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DINGWEN TAO

Assistant Professor in Computer Science

School of Electrical Engineering & Computer Science

Washington State University

Office: EME 406

Email: dingwen.tao@wsu.edu

Phone: +1 (509) 335-6602

 

BIOGRAPHY

Dr. Dingwen Tao is an Assistant Professor in the School of Electrical Engineering & Computer Science at Washington State University. He also holds an Adjunct position with the Department of Computer Science at the University of Alabama. He is the member of WSU High Performance Computing and Scalable Data Science Group.

Dr. Dingwen Tao received his Ph.D. in Computer Science from University of California, Riverside in 2018 and his B.S. in Mathematics from University of Science and Technology of China in 2013. Prior to joining WSU, he worked in Department of Computer Science at the University of Alabama (tenure-track assistant professor), Computational Science Initiative Division at Brookhaven National Laboratory, Mathematics and Computer Science Division at Argonne National Laboratory, and High-Performance Computing Group at Pacific Northwest National Laboratory.

Dr. Dingwen Tao was the receipt of the 2020 IEEE Computer Society TCHPC Early Career Researchers Award for Excellence in High Performance Computing, 2020 NSF CISE Research Initiation Initiative (CRII) Award, and 2017 UCR Dissertation Year Program (DYP) Award.

Dr. Dingwen Tao's research interests include high-performance computing (HPC), parallel and distributed system, big data analytics, scientific data management, fault tolerance and resilience, and large-scale machine learning. He has published in the top-tier HPC and big data conferences and journals, including IEEE/ACM SC, ACM ICS, ACM HPDC, ACM PPoPP, ACM PACT, IEEE IPDPS, IEEE Cluster, IEEE/ACM DAC, IEEE BigData, ICPP, IEEE TPDS, etc. He has been working closely with multiple teams teams and scientists from the Argonne National Lab, Los Alamos National Lab, Brookhaven National Laboratory, Oak Ridge National Lab, and Pacific Northwest National Lab. His research has been supported by NSF, DOE, NOAA, and Xilinx. For more details, please refer to his CV (EnglishChinese, short version).

WSU ranks #47 in Washington Monthly's 2020 list of top public universities. WSU EECS ranks #7 in design automation, #17 in HPC, #54 in database, #57 in AI, #61 in all system areas, and #74 in all areas, according to CSRankings. WSU CS graduate program ranks #75 in U.S. according to US News Rankings.

I am always looking for outstanding Ph.D. and undergraduate students who are interested in the area of high-performance computing and big data analytics. Details can be found here. Please send me your CV and transcript to me.

 

LATEST NEWS

  • 10/2020: A talk "Improving HPC and AI Systems and Applications Using Error-Bounded Lossy Compression " was given to School of Computer Science and Technology at USTC. [ Flyer ]

  • 10/2020: I will serve as the Lead Guest Editor of the special issue Scalable Computing Systems and Networks in Supercomputing in Journal of Supercomputing. Please consider a submission to IEEE ScalCom'21. 

  • 10/2020: Congratulations to Sian for being awarded the Mahmoud M. Dillsi Family Graduate Fellowship for the 2020‐2021 academic year! [ News ]

  • 09/2020: I was very honored to be selected for the 2020 IEEE Computer Society TCHPC Early Career Researchers Award for Excellence in High Performance Computing. [ IEEE News ] [ WSU News ]

  • 09/2020: The GPU/CUDA version of SZ (called cuSZ) has been officially released in GitHub

  • 08/2020: The official website of our SZ lossy compressor framework (http://szcompressor.org/) has been established.

  • 08/2020: A $65K project for "Improving GPU version of SZ for Scientific Applications at Extreme Scale" is awarded by Argonne National Lab (my role: single PI). Thanks a lot to ANL!

  • 08/2020: Congratulations to Sian and Jiannan for being selected as SC'20 Student Volunteers!

  • 08/2020: I will serve as Program Co-Chair for the 21st IEEE International Conference on Scalable Computing & Communications​ (ScalCom 2021). Please consider a submission.

  • 08/2020: I am excited to be invited to attend NSF workshop on cyberinfrastructure workforce development (CyberTraining). Thanks for NSF's invitation!

  • 07/2020: A $530K collaborative CDS&E project (with Sheng Di from UChicago) has been funded by NSF (my role: lead PI). Many thanks to NSF!

  • 07/2020: One paper has been accepted for publication in PACT'20! Congratulations to Jiannan!

  • 07/2020: Our group got a donation of about $7,000 hardware and software from Xilinx, Inc. Thanks a lot to Xilinx!

  • 05/2020: Our paper has been accepted for publication in ICPP'20!

  • 05/2020: A $400K CC* project (with Jeff Carver, Xiaoyan Hong, David Dixon from UA) was funded by NSF (my role: co-PI). Many thanks to NSF!

  • 04/2020: A $175K CRII project was funded by NSF (my role: single PI). Many thanks to NSF!

  • 04/2020: We are organizing The 1st International Workshop on Big Data Reduction in conjunction with IEEE BigData'20. I will serve as the Program Co-chair. Please consider a submission.

  • 04/2020: Sian and Cody from HiPDAC Lab received Outstanding Graduate Researcher & Outstanding Undergraduate Researcher awards from UA CS (one per year for each), respectively. Congratulations to Sian and Cody! [ News ]

  • 03/2020: One paper has been accepted for publication in HPDC'20!

  • 02/2020: One paper has been accepted for publication in DAC'20!

  • 01/2020: Our paper has been featured by HPCWire!

  • 01/2020: I will serve as TPC (poster session) of ACM/IEEE SC'20. Please consider a submission.

  • 12/2019: One paper has been accepted for publication in IEEE IPDPS'20. Congratulations to Sian!

  • 11/2019: One paper has been accepted for publication in ACM PPoPP'20. Congratulations to Jiannan!

  • 06/2019: One paper has been accepted for publication in IEEE/ACM SC'19.

  • 06/2019: A $5 million project for "Center for Remote Sensing of Snow and Soil Moisture" is awarded by NOAA (my role: co-PI). Many thanks to NOAA!

  • 06/2019: A $25k project for "Improving Lossy Compression for Scientific Applications at Extreme Scale" is awarded by Argonne National Lab (my role: single PI). Many thanks to ANL!

  • 04/2019: One paper has been accepted for publication in ACM ICS'19

  • 03/2019: One paper has been accepted for publication in ACM HPDC'19. Congratulations to Sian!

  • 01/2019: Two papers have been accepted for publication in IEEE TPDS.

  • 11/2018: Our group got a $4,000 hardware and software donation from Xilinx, Inc. Many thanks to Xilinx!


More highlights [...]

 

RESEARCH INTERESTS

Include but not limited to:

  • High-performance computing (HPC)

  • Parallel and distributed systems

  • Scientific data compression, management, and visualization

  • Heterogeneous and reconfigurable computing (GPUs and FPGAs)

  • Large-scale machine learning and deep learning

  • Resilient, trustworthy, and fault-tolerant computing

  • Energy-efficient computing

  • Scientific computing and simulations

  • Numerical algorithms and software

  • Big data software stacks and ecosystems

 

AWARDS

  • 2020 IEEE CS TCHPC Early Career Researchers Award for Excellence in High Performance Computing

  • 2020 NSF CISE Research Initiation Initiative (CRII) Award

  • 2017 UCR Dissertation Year Program (DYP) Award

 

SELECTED PUBLICATIONS

(with my students underlined, *corresponding author)

top-cs: top-tier Computer Science publication venue according to CSRankings

top-cr: top-tier Computer Science publication venue according to Conference Ranks

PACT'20

top-cr

Jiannan Tian, Sheng Di, Kai Zhao, Cody Rivera, Megan Hickman, Robert Underwood, Sian Jin, Xin Liang, Jon Calhoun, Dingwen Tao*, and Franck Cappello.

cuSZ: An Efficient GPU Based Error-Bounded Lossy Compression Framework for Scientific Data.

Proceedings of the 29th ACM International Conference on Parallel Architectures and Compilation Techniques, Atlanta, GA, USA, October 3-7, 2020. Acceptance Rate: 25% (35/137)  [ Paper ] [ Slides ] [ Talk​ ] [ GitHub ]

ICPP'20

top-cr

Zhenbo Hu, Xiangyu Zou, Wen Xia, Sian Jin, Dingwen Tao, Yang Liu, Weizhe Zhang, and Zheng Zhang.

Delta-DNN: Efficiently Compressing Deep Neural Networks via Exploiting Floats Similarity.

Proceedings of the 49th International Conference on Parallel Processing, Edmonton, AB, Canada, August 17-20 2020. Acceptance Rate: 28% (78/269). [ Paper ] [ Talk ]

ACM HPDC'20

top-cs, top-cr

Kai Zhao, Sheng Di, Xin Liang, Sihuan Li, Dingwen Tao, Zizhong Chen, and Franck Cappello.

Significantly Improving Lossy Compression for HPC Datasets with Second-Order Prediction and Parameter Optimization.

Proceedings of the 29th ACM International Symposium on High-Performance Parallel and Distributed Computing, Stockholm, Sweden, June 23-26, 2020. Acceptance Rate: 22% (16/71). [ Paper ] [ Talk ]

PRIOR TO WSU

DAC'20

top-cs, top-cr

Peiyan Dong, Siyue Wang, Wei Niu, Chengming Zhang, Sheng Lin, Zhengang Li, Yifan Gong, Bin Ren, Xue Lin, and Dingwen Tao*.

RTMobile: Beyond Real-Time Mobile Acceleration of RNNs for Speech Recognition.

Proceedings of the 57th Annual Design Automation Conference, San Francisco, CA, USA, July 19-23, 2020. Acceptance Rate: 23% (228/990). [ Paper ] [ Talk ]

IEEE IPDPS'20

top-cr

Sian Jin, Pascal Grosset, Christopher M. Biwer, Jesus Pulido, Jiannan Tian, Dingwen Tao*, and James Ahrens.

Understanding GPU-Based Lossy Compression for Extreme-Scale Cosmological Simulations.

Proceedings of the 34th IEEE International Parallel and Distributed Symposium, New Orleans, LA, May 18-22, 2020. Acceptance Rate: 24% (110/446) [ Paper ] [ Slides ]

IEEE TPDS

top journal, impact factor: 4.181

Xiangyu Zou, Tao Lu, Wen Xia, Xuan Wang, Weizhe Zhang, Haijun Zhang, Sheng Di, Dingwen Tao, and Franck Cappello.

Performance Optimization for Relative-Error-Bounded Lossy Compression on Scientific Data.

IEEE Transactions on Parallel and Distributed Systems, 31(7), 1665-1680. [ Paper ]

ACM PPOPP'20

top-cr

Jiannan Tian, Sheng Di, Chengming Zhang, Xin Liang, Sian Jin, Dazhao Cheng, Dingwen Tao*, and Franck Cappello.

waveSZ: A Hardware-Algorithm Co-Design of Efficient Lossy Compression for Scientific Data.

Proceedings of the 25th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, San Diego, California, USA, February 22-26, 2020. Acceptance Rate: 23% (28/121)  [ Paper ] [ Slides ]

ACM HPDC'19

top-cs, top-cr

Sian Jin, Sheng Di, Xin Liang, Jiannan Tian, Dingwen Tao*, and Franck Cappello.

DeepSZ: A Novel Framework to Compress Deep Neural Networks by Using Error-Bounded Lossy Compression.

Proceedings of the 28th ACM International Symposium on High-Performance Parallel and Distributed Computing, Phoenix, AZ, USA, June 24-28, 2019. Acceptance Rate: 20% (22/106) [ Paper ] [ Slides ]

IEEE TPDS

top journal, impact factor: 4.181

Dingwen Tao, Sheng Di, Xin Liang, Zizhong Chen, and Franck Cappello.

Optimizing Lossy Compression Rate-Distortion from Automatic Online Selection between SZ and ZFP.

IEEE Transactions on Parallel and Distributed Systems, 30(8), 1857-1871. [ Paper ]

IJHPCA

flagship journal, impact factor: 1.625

Dingwen Tao, Sheng Di, Hanqi Guo, Zizhong Chen, and Franck Cappello.

Z-checker: A Framework for Assessing Lossy Compression of Scientific Data.

The International Journal of High Performance Computing Applications, 33(2), 285-303. [ Paper ] [ GitHub ]

IEEE TPDS

top journal, impact factor: 4.181

Sheng Di, Dingwen Tao, Xin Liang, and Franck Cappello.

Efficient Lossy Compression for Scientific Data based on Pointwise Relative Error Bound.

IEEE Transactions on Parallel and Distributed Systems, 30(2), 331-345. [ Paper ]

ACM/IEEE SC'19

top-cs, top-cr

Xin Liang, Sheng Di, Sihuan Li, Dingwen Tao, Bogdan Nicolae, Zizhong Chen, and Franck Cappello.
Significantly Improving Lossy Compression Quality based on An Optimized Hybrid Prediction Model.

Proceedings of the 31st ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, Denver, Colorado, USA, Nov 17-22, 2019. Acceptance Rate: 22% (78/344) [ Paper ]

ACM ICS'19

top-cs, top-cr

Jieyang Chen, Nan Xiong, Xin Liang, Dingwen Tao, Sihuan Li, Kaiming Ouyang, Kai Zhao, Nathan DeBardeleben, Qiang Guan, and Zizhong Chen.

TSM2: Optimizing Tall-and-Skinny Matrix-Matrix Multiplication on GPUs.

Proceedings of the 33rd ACM International Conference on Supercomputing, Phoenix, AZ, USA, June 26-28, 2019. Acceptance Rate: 23% (45/193) [ Paper ] [ Slides ] [ GitHub ]

IEEE BIGDATA'19

Donglin Yang, Wei Rang, Dazhao Cheng, Yu Wang, Jiannan Tian, and Dingwen Tao

Elastic Executor Provisioning for Iterative Workloads on Apache Spark.

Proceedings of 2019 IEEE International Conference on Big Data, Los Angeles, CA, USA, December 9-12, 2019. Acceptance Rate: 19% (106/550). [ Paper ]

IEEE BIGDATA'19

Yuqi Fu, Shaolun Zhang, Jose Terrero, Ying Mao, Guangya Liu, Sheng Li, and Dingwen Tao

Progress-based Container Scheduling for Short-lived Applications in a Kubernetes Cluster.

Proceedings of 2019 IEEE International Conference on Big Data, Los Angeles, CA, USA, December 9-12, 2019. Acceptance Rate: 19% (106/550). [ Paper ]

IEEE CLUSTER'19

top-cr

Xin Liang, Sheng Di, Dingwen Tao, Sihuan Li, Bogdan Nicolae, Zizhong Chen, and Franck Cappello.

Improving Performance of Data Dumping with Lossy Compression for Scientific Simulation.

Proceedings of the 2019 IEEE International Conference on Cluster Computing, Albuquerque, New Mexico USA, September 23-26, 2019. Acceptance Rate: 27% (39/141) [ Paper ]

IEEE BIGDATA'18

Xin Liang, Sheng Di, Dingwen Tao, Sihuan Li, Shaomeng Li, Hanqi Guo, Zizhong Chen, and Franck Cappello.

Error-Controlled Lossy Compression Optimized for High Compression Ratios of Scientific Datasets.

Proceedings of the 2018 IEEE International Conference on Big Data, Seattle, WA, USA, December 10-13, 2018. Acceptance Rate: 18% (98/518) [ Paper ] [ Slides ]

IEEE CLUSTER'18

top-cr

Ali Murat Gok, Sheng Di, Yuri Alexeev, Dingwen Tao, Vladimir Mironov, Xin Liang, and Franck Cappello.

PaSTRI: Error-Bounded Lossy Compression for Two-Electron Integrals in Quantum Chemistry.

Proceedings of the 2018 IEEE International Conference on Cluster Computing, Belfast, UK, September 10-13, 2018. Acceptance Rate: 0.6% (1/164) [ Paper ] [ Slides ]

Best Paper Award

IEEE CLUSTER'18

top-cr

Xin Liang, Sheng Di, Dingwen Tao, Zizhong Chen, and Franck Cappello.

An Efficient Transformation Scheme for Lossy Data Compression with Point-wise Relative Error Bound.

Proceedings of the 2018 IEEE International Conference on Cluster Computing, Belfast, UK, September 10-13, 2018. Acceptance Rate: 2% (4/154) [ Paper ] [ Slides ]

Best Paper Award in Data, Storage, Visualization Area

IEEE CLUSTER'18

top-cr

Dingwen Tao, Sheng Di, Xin Liang, Zizhong Chen, and Franck Cappello.

Fixed-PSNR Lossy Compression for Scientific Data.

Proceedings of the 2018 IEEE International Conference on Cluster Computing, Belfast, UK, September 10-13, 2018. Acceptance Rate: 31% (49/154) [ Paper ] [ Slides ]

PRIOR TO UA

ACM HPDC'18

top-cs, top-cr

Dingwen Tao, Sheng Di, Xin Liang, Zizhong Chen, and Franck Cappello.

Improving Performance of Iterative Methods by Lossy Checkpointing.

Proceedings of the 27th ACM International Symposium on High-Performance Parallel and Distributed Computing, Tempe, AZ, USA, June 11-15, 2018. Acceptance Rate: 19% (22/112) [ Paper ][ Slides ]

IEEE BIGDATA'17

Dingwen Tao, Sheng Di, Zizhong Chen, and Franck Cappello.

In-Depth Exploration of Single-Snapshot Lossy Compression Techniques for N-Body Simulations.

Proceedings of the 2017 IEEE International Conference on Big Data, Boston, MA, USA, December 11-14, 2017. Acceptance Rate: 19% (87/437) [ Paper ] [ Slides ]

IEEE IPDPS'17

top-cr

Dingwen Tao, Sheng Di, Zizhong Chen, and Franck Cappello.

Significantly Improving Lossy Compression for Scientific Data Sets Based on Multidimensional Prediction and Error-Controlled Quantization.

Proceedings of the 31st IEEE International Parallel and Distributed Processing Symposium, Orlando, Florida, USA, May 29-June 2, 2017. Acceptance Rate: 22% (116/508). [ Paper ] [ Slides ] [ GitHub ]

ACM HPDC'16

top-cs, top-cr

Dingwen Tao, Shuaiwen Leon Song, Sriram Krishnamoorthy, Panruo Wu, Xin Liang, Zheng Eddy Zhang, Darren Kerbyson, and Zizhong Chen.

New-Sum: A Novel Online ABFT Scheme for General Iterative Methods.

Proceedings of the 25th ACM International Symposium on High-Performance Parallel and Distributed Computing, Kyoto, JAPAN, May 31-June 4, 2016. Acceptance Rate: 15% (20/129). [ Paper ] [ Slides ]

 

SERVICES

ORGANIZATION COMMITTEE

  • Program Co-chair of 2021 IEEE International Conference on Scalable Computing & Communications (ScalCom)

  • Program Co-chair of the 1st International Workshop on Big Data Reduction (IWBDR) held with IEEE BigData 2020

  • Program Co-chair of the 2nd International Workshop on Big Data Analytics of Cyber-Physical Systems (CPSBigData) held with IEEE IGSC 2020

  • Program Co-chair of the 1st International Workshop on Big Data Analytics of Cyber-Physical Systems (CPSBigData) held with IEEE IGSC 2019

TECHNICAL PROGRAM COMMITTEE

  • IEEE IPDPS 2021, IEEE Cluster 2021

  • IEEE/ACM SC 2020, IEEE Cluster 2020, IEEE Big Data 2020, ICPP 2020, IFIP NPC 2020, IEEE SCC 2020

  • IEEE HiPC 2019, IFIP NPC 2019, IEEE BigData Congress 2019, IEEE SCC 2019

  • IEEE HiPC 2018, IFIP NPC 2018, IEEE BigData Congress 2018, IEEE eScience 2018

JOURNAL REVIEWER

IEEE Transactions on Computers, IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Cloud Computing, IEEE Transactions on Big Data, IEEE Transactions on Smart Grid, IEEE Transactions on Emerging Topics in Computing, IEEE Access, SIAM Journal on Scientific Computing, Scientific Programming, Parallel Computing, Journal of Systems Architecture, Integration the VLSI Journal

 

COURSES

GRADUATE COURSE

CS 570: Computer Algorithms, Fall 2019 (UA)
CS 591: High Performance Computing, Spring 2019 (UA)
CS 211: "High Performance Computing", Fall 2014, Fall 2015 & Fall 2016 (UCR)

UNDERGRADUATE COURSE

CS/EE 233: Advanced Data Structures, Spring 2021 (WSU)

CS/EE 455: Introduction to Computer Networks, Fall 2020 (WSU)

CS 470: Computer Algorithms, Fall 2019 (UA)

CS 491: High Performance Computing, Spring 2019 (UA)
CS 012: "Intro to CS for SCI, MATH & ENGR II", Winter 2015 (UCR)

CS 008: "Introduction to Computing", Fall 2014 (UCR)

CS 006: "Effective Use of the World Wide Web", Fall 2014 (UCR)

 

WELCOME TO VISIT!

 
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©2019 by Dingwen Tao