
FT-BLAS: a high performance BLAS implementation with online fault tolerance. ICS (2021)
Wenhua Li, Shuyin Xia, Zizhong Chen
A Fast Attribute Reduction Algorithm of Neighborhood Rough Set. KST (2021)
Kai Zhao, Sheng Di, Maxim Dmitriev, Thierry-Laurent D. Tonellot, Zizhong Chen, Franck Cappello
Optimizing Error-Bounded Lossy Compression for Scientific Data by Dynamic Spline Interpolation. ICDE (2021)
Kai Zhao, Sheng Di, Sihuan Li, Xin Liang, Yujia Zhai, Jieyang Chen, Kaiming Ouyang, Franck Cappello, Zizhong Chen
FT-CNN: Algorithm-Based Fault Tolerance for Convolutional Neural Networks. IEEE Trans. Parallel Distributed Syst. 32 (7) (2021)
Kai Zhao, Sheng Di, Xin Liang, Sihuan Li, Dingwen Tao, Julie Bessac, Zizhong Chen, Franck Cappello
SDRBench: Scientific Data Reduction Benchmark for Lossy Compressors. CoRR (2021)
Sihuan Li, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello
Resilient error-bounded lossy compressor for data transfer. SC (2021)
Baiyun Chen, Shuyin Xia, Zizhong Chen, Binggui Wang, Guoyin Wang
RSMOTE: A self-adaptive robust SMOTE for imbalanced problems with label noise. Inf. Sci. 553 (2021)
Jinyang Liu, Sheng Di, Kai Zhao, Sian Jin, Dingwen Tao, Xin Liang, Zizhong Chen, Franck Cappello
Exploring Autoencoder-Based Error-Bounded Compression for Scientific Data. CoRR (2021)
Kai Zhao, Sheng Di, Xin Liang, Sihuan Li, Dingwen Tao, Julie Bessac, Zizhong Chen, Franck Cappello
SDRBench: Scientific Data Reduction Benchmark for Lossy Compressors. IEEE BigData (2020)
Sihuan Li, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello
Towards End-to-end SDC Detection for HPC Applications Equipped with Lossy Compression. CLUSTER (2020)
Shexiang Hai, Zengtai Gong, Zizhong Chen
Weighted pseudometric approximation of 2-dimensional fuzzy numbers by fuzzy 2-cell prismoid numbers preserving the centroid. Fuzzy Sets Syst. 387 (2020)
Kai Zhao, Sheng Di, Sihuan Li, Xin Liang, Yujia Zhai, Jieyang Chen, Kaiming Ouyang, Franck Cappello, Zizhong Chen
Algorithm-Based Fault Tolerance for Convolutional Neural Networks. CoRR (2020)
Kaiming Ouyang, Min Si, Atsushi Hori, Zizhong Chen, Pavan Balaji
CAB-MPI: exploring interprocess work-stealing towards balanced MPI communication. SC (2020)
Sihuan Li, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello
SDC Resilient Error-bounded Lossy Compressor. CoRR (2020)
Kai Zhao, Sheng Di, Xin Liang, Sihuan Li, Dingwen Tao, Zizhong Chen, Franck Cappello
Significantly Improving Lossy Compression for HPC Datasets with Second-Order Prediction and Parameter Optimization. HPDC (2020)
Hadi Zamani, Devashree Tripathy, Laxmi N. Bhuyan, Zizhong Chen
SAOU: safe adaptive overclocking and undervolting for energy-efficient GPU computing. ISLPED (2020)
Xin Liang, Hanqi Guo, Sheng Di, Franck Cappello, Mukund Raj, Chunhui Liu, Kenji Ono, Zizhong Chen, Tom Peterka
Toward Feature-Preserving 2D and 3D Vector Field Compression. PacificVis (2020)
Jinyang Liu, Yujia Zhai, Zizhong Chen
Normalization of Input-output Shared Embeddings in Text Generation Models. CoRR (2020)
Shuyin Xia, Daowan Peng, Deyu Meng, Changqing Zhang, Guoyin Wang, Zizhong Chen, Wei Wei
Ball k-means. CoRR (2020)
Shuyin Xia, Yulong Xia, Hong Yu, Qun Liu, Yueguo Luo, Guoyin Wang, Zizhong Chen
Transferring Ensemble Representations Using Deep Convolutional Neural Networks for Small-Scale Image Classification. IEEE Access 7 (2019)
Dingwen Tao, Sheng Di, Hanqi Guo, Zizhong Chen, Franck Cappello
Z-checker: A framework for assessing lossy compression of scientific data. Int. J. High Perform. Comput. Appl. 33 (2) (2019)
Xin Liang, Sheng Di, Dingwen Tao, Sihuan Li, Bogdan Nicolae, Zizhong Chen, Franck Cappello
Improving Performance of Data Dumping with Lossy Compression for Scientific Simulation. CLUSTER (2019)
Shuyin Xia, Guoyin Wang, Zizhong Chen, Yanlin Duan, Qun Liu
Complete Random Forest Based Class Noise Filtering Learning for Improving the Generalizability of Classifiers. IEEE Trans. Knowl. Data Eng. 31 (11) (2019)
Sihuan Li, Hongbo Li, Xin Liang, Jieyang Chen, Elisabeth Giem, Kaiming Ouyang, Kai Zhao, Sheng Di, Franck Cappello, Zizhong Chen
FT-iSort: efficient fault tolerance for introsort. SC (2019)
Hadi Zamani, Yuanlai Liu, Devashree Tripathy, Laxmi N. Bhuyan, Zizhong Chen
GreenMM: energy efficient GPU matrix multiplication through undervolting. ICS (2019)
Dingwen Tao, Sheng Di, Xin Liang, Zizhong Chen, Franck Cappello
Optimizing Lossy Compression Rate-Distortion from Automatic Online Selection between SZ and ZFP. IEEE Trans. Parallel Distributed Syst. 30 (8) (2019)
Hongbo Li, Zizhong Chen, Rajiv Gupta
Efficient concolic testing of MPI applications. CC (2019)
Caoxiao Li, Shuyin Xia, Zizhong Chen, Guoyin Wang
A Multi-granularity Genetic Algorithm. ICBK (2019)
Jieyang Chen, Nan Xiong, Xin Liang, Dingwen Tao, Sihuan Li, Kaiming Ouyang, Kai Zhao, Nathan DeBardeleben, Qiang Guan, Zizhong Chen
TSM2: optimizing tall-and-skinny matrix-matrix multiplication on GPUs. ICS (2019)
Yuanlai Liu, Zhengchun Liu, Rajkumar Kettimuthu, Nageswara S. V. Rao, Zizhong Chen, Ian T. Foster
Data Transfer between Scientific Facilities - Bottleneck Analysis, Insights and Optimizations. CCGRID (2019)
Xin Liang, Sheng Di, Sihuan Li, Dingwen Tao, Bogdan Nicolae, Zizhong Chen, Franck Cappello
Significantly improving lossy compression quality based on an optimized hybrid prediction model. SC (2019)
Jieyang Chen, Qiang Guan, Xin Liang, Paul Bryant, Patricia Grubel, Allen McPherson, Li-Ta Lo, Timothy Randles, Zizhong Chen, James Paul Ahrens
Build and Execution Environment (BEE): an Encapsulated Environment Enabling HPC Applications Running Everywhere. IEEE BigData (2018)
Jieyang Chen, Hongbo Li, Sihuan Li, Xin Liang, Panruo Wu, Dingwen Tao, Kaiming Ouyang, Yuanlai Liu, Kai Zhao, Qiang Guan, Zizhong Chen
Fault tolerant one-sided matrix decompositions on heterogeneous systems with GPUs. SC (2018)
Dingwen Tao, Sheng Di, Xin Liang, Zizhong Chen, Franck Cappello
Fixed-PSNR Lossy Compression for Scientific Data. CLUSTER (2018)
Dingwen Tao, Sheng Di, Xin Liang, Zizhong Chen, Franck Cappello
Improving performance of iterative methods by lossy checkponting. HPDC (2018)
Sihuan Li, Sheng Di, Xin Liang, Zizhong Chen, Franck Cappello
Optimizing Lossy Compression with Adjacent Snapshots for N-body Simulation Data. IEEE BigData (2018)
Dingwen Tao, Sheng Di, Xin Liang, Zizhong Chen, Franck Cappello
Optimizing Lossy Compression Rate-Distortion from Automatic Online Selection between SZ and ZFP. CoRR (2018)
Hongbo Li, Zizhong Chen, Rajiv Gupta, Min Xie
Non-intrusively Avoiding Scaling Problems in and out of MPI Collectives. IPDPS Workshops (2018)
Xin Liang, Sheng Di, Dingwen Tao, Sihuan Li, Shaomeng Li, Hanqi Guo, Zizhong Chen, Franck Cappello
Error-Controlled Lossy Compression Optimized for High Compression Ratios of Scientific Datasets. IEEE BigData (2018)
Hongbo Li, Sihuan Li, Zachary Benavides, Zizhong Chen, Rajiv Gupta
COMPI: Concolic Testing for MPI Applications. IPDPS (2018)
Jieyang Chen, Qiang Guan, Zhao Zhang, Xin Liang, Louis James Vernon, Allen McPherson, Li-Ta Lo, Patricia Grubel, Tim Randles, Zizhong Chen, James P. Ahrens
BeeFlow: A Workflow Management System for In Situ Processing across HPC and Cloud Systems. ICDCS (2018)
Dingwen Tao, Sheng Di, Xin Liang, Zizhong Chen, Franck Cappello
Improving Performance of Iterative Methods by Lossy Checkponting. CoRR (2018)
Xin Liang, Sheng Di, Dingwen Tao, Zizhong Chen, Franck Cappello
An Efficient Transformation Scheme for Lossy Data Compression with Point-Wise Relative Error Bound. CLUSTER (2018)
Weijian Zheng, Fengguang Song, Lan Lin, Zizhong Chen
Scaling Up Parallel Computation of Tiled QR Factorizations by a Distributed Scheduling Runtime System and Analytical Modeling. Parallel Process. Lett. 28 (1) (2018)
Yuankun Fu, Feng Li, Fengguang Song, Zizhong Chen
Performance analysis and optimization of in-situ integration of simulation with data analysis: zipping applications up. HPDC (2018)

Zizhong Chen.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Zizhong Chen