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2020 – today
- 2023
[j30]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): 485-498 (2023)- [c102]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: 274-287 - [i28]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 abs/2301.03166 (2023) - [i27]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 abs/2304.03890 (2023) - [i26]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 abs/2305.01024 (2023) - [i25]Shixun Wu, Yujia Zhai, Jiajun Huang, Zizhe Jian, Zizhong Chen:
FT-GEMM: A Fault Tolerant High Performance GEMM Implementation on x86 CPUs. CoRR abs/2305.02444 (2023) - [i24]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 abs/2305.10612 (2023) - 2022
- [j29]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: 107907 (2022) - [j28]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: 109506 (2022) - [j27]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): 87-99 (2022) - [j26]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): 10444-10457 (2022) - [j25]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): 1231-1242 (2022) - [j24]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): 2916-2930 (2022) - [c101]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: 1556-1563 - [c100]Kai Zhao, Sheng Di, Danny Perez, Xin Liang, Zizhong Chen, Franck Cappello:
MDZ: An Efficient Error-bounded Lossy Compressor for Molecular Dynamics. ICDE 2022: 27-40 - [c99]Yujia Zhai, Mohannad Ibrahim, Yiqin Qiu, Fabian Boemer, Zizhong Chen, Alexey Titov, Alexander Lyashevsky:
Accelerating Encrypted Computing on Intel GPUs. IPDPS 2022: 705-716 - [c98]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: 62:1-62:15 - [i23]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 abs/2201.00436 (2022) - [i22]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 abs/2201.05007 (2022) - [i21]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 abs/2210.03052 (2022) - 2021
- [j23]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: 397-428 (2021) - [j22]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): 1677-1689 (2021) - [c97]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: 2986-2991 - [c96]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: 294-306 - [c95]Kaiming Ouyang, Min Si, Atsushi Hori, Zizhong Chen, Pavan Balaji:
Daps: A Dynamic Asynchronous Progress Stealing Model for MPI Communication. CLUSTER 2021: 516-527 - [c94]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: 1643-1654 - [c93]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: 127-138 - [c92]Caoxiao Li, Shuyin Xia, Jingcheng Fu, Zizhong Chen, Binggui Wang:
An Improved Genetic Algorithm Based on k-means. ISEEIE 2021: 367-372 - [c91]Daowan Peng, Zizhong Chen, Jingcheng Fu, Shuyin Xia, Qing Wen:
Fast k-means Clustering Based on the Neighbor Information. ISEEIE 2021: 551-555 - [c90]Wenhua Li, Shuyin Xia, Zizhong Chen:
A Fast Attribute Reduction Algorithm of Neighborhood Rough Set. KST 2021: 43-48 - [c89]Quan Fan, Zizhong Chen:
Locality-aware Thread Block Design in Single and Multi-GPU Graph Processing. NAS 2021: 1-4 - [c88]Sihuan Li, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello:
Resilient error-bounded lossy compressor for data transfer. SC 2021: 94 - [i20]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 abs/2101.03201 (2021) - [i19]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 abs/2103.00130 (2021) - [i18]Yujia Zhai, Elisabeth Giem, Quan Fan, Kai Zhao, Jinyang Liu, Zizhong Chen:
FT-BLAS: A High Performance BLAS Implementation With Online Fault Tolerance. CoRR abs/2104.00897 (2021) - [i17]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 abs/2105.11730 (2021) - [i16]Yujia Zhai, Mohannad Ibrahim, Yiqin Qiu, Fabian Boemer, Zizhong Chen, Alexey Titov, Alexander Lyashevsky:
Accelerating Encrypted Computing on Intel GPUs. CoRR abs/2109.14704 (2021) - [i15]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 abs/2111.02925 (2021) - 2020
- [j21]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: 158-173 (2020) - [c87]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: 81-90 - [c86]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: 2716-2724 - [c85]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: 326-336 - [c84]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: 89-100 - [c83]Hadi Zamani, Devashree Tripathy, Laxmi N. Bhuyan, Zizhong Chen:
SAOU: safe adaptive overclocking and undervolting for energy-efficient GPU computing. ISLPED 2020: 205-210 - [c82]Kaiming Ouyang, Min Si, Atsushi Hori, Zizhong Chen, Pavan Balaji:
CAB-MPI: exploring interprocess work-stealing towards balanced MPI communication. SC 2020: 36 - [i14]Jinyang Liu, Yujia Zhai, Zizhong Chen:
Normalization of Input-output Shared Embeddings in Text Generation Models. CoRR abs/2001.07885 (2020) - [i13]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 abs/2003.12203 (2020) - [i12]Shuyin Xia, Daowan Peng, Deyu Meng, Changqing Zhang, Guoyin Wang, Zizhong Chen, Wei Wei:
Ball k-means. CoRR abs/2005.00784 (2020) - [i11]Sihuan Li, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello:
SDC Resilient Error-bounded Lossy Compressor. CoRR abs/2010.03144 (2020)
2010 – 2019
- 2019
- [j20]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: 168175-168186 (2019) - [j19]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) - [j18]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): 2063-2078 (2019) - [j17]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): 1857-1871 (2019) - [c81]Hongbo Li, Zizhong Chen, Rajiv Gupta:
Efficient concolic testing of MPI applications. CC 2019: 193-204 - [c80]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: 122-131 - [c79]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: 1-11 - [c78]Caoxiao Li, Shuyin Xia, Zizhong Chen, Guoyin Wang:
A Multi-granularity Genetic Algorithm. ICBK 2019: 145-151 - [c77]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: 106-116 - [c76]Hadi Zamani, Yuanlai Liu, Devashree Tripathy, Laxmi N. Bhuyan, Zizhong Chen:
GreenMM: energy efficient GPU matrix multiplication through undervolting. ICS 2019: 308-318 - [c75]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: 33:1-33:26 - [c74]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: 71:1-71:17 - 2018
- [j16]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): 1850004:1-1850004:17 (2018) - [c73]Sihuan Li, Sheng Di, Xin Liang, Zizhong Chen, Franck Cappello:
Optimizing Lossy Compression with Adjacent Snapshots for N-body Simulation Data. IEEE BigData 2018: 428-437 - [c72]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: 438-447 - [c71]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: 1737-1746 - [c70]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: 179-189 - [c69]Dingwen Tao, Sheng Di, Xin Liang, Zizhong Chen, Franck Cappello:
Fixed-PSNR Lossy Compression for Scientific Data. CLUSTER 2018: 314-318 - [c68]Dingwen Tao, Sheng Di, Xin Liang, Zizhong Chen, Franck Cappello:
Improving performance of iterative methods by lossy checkponting. HPDC 2018: 52-65 - [c67]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: 192-205 - [c66]Zizhong Chen, Xin Ding, Shuyin Xia, Baiyun Chen:
The k-Means Forest Classifier for High Dimensional Data. ICBK 2018: 322-327 - [c65]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: 1029-1038 - [c64]Hongbo Li, Zizhong Chen, Rajiv Gupta, Min Xie:
Non-intrusively Avoiding Scaling Problems in and out of MPI Collectives. IPDPS Workshops 2018: 415-424 - [c63]Hongbo Li, Sihuan Li, Zachary Benavides, Zizhong Chen, Rajiv Gupta:
COMPI: Concolic Testing for MPI Applications. IPDPS 2018: 865-874 - [c62]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: 68:1-68:12 - [i10]Dingwen Tao, Sheng Di, Xin Liang, Zizhong Chen, Franck Cappello:
Improving Performance of Iterative Methods by Lossy Checkponting. CoRR abs/1804.11268 (2018) - [i9]Dingwen Tao, Sheng Di, Xin Liang, Zizhong Chen, Franck Cappello:
Fixed-PSNR Lossy Compression for Scientific Data. CoRR abs/1805.07384 (2018) - [i8]Dingwen Tao, Sheng Di, Xin Liang, Zizhong Chen, Franck Cappello:
Optimizing Lossy Compression Rate-Distortion from Automatic Online Selection between SZ and ZFP. CoRR abs/1806.08901 (2018) - 2017
- [c61]Dingwen Tao, Sheng Di, Zizhong Chen, Franck Cappello:
In-depth exploration of single-snapshot lossy compression techniques for N-body simulations. IEEE BigData 2017: 486-493 - [c60]Zizhong Chen:
HIPS Keynote. IPDPS Workshops 2017: 755 - [c59]Dingwen Tao, Sheng Di, Zizhong Chen, Franck Cappello:
Significantly Improving Lossy Compression for Scientific Data Sets Based on Multidimensional Prediction and Error-Controlled Quantization. IPDPS 2017: 1129-1139 - [c58]Panruo Wu, Nathan DeBardeleben, Qiang Guan, Sean Blanchard, Jieyang Chen, Dingwen Tao, Xin Liang, Kaiming Ouyang, Zizhong Chen:
Silent Data Corruption Resilient Two-sided Matrix Factorizations. PPoPP 2017: 415-427 - [c57]Xin Liang, Jieyang Chen, Dingwen Tao, Sihuan Li, Panruo Wu, Hongbo Li, Kaiming Ouyang, Yuanlai Liu, Fengguang Song, Zizhong Chen:
Correcting soft errors online in fast fourier transform. SC 2017: 30 - [c56]Hongbo Li, Zizhong Chen, Rajiv Gupta:
Parastack: efficient hang detection for MPI programs at large scale. SC 2017: 63 - [c55]Dingwen Tao, Sheng Di, Zizhong Chen, Franck Cappello:
Exploration of Pattern-Matching Techniques for Lossy Compression on Cosmology Simulation Data Sets. ISC Workshops 2017: 43-54 - [i7]Dingwen Tao, Sheng Di, Zizhong Chen, Franck Cappello:
Significantly Improving Lossy Compression for Scientific Data Sets Based on Multidimensional Prediction and Error-Controlled Quantization. CoRR abs/1706.03791 (2017) - [i6]Dingwen Tao, Sheng Di, Zizhong Chen, Franck Cappello:
Exploration of Pattern-Matching Techniques for Lossy Compression on Cosmology Simulation Data Sets. CoRR abs/1707.08205 (2017) - [i5]Dingwen Tao, Sheng Di, Hanqi Guo, Zizhong Chen, Franck Cappello:
Z-checker: A Framework for Assessing Lossy Compression of Scientific Data. CoRR abs/1707.09320 (2017) - [i4]Dingwen Tao, Sheng Di, Zizhong Chen, Franck Cappello:
In-Depth Exploration of Single-Snapshot Lossy Compression Techniques for N-Body Simulations. CoRR abs/1711.03888 (2017) - [i3]Jieyang Chen, Qiang Guan, Xin Liang, Louis James Vernon, Allen McPherson, Li-Ta Lo, Zizhong Chen, James Paul Ahrens:
Docker-Enabled Build and Execution Environment (BEE): an Encapsulated Environment Enabling HPC Applications Running Everywhere. CoRR abs/1712.06790 (2017) - 2016
- [j15]Li Tan, Zizhong Chen, Shuaiwen Leon Song:
Scalable Energy Efficiency with Resilience for High Performance Computing Systems: A Quantitative Methodology. ACM Trans. Archit. Code Optim. 12(4): 35:1-35:27 (2016) - [c54]Panruo Wu, Qiang Guan, Nathan DeBardeleben, Sean Blanchard, Dingwen Tao, Xin Liang, Jieyang Chen, Zizhong Chen:
Towards Practical Algorithm Based Fault Tolerance in Dense Linear Algebra. HPDC 2016: 31-42 - [c53]Dingwen Tao, Shuaiwen Leon Song, Sriram Krishnamoorthy, Panruo Wu, Xin Liang, Eddy Z. Zhang, Darren J. Kerbyson, Zizhong Chen:
New-Sum: A Novel Online ABFT Scheme For General Iterative Methods. HPDC 2016: 43-55 - [c52]Panruo Wu, Dong Li, Zizhong Chen, Jeffrey S. Vetter, Sparsh Mittal:
Algorithm-Directed Data Placement in Explicitly Managed Non-Volatile Memory. HPDC 2016: 141-152 - [c51]Weijian Zheng, Fengguang Song, Lan Lin, Zizhong Chen:
suCAQR: A Simplified Communication-Avoiding QR Factorization Solver Using the TBLAS Framework. ICPADS 2016: 1092-1099 - [c50]Jieyang Chen, Xin Liang, Zizhong Chen:
Online Algorithm-Based Fault Tolerance for Cholesky Decomposition on Heterogeneous Systems with GPUs. IPDPS 2016: 993-1002 - [c49]Jieyang Chen, Sihuan Li, Zizhong Chen:
GPU-ABFT: Optimizing Algorithm-Based Fault Tolerance for Heterogeneous Systems with GPUs. NAS 2016: 1-2 - [c48]Jieyang Chen, Li Tan, Panruo Wu, Dingwen Tao, Hongbo Li, Xin Liang, Sihuan Li, Rong Ge, Laxmi N. Bhuyan, Zizhong Chen:
GreenLA: green linear algebra software for GPU-accelerated heterogeneous computing. SC 2016: 667-677 - 2015
- [j14]Christer Karlsson, Zizhong Chen:
Optimising MPI tree-based communication for NUMA architectures. Int. J. Auton. Adapt. Commun. Syst. 8(4): 407-423 (2015) - [j13]Doug Hakkarinen, Panruo Wu, Zizhong Chen:
Fail-Stop Failure Algorithm-Based Fault Tolerance for Cholesky Decomposition. IEEE Trans. Parallel Distributed Syst. 26(5): 1323-1335 (2015) - [c47]Jieyang Chen, Zizhong Chen:
Cholesky Factorization on Heterogeneous CPU and GPU Systems. FCST 2015: 19-26 - [c46]Teresa Davies, Xin Liang, Jieyang Chen, Zizhong Chen:
Simulated Annealing to Generate Numerically Stable Real Number Error Correction Codes. HPCC/CSS/ICESS 2015: 611-616 - [c45]Li Tan, Shuaiwen Leon Song, Panruo Wu, Zizhong Chen, Rong Ge, Darren J. Kerbyson:
Investigating the Interplay between Energy Efficiency and Resilience in High Performance Computing. IPDPS 2015: 786-796 - [c44]Li Tan, Zizhong Chen:
Slow Down or Halt: Saving the Optimal Energy for Scalable HPC Systems. ICPE 2015: 241-244 - 2014
- [j12]Li Tan, Shashank Kothapalli, Longxiang Chen, Omar Hussaini, Ryan Bissiri, Zizhong Chen:
A survey of power and energy efficient techniques for high performance numerical linear algebra operations. Parallel Comput. 40(10): 559-573 (2014) - [c43]Panruo Wu, Zizhong Chen:
FT-ScaLAPACK: correcting soft errors on-line for ScaLAPACK cholesky, QR, and LU factorization routines. HPDC 2014: 49-60 - [c42]Li Tan, Longxiang Chen, Zizhong Chen, Ziliang Zong, Rong Ge, Dong Li:
HP-DAEMON: High Performance Distributed Adaptive Energy-efficient Matrix-multiplicatiON. ICCS 2014: 599-613 - [c41]Longxiang Chen, Dingwen Tao, Panruo Wu, Zizhong Chen:
Extending checksum-based ABFT to tolerate soft errors online in iterative methods. ICPADS 2014: 344-351 - [c40]Daniel Hathorn, Yushu Wu, Zizhong Chen:
TOUGH2-PETSc: A Parallel Solver for TOUGH2. PDCAT 2014: 174-179 - [c39]Li Tan, Zizhong Chen:
TX: algorithmic energy saving for distributed dense matrix factorizations. ScalA@SC 2014: 23-30 - [i2]