software projects  skills  papers  awards  interests  committees  reviewers  activities

Summary ________________________________

  • Dr. Sheng Di is a computer scientist at Argonne National Laboratory, USA. He is an IEEE senior member. He is a scientist at Large through the Consortium for Advanced Science and Engineering (CASE) at the University of Chicago. He is an institute fellow of Northwestern-Argonne Institute of Science and Engineering (NAISE). He is the receipient of 2018 IEEE Chicago Section Distinguished Mentoring Award and 2019 IEEE Chicago Section Distinguished Research and Development Award.

  • Dr. Di received his Ph.d degree from department of computer science, The University of Hong Kong, in 2011/2012, and received his Master/MPhil degree from department of computer science, Huazhong University of Science and Technology (HUST), in 2007.

  • He has over 10-year experience in developing huge projects related to cloud, grid, and P2P, with java and C programs. His experience in several disciplines includes strong theoretical analysis, system design, system development and module testing.

  • He is currently involved in 6 important projects at Argonne National Laboratory, Lemont, USA.
    He was a key developer in CLOUDS@Home project, and key researcher at MESCAL group of INRIA. He was a team leader on a project (GPE4CGSP) in disciplines of analysis, design and deployment for Integrating Information Center of GPE with CGSP, and in HKU-Grid Point (a sub-project of China 863 project).

  • His publications appeared in: IEEE/ACM SC'XY, IEEE IPDPS, IEEE DSN, IEEE MSST, ACM PPoPP, ACM HPDC, IEEE/ACM PACT, IEEE TPDS, IEEE TC, IEEE TCC, IEEE TKDE, JPDC, IJHPCA, IEEE/ACM IWQoS, IEEE ICPP, IEEE CLUSTER, IEEE/ACM CCGrid, ACM HiPC, IEEE/ACM Grid, IEEE CLOUD, IEEE ICPADS, Europar, etc.

Softwares Developed______________________

  • SZ Lossy Data Compressor (Main developer): https://collab.cels.anl.gov/display/ESR/SZ

  • AID (Unique developer): Adaptive Impact-driven Detector for SDC: http://collab.cels.anl.gov/display/ESR/AID

  • Z-checker (Main developer): Exascale Scientific Data Analysis Library with Lossy Compression: https://github.com/CODARcode/Z-checker

  • GloudSim (Unique developer):  Google data based Cloud Simulator : github.com/nThanksForAllTheFish/gloudsim

  • Fault Tolerant Interface (Co-developer): https://github.com/leobago/fti

  • HPC log data analysis tool - LogAider (Main developer): https://github.com/disheng222/LogAider

  • H5Z-SZ (Unique developer): the filter of SZ for HDF5: https://github.com/disheng222/H5Z-SZ

  • PnetCDF-SZ (Co-developer): a utility tool to compress/decompress netCDF file by SZ using PnetCDF: https://github.com/Parallel-NetCDF/PnetCDF-SZ

Key Projects _____________________________

  • ECP Sky, 2016-2019: Our work in this project aims at exploring a set of very efficient compression techniques for Cosmology simulation.

  • ECP Codar, 2016-2023: Our work in this collaboration project aims at exploring the characteristics of the data regarding data compression as well as lossy compression quality of different compressors for different scientific applications/datasets. For details, please read my papers published in IJHPCA17 and IJHPCA19.

  • DOE Catalog Project, 2015-2019: In-depth characterization and analysis of the errors, failures and faults for large-scale (or exascale) supercomputing environment. For details, please read my papers published in CCGrid17, TPDS18, DSN19, etc.

  • ECP VeloC, 2016-2019: Our work in this collaboration project aims at providing a very flexible checkpoint/restart interface for scientific users, by integrating the advantages of two successful multi-level checkpoint libraries, FTI and SCR. Another objective is to enable the checkpoint/restart operations to adapt to different features of I/O environments (such as burst buffer) or file systems.

  • ECP EZ, 2016-2019: EZ project aims to develop a very effective, efficient, generic lossy compressor for significantly reducing the scientific data for scientists.

  • ALETHEIA, 2016-2020: A framework for automatic detection/correction of corruptions in extreme scale scientific executions. For details, please read my papers published in SC19 and more.

  • PARIS: Data-knowledge based Extreme-Scale Resilience, 2013-2016:  This project, refered to PARIS, explores fundamental properties of numerical science applications to improve the resilience of extreme-scale executions and to provide efficient solutions to system failures and silent data corruptions (SDCs). For details, please read my papers published in SC14, IPDPS14, IPDPS15, and TPDS16.

  • AMFT Project, 2012-2015: The AMFT prototype (GENCI/INRIA, BSC, and GENCI/CINES) exploits new check-pointing technologies (Fault Tolerant Interface [FTI] and Multilevel Fault Tolerance [MFT]) in combination with different storage levels and technologies, in the context of resilience of HPC. It also aims to detect and correct silent data corruptions for HPC applications. Please read my papers published in CCGrid15, SC13, SC14, ICPP13, HiPC13, IPDPS14 for details.

  • Predicting Idleness in Data Centers, 2012 - 2013: This project, a Google Research Award, aims to model and predict workload/hostload for Google data centers, also aiming to improve system performance. Please read my papers published in CLUSTER12, SC12, and SC13.

  • Cloud@HOME, 2012 - 2013: It is funded by the national French science foundation (called ANR) for running complex services over unreliable (Internet) resources, maximizing resource utilization and Quality of Service (QoS). My contribution is optimizing and stabilizing a best-suited queuing policy and a virtual resource allocation scheme. The prototype implemented is leveraging ParallelColt matrix-computation library and the resource isolation technology by XEN 4.0. Please read my papers in IEEE TC , IEEE IWQoS2013, HiPC13, and CLOUD2013 for details.

  • Desktop Cloud / Self-organizing Cloud, 2010-2011: This project is supported by Hong Kong RGC grant HKU 7179/09E and HKU Basic Research grant (Grant No. 10401460), and also in part by Hong Kong UGC Special Equipment Grant (SEG HKU09). My contribution is developing a set of core optimization algorithms - optimal resource allocation with fully distributed resource discovery protocols. Please read my TPDS2012, JPDC2012, ICPP2011, UCC2011 papers for details.

  • CNGrid, 2007-2011: This project is a key national project under the High-Tech R&D Program (China-863 program) in China. I am mainly in charge of the construction and development of HKU-Grid Point, one of the key Grid points along with other nine ones. The research contribution includes two papers, which are published in ICPP2010 and the Journal of Huazhong University of Science and Technology 2011 respectively.

  • SemREX, 2006-2008: This project is funded by China-973 Project of National Basic Research and Development Plan. My major contribution is co-designing and co-developing the relationship-searching engine, coauthoring a paper which was awarded as best-paper in IEEE ICDS2008.

  • CGSV(ChinaGrid SuperVision, sponsored by HP) designer and developer, 2005-2006: ChinaGrid SuperVison (CGSV) is sponsored by HP Inc. It is a key monitoring-software that provide real-time monitoring support for ChinaGrid. My major contribution is taking part in designing its whole architecture, developing Graphic User Interface and Archive module independently, and developing Registry and Windows Sensor cooperatively. Please read my PAKDD2007 and APCC2007 papers for more information.

  • GPE4CGSP(Sponsored by Intel) developer, 2006:The goal of this project is to integrate two well-known grid platforms: ChinaGrid/CGSP and UNICORE/GPE. My major contribution is analyzing the code of GPE and developing a middleware to integrate the Information Center of CGSP and that of GPE, supported by a GUI as well. Please read my AINAW2007 paper for more information.

  • CGSP(ChinaGrid Supported Platform) developer, 2005-2006: CGSP, the biggest grid project in China, is sponsored by Ministry of Education. It is designed and developed by about forty developers from twelve top-ranking universities in China. My major contribution is making a GUI to display its key information, such as jobs, applications, services and so on, and providing web service interfaces with Geo-Information System (GIS) support and security support. More information could be found in my LNCS CDVE2007 paper.

  • CoGIS, 2004-2005: My major contribution is integrating it with a distributed monitoring system (namely GlobalWatch system) and installing/administering many different Grid softwares like Globus, GridFTP, and improving a Dynamic Replica Transmission platform. Detailed information could be found in my patent NO. 200610125570.9.

  • GlobalWatch (A distributed monitoring platform) designer and developer,2004-2005: GlobalWatch is a distributed monitoring system used to monitor grid platforms. My contribution is developing the server and client software with another developer. We develop the server with Servlet technology and the sensor (Web Service) with WebService Application Server (WAS). Please read my APSCC2007 paper for details.

Technical Bachground _____________________

  • Programming Languages: Java, C, C++, Fortran, Python, bash, MPI, OpenMP, Prolog, JavaScript, JSP

  • High Layer Technology: GIS (ArcGIS, OpenMap) / GUI

  • Programming Environment: IDE (Eclipse, Idea IDE, JBuilder), Geany

  • Tools: automake, Makefile, ant, XML, XSL, HTML, SQL, Doc book, LaTEX

  • Platform: J2EE

  • OS: Unix and Linux (Kernel and Administration)

  • DBMS: MySQL, Oracle

  • Network Communication: Socket, RMI, Web Service(Axis, Muse, globus), Matlab Web Server, etc.

  • Others: OpenPBS, Design Pattern, UML, Visio, VMWare, XEN

Publications ______________________________


    -----2020-----
  1. Kai Zhao, Sheng Di, Xin Liang, Sihuan Li, Dingwen Tao, Julie Bessac, Zizhong Chen, Franck Cappello, "SDRBench: Scientific Data Reduction Benchmarkfor Lossy Compressors", International Workshop on Big Data Reduction (IEEE IWBDR20) in conjunction with 2020 IEEE International Conference on Big Data (IEEE BigData20), 2020.

  2. Kai Zhao, Sheng Di, Sihuan Li, Xin Liang, Yujia Zhai, Jieyang Chen, Kaiming Ouyang, Franck Cappello and Zizhong Chen, "FT-CNN: Algorithm-Based Fault Tolerance for Convolutional Neural Networks", IEEE Transactions on Parallel and Distributed Systems (IEEE TPDS) Special Section on Parallel and Distributed Computing Techniques for AI, ML and DL (TPDS-SS-AI 2020), 2020.

  3. 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 International Conference on Parallel Architectures and Compilation Techniques (PACT'20), Atlanta, GA, USA, October 3 - 7, 2020.

  4. Sihuan Li, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen and Franck Cappello, "Towards End-to-end SDC Detection for HPC Applications Equipped with Lossy Compression", in IEEE CLUSTER2020, 2020.

  5. Franck Cappello, Sheng Di, Ali M. Gok, "Fulfilling the Promises of Lossy Compression forScientific Applications", Smoky Mountain Computational Science and Engineering Conference (SMC2020), USA, Aug. 25-27, 2020.

  6. Hao Fan, Song Wu, Xinyu Zhao, Zhenjiang Xie, Sheng Di, Jiang Xiao, Chen Yu, Hai Jin, "Accelerating Parallel Applications in Cloud Platforms via Adaptive Time-Slice Control", IEEE Transactions on Computers (IEEE TC), 2020.

  7. 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", 29th International Symposium on High-Performance Parallel and Distributed Computing (ACM HPDC20), 2020.

  8. 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 (IEEE TPDS), 2020.

  9. Xin Liang, Hanqi Guo, Sheng Di, Franck Cappello, Mukund Raj, Chunhui Liu, Kenji Ono, Zizhong Chen and Tom Peterka, "Towards Feature Preserving 2D and 3D Vector Field Compression", in the 13rd IEEE Pacific Visualization Symposium (IEEE PacificVis2020), Tianjin, China, Apr 14-17, 2020.

  10. 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 (ACM PPoPP2020), San Diego, California, USA, February 22-26, 2020.

  11. Robert Underwood, Sheng Di, Jon Calhoun, Franck Cappello, "FRaZ: A Generic High-Fidelity Fixed-Ratio Lossy Compression Framework for Scientific Floating-point Data", in Proceedings of the 34th IEEE International Parallel and Distributed Symposium (IEEE IPDPS2020), New Orleans, LA, May 18-22, 2020.


  12. -----2019-----
  13. Tasmia Reza, Kristopher Keipert, Sheng Di, Xin Liang, Jon C. Calhoun, Franck Cappello, "Analyzing the Performance and Accuracy of LossyCheckpointing on Sub-iteration of NWChem", in Proceedings of the 5th International Workshop on Data Reduction for Big Scientific Data (DRBSD-5), in conjunction with IEEE/ACM 29th The International Conference for High Performance computing, Networking, Storage and Analysis (IEEE/ACM SC2019).

  14. Franck Cappello, Sheng Di, Sihuan Li, Xin Liang, Ali M. Gok, Dingwen Tao, Chun Hong Yoon , Xin-Chuan Wu, Yuri Alexeev, Federic T. Chong, "Use cases of lossy compression for floating-point data in scientific datasets", in The International Journal of High Performance Computing Applications (IJHPCA), 2019.

  15. 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", in IEEE CLUSTER2019, 2019.

  16. Xin-Chuan Wu, Sheng Di, Emma Maitreyee Dasgupta, Franck Cappello, Yuri Alexeev, Hal Finkel, Frederic T. Chong, "Full State Quantum Circuit Simulation by Using Data Compression", in IEEE/ACM 30th The International Conference for High Performance computing, Networking, Storage and Analysis (IEEE/ACM SC2019), 2019.

  17. 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", in IEEE/ACM 30th The International Conference for High Performance computing, Networking, Storage and Analysis (IEEE/ACM SC2019), 2019.

  18. Sihuan Li, Hongbo Li, Xin Liang, Jieyang Chen, Elizabeth Giem, Kaiming Ouyang, Kai Zhao, Sheng Di, Franck Cappello, and Zizhong Chen, "FT-iSort: Efficient Fault Tolerance for Introsort", in IEEE/ACM 30th The International Conference for High Performance computing, Networking, Storage and Analysis (IEEE/ACM SC2019), 2019.

  19. Sian Jin, Sheng Di, Xin Liang, Jiannan Tian, Dingwen Tao, 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 (ACM HPDC19), Phoenix, AZ, USA, June 24 - 28, 2019.

  20. Sheng Di, Hanqi Guo, Eric Pershey, Marc Snir, Franck Cappello, "Characterizing and Understanding HPC Job Failures over The 2K-day Life of IBM BlueGene/Q System", IEEE/IFIP 49th International Conference on Dependable Systems and Networks (IEEE DSN19), Portland, USA, 2019.

  21. XiangYu Zou, Tao Lu, Sheng Di, Dingwen Tao, Wen Xia, Xuan Wang, Weizhe Zhang, Qing Liao, "Accelerating Lossy Compression on HPC datasets via Partitioning Computation for Parallel Processing", in The 21st IEEE International Conference on High Performance Computing and Communications (IEEE HPCC19), 2019.

  22. XiangYu Zou, Tao Lu, Wen Xia, Xuan Wang, Weizhe Zhang, Sheng Di, Dingwen Tao, Franck Cappello, "Accelerating Relative-error Bounded Lossy Compression for HPC datasets with Precomputation-Based Mechanisms", in Proceedings of the 35th International Conference on Massive Storage Systems and Technology (IEEE MSST19), 2019.


    -----2018-----
  23. Dingwen Tao, Sheng Di, Xin Liang, Zizhong Chen, Franck Cappello, "Optimizing Lossy Compression Rate-Distortion from Automatic Online Selection between SZ and ZFP", in IEEE Transactions on Parallel and Distributed Systems (IEEE TPDS), 2019.

  24. 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", in IEEE Bigdata2018, 2018.

  25. Sihuan Li, Sheng Di, Xin Liang, Zizhong Chen, Franck Cappello, "Optimizing Lossy Compression with Adjacent Snapshots for N-body Simulation", in IEEE Bigdata2018, 2018.

  26. Xin Liang, Sheng Di, Dingwen Tao, Sihuan Li, Zizhong Chen, Franck Cappello, "Improving In-situ Lossy Compression with Spatio-Temporal Decimation based on SZ Model", in Proceedings of the 4th International Workshop on Data Reduction for Big Scientific Data (DRBSD-4), in conjunction with IEEE/ACM 29th The International Conference for High Performance computing, Networking, Storage and Analysis (IEEE/ACM SC2018).

  27. Xin-Chuan Wu, Sheng Di, Franck Cappello, Hal Finkel, Yuri Alexeev , Frederic T. Chong, "Memory-Efficient Quantum Circuit Simulation by Using Lossy Data Compression", The 3rd International Workshop on Post-Moore Era Supercomputing (PME) in conjunction with IEEE/ACM 29th The International Conference for High Performance computing, Networking, Storage and Analysis IEEE/ACM SC2018).

  28. Xin-Chuan Wu, Sheng Di, Franck Cappello, Hal Finkel, Yuri Alexeev, Frederic T. Chong, "Amplitude-Aware Lossy Compression for Quantum Circuit Simulation", in Proceedings of the 4th International Workshop on Data Reduction for Big Scientific Data (DRBSD-4), in conjunction with IEEE/ACM 29th The International Conference for High Performance computing, Networking, Storage and Analysis (IEEE/ACM SC2018).

  29. Sihuan Li, Sheng Di, Xin Liang, Zizhong Chen, Franck Cappello, "Improving Error-bounded Compression for Cosmological Simulation", in IEEE/ACM 29th The International Conference for High Performance computing, Networking, Storage and Analysis (IEEE/ACM SC2018). [poster]

  30. Xin-Chuan Wu, Sheng Di, Franck Cappello, Hal Finkel, Yuri Alexeev, Frederic T. Chong, "Full State Quantum Circuits Simulation by Using Data Compression", in IEEE/ACM 29th The International Conference for High Performance computing, Networking, Storage and Analysis (IEEE/ACM SC2018). [poster]

  31. Wenbin He, Hanqi Guo, Tom Peterka, Sheng Di, Franck Cappello, Han-Wei Shen, "Parallel Partial Reduction for Large-Scale Data Analysis and Visualization," in The 8th IEEE Symposium on Large Data Analysis and Visualization (IEEE LDAV) in conjunction with IEEE VIS 2018, Berlin, Germany, October 21, 2018.(best paper nominated)

  32. Sheng Di, Hanqi Guo, Rinku Gupta, Eric Pershey, Marc Snir, Franck Cappello, "Exploring Properties and Correlations of Fatal Events in a Large-Scale HPC System," in IEEE Transactions on Parallel and Distributed Systems (IEEE TPDS), 2018.

  33. Dingwen Tao, Sheng Di, Xin Liang, Zizhong Chen, Franck Cappello, "Fixed-PSNR Lossy Compression for Scientific Data", in IEEE CLUSTER 2018.

  34. Xin Liang, Sheng Di, Dingwen Tao, Zizhong Chen, Franck Cappello, "Efficient Transformation Scheme for Lossy Data Compression with Point-wise Relative Error Bound", in IEEE CLUSTER 2018. (best paper)

  35. Ali Murat Gok, Sheng Di, Yuri Alexeev, Dingwen Tao, Vladimir Mironov, Franck Cappello, "PaSTRI: Error-bounded Lossy Compression for Two-Electron Integrals in Quantum Chemistry", in IEEE CLUSTER 2018, 2018. (best paper)

  36. Sheng Di, Dingwen Tao, Xin Liang, Franck Cappello, "Efficient Lossy Compression for Scientific Data based on Pointwise Relative Error Bound", in IEEE Transactions on Parallel and Distributed Systems (IEEE TPDS), 2018.

  37. Hanqi Guo, Sheng Di, Rinku Gupta, Tom Peterka, Franck Cappello, "La VALSE: Scalable Visual Analysis of Logs for Fault Characterization on Supercomputers", in EG Symposium on Parallel Graphics and Visualization (ECPGV2018), 2018.

  38. Dingwen Tao, Sheng Di, Xin Liang, Zizhong Chen and Franck Cappello, "Improving performance of iterative methods by lossy checkponting", in 27th ACM Symposium on High-Performance Parallel and Distributed Computing (ACM HPDC2018), 2018.

  39. Jong Youl Choi, Choong-Seock Chang, Julien Dominski, Scott Klasky, Gabriele Merlo, Eric Suchyta, Mark Ainsworth, Bryce Allen, Franck Cappello, Michael Churchill, Philip Davis, Sheng Di, Greg Eisenhauer, Stephane Ethier, Ian Foster, Berk Geveci, Hanqi Guo, Kevin Huck, Frank Jenko, Mark Kim, James Kress, Seung-Hoe Ku, Qing Liu, Jeremy Logan, Allen Malony, Kshitij Mehta, Kenneth Moreland, Todd Munson, Manish Parashar, Tom Peterka, Norbert Podhorszki, Dave Pugmire, Ozan Tugluk, Ruonan Wang, Ben Whitney, Matthew Wolf, and Chad Wood, "Coupling Exascale Multiphysics Applications: Methods and Lessons Learned",
    In Proceedings of IEEE International Conference on
    eScience 2018, Amsterdam, Netherlands, October 29--November 1, 2018.

  40. Xinhou Wang, Kezhi Wang, Song Wu, Sheng Di, Hai Jin, Kun Yang, Shumao Ou, "Dynamic Resource Scheduling in Mobile Edge Cloud with Cloud Radio Access Network", in IEEE Transactions on Parallel and Distributed Systems (IEEE TPDS), 2018.


  41. -----2017-----
  42. 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 (BigData2017), Boston, MA, USA, December 11 - 14, 2017.

  43. Omer Subasi, Sheng Di, Leonardo Bautista-Gomez, Prasanna Balaprakash, Osman Unsal, Jesus Labarta, Adrian Cristal, Sriram Krishnamoorthy, Franck Cappello, "Exploring The Capabilities of Support Vector Machines in Detecting Silent Data Corruptions", in Journal of Sustainable Computing, Informatics and Systems (SUSCOM), 2017.

  44. Omer Subasi, Sheng Di, Leonardo Bautista-Gomez, Prasanna Balaprakash, Osman Unsal, Jesus Labarta, Adrian Cristal, Franck Cappello, "MACORD: Online Adaptive Learning Framework for Silent Error Detection", in International Workshop of Fault Tolerant Systems (FTS17), in conjunction with the IEEE International Conference on Cluster Computing (Cluster 2017), 2017.

  45. Sheng Di, Dingwen Tao, Franck Cappello, "An Efficient Approach to Loss Compression with Point-wise Relative Error Bound", under review by Proceedings of the 2nd International Workshop on Data Reduction for Big Scientific Data (DRBSD-2) in conjunction with IEEE/ACM 29th The International Conference for High Performance computing, Networking, Storage and Analysis (IEEE/ACM SC2017), 2017.

  46. Ali Murat Gok, Dingwen Tao, Sheng Di, Vladimir Mironov, Yuri Alexeev, Franck Cappello, "PaSTRI: A Novel Data Compression Algorithm for Two-Electron Integrals in Quantum Chemistry", in IEEE/ACM 29th The International Conference for High Performance computing, Networking, Storage and Analysis (IEEE/ACM SC2017). [poster]

  47. Dingwen Tao, Sheng Di, Hanqi Guo, Zizhong Chen, and Franck Cappello, "Z-checker: A Framework for Assessing Lossy Compression of Scientific Data", in The International Journal of High Performance Computing Applications (IJHPCA), 2017.

  48. Sheng Di, Franck Cappello, "Optimization of Error-Bounded Lossy Compression for Hard-to-Compress HPC Data," in IEEE Transactions on Parallel and Distributed Systems (IEEE TPDS), 2017.

  49. Eduardo Berrocal, Leonardo Bautista-Gomez, Sheng Di, Zhiling Lan, and Franck Cappello, "Toward General Software Level Silent Data Corruption Detection for Parallel Applications, " in IEEE Transactions on Parallel and Distributed Systems (IEEE TPDS), 2017.

  50. Franck Cappello, Rinku Gupta, Sheng Di, Emil Constantinescu, Thomas Peterka, and Stefan M. Wild, "Understanding and improving the trust in results of numerical simulations and scientific data analytics", in 10th workshop on resilience in high performance computing (resilience) in Clusters, Clouds and Grids, in the conjunction with 23rd International European Conference on Parallel and Distributed Computing (Euro-Par), 2017.

  51. Ian T. Foster, Mark Ainsworth, Bryce Allen, Julie Bessac, Franck Cappello, Jong Youl Choi, Emil M. Constantinescu, Philip E. Davis, Sheng Di, et al., "Computing Just What You Need: Online Data Analysis and Reduction at Extreme Scales", in 23rd International European Conference on Parallel and Distributed Computing (Euro-Par 2017), 2017. pp. 3-19.

  52. Dingwen Tao, Sheng Di, Zizhong Chen, and Franck Capello, "Exploration of Pattern-Matching Techniques for Lossy Compression on Cosmology Simulation Data Sets ", Proceedings of the 1st International Workshop on Data Reduction for Big Scientific Data (DRBSD1) in Conjunction with , Frankfurt, Germany, June 22, 2017.

  53. Dingwen Tao, Sheng Di, Hanqi Guo, Zizhong Chen, Franck Cappello, "Towards Efficient Error-controlled Lossy Compression for Scientific Data", in Greater Chicago Area Systems Research Workshop (GCASR2917), 2017, download.

  54. Sheng Di, Rinku Gupta, Eric Pershey, Marc Snir, Franck Cappello, "LogAider: A tool for mining potential correlations in HPC Log Events, " in IEEE/ACM 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (ACM CCGrid2017), Spain, 2017.

  55. Xinhou Wang, Song Wu, Kezhi Wang, Sheng Di, Hai Jin, Kun Yang and Shumao Ou, "Maximizing the Profit of Cloud Broker with Priority Aware Pricing",  in 23rd IEEE International Conference on Parallel and Distributed Systems (ICPADS17), 2017.

  56. Dingwen Tao, Sheng Di, Franck Cappello, "Significantly Improving Lossy Compression for Scientific Data Sets Based on Multidimensional Prediction and Error-Controlled Quantization, " in International Parallel and Distributed Processing Symposium (IEEE/ACM IPDPS 2017), Orlando, Florida, 2017.

  57. Xuanhua Shi, Junling Liang, Xuan Luo, Peng Zhao, Sheng Di, Bingsheng He, Hai Jin, "Frog: Asynchronous Graph Processing on GPU with Hybrid Coloring Model," in IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2017.


  58. -----2016-----
  59. Eduardo Berrocal, Leonardo Bautista Gomez, Sheng Di, Zhiling Lan and Franck Cappello, "Exploring Partial Replication to Improve Lightweight Silent Data Corruption Detection for HPC Applications, " 22th International European Conference on Parallel and Distributed Computing (Europar16), 2016.

  60. Song Wu, Yihong Wang, Wei Luo, Sheng Di, Haibao Chen, Xiaolin Xu, Hai Jin, and Ran Zheng, "ACStor: Optimizing Access Performance of Virtual Disk Images in Clouds," in Transactions on Parallel and Distributed Systems (IEEE TPDS), 2016.

  61. Sheng Di, Yves Robert, Frederic Vivien, and Franck Cappello, "Toward an Optimal Online Checkpoint Solution under a Two-Level HPC Checkpoint Model, " in IEEE Transactions on Parallel and Distributed Computing (IEEE TPDS), 2016.

  62. Omer Subasi, Sheng Di, Leonardo Bautista-Gomez, Prasanna Balaprakash, Osman Unsal, Jesus Labarta, Adrian Cristal and Franck Cappello, "Spatial Support Vector Regression to Detect Silent Errors in the Exascale Era, " in IEEE/ACM Cluster, Cloud and Grid Computing (ACM CCGrid 2016), 2016.

  63. Sheng Di, Franck Cappello, "Adaptive-Impact Driven Detection of Silent Data Corruption for HPC Applications, " in IEEE Transactions on Parallel and Distributed Computing (IEEE TPDS), 2016. Errata: In the paper, there is a typo in the Algorithm 1 (line 5 and line 7): Gamma={PM_j -  varepsilon_j<theta * r } should be Gamma={PM_j | varepsilon_j<theta * r }. The corrected version can be downloaded from here.

  64. Sheng Di, Franck Cappello, "Fast Error-bounded Lossy HPC Data Compression with SZ," in International Parallel and Distributed Processing Symposium (IEEE/ACM IPDPS 2016), 2016.

  65. Song Wu, Zhenjiang Xie, Haibao Chen, Sheng Di, Xinyu Zhao, Hai Jin, "Dynamic Acceleration of Parallel Applications in Cloud Platforms by Adaptive Time-Slice Control," in International Parallel and Distributed Processing Symposium (IEEE/ACM IPDPS 2016), 2016.

  66. Xinhou Wang, Kezhi Wang, Song Wu, Sheng Di, Kun Yang, and Hai Jin, "Dynamic Resource Scheduling in Cloud Radio Access Network with Mobile Cloud Computing," in International Symposium on Quality of Service (IEEE/ACM IWQoS2016), Beijing, China, 2016.


  67. -----2015-----
  68. Eduardo Berrocal, Leonardo Bautista-Gomez, Sheng Di, Zhiling Lan, Franck Cappello, "Lightweight Silent Data Corruption Detection Based on Runtime Data Analysis for HPC Applications, " in 24th International ACM Symposium on High Performance Parallel and Distributed Computing (ACM HPDC2015), 2015, short paper.

  69. Sheng Di, Eduardo Berrocal, and Franck Cappello, "An Efficient Silent Data Corruption Detection Method with Error-feedback Control and Even Sampling for HPC Applications, " in IEEE/ACM 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (ACM CCGrid2015), 2015.

  70. Xuanhua Shi, Junling Liang, Sheng Di, Bingsheng He, Hai Jin, Lu Lu, Zhixiang Wang, Xuan Luo, Jianlong Zhong, "Optimization of Asynchronous Graph Processing on GPU with Hybrid Coloring Model," in 20th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (ACM PPoPP), 2015. [poster].


  71. -----2014-----
  72. Sheng Di, Franck Cappello, "GloudSim: Google Trace based Cloud Simulator with Virtual Machines," in Journal of Software: Practice and Experience (Wiley SPE), 2014.

  73. Sheng Di, Eduardo Berrocal, Leonardo Bautista-Gomez1, Katherine Heisey, Rinku Gupta1, Franck Cappello, "Towards Effective Detection of Silent Data Corruptions for HPC Applications," in IEEE/ACM Proc. of 26th International Conference of SuperComputing (IEEE/ACM SC2014), New Orleans, 2014. [poster]

  74. Song Wu, Haibao Chen, Sheng Di, Bingbing Zhou, Zhenjiang Xie, Hai Jin, Xuanhua Shi, "Synchronization-Aware Scheduling for Virtual Clusters in Cloud," in IEEE Transactions on Parallel and Distributed Systems (IEEE TPDS), 2014.

  75. Xuanhua Shi, Haohong Lin, Hai Jin, Bing Bing Zhou, Zuoning Yin, Sheng Di and Song Wu, "GIRAFFE: A Scalable Distributed Coordination Service for Large-scale Systems," in IEEE Proc. of 16th International Conference on Cluster Computing (IEEE CLUSTER2014), Madrid, Spain, 2014. (best paper nominated)

  76. Sheng Di, Leonardo Bautista-gomez, Franck Cappello, "Optimization of Multi-level Checkpoint Model with Uncertain Execution Scales," in IEEE/ACM Proc. of 26th International Conference of SuperComputing (IEEE/ACM SC2014), New Orleans, 2014.

  77. Hai Jin, Xinhou Wang, Song Wu, Sheng Di, Xuanhua Shi, "Towards Optimized Fine-Grained Pricing of IaaS Platform", in IEEE Transactions on Cloud Computing (IEEE TCC), 2014.

  78. Sheng Di, Derrick Kondo, and Cho-Li Wang, "Optimization of Composite Cloud Service Processing with Virtual Machines," in IEEE Transactions on Computers (IEEE TC), 2014.

  79. Haibao Chen, Song Wu, Zhenjiang Xie, Sheng Di, Bingbing Zhou, Xuanhua Shi, Hai Jin, "Communication-Driven Scheduling for Virtual Clusters in Cloud," in 23rd International ACM Symposium on High Performance Parallel and Distributed Computing (HPDC2014), 2014, short paper.

  80. Sheng Di, Derrick Kondo, and Franck Cappello, "Characterizing and Modeling Cloud Applications/Jobs on a Google Data Center," in Journal of Supercomputing (springer JS), 2014.

  81. Sheng Di, Mohamed S. Bouguerra, Leonardo Bautista-gomez, Franck Cappello, "Optimization of Multi-level Checkpoint Model for Large-scale HPC Applications, " in International Parallel and Distributed Processing Symposium (IEEE/ACM IPDPS 2014), 2014.


  82. -----2013-----
  83. Sheng Di, Cho-Li Wang, Franck Cappello, "Adaptive Algorithm for Minimizing Cloud Task Length with Load Prediction Errors," in IEEE Transactions on Cloud Computing (IEEE TCC Special Issue), 2013.

  84. Sheng Di, Derrick Kondo, and Walfredo Cirne, "Google Hostload Prediction based on Bayesian Model with Optimized Feature Combination," in Journal of Parallel & Distributed Computing (elsevier JPDC), 2013.

  85. Sheng Di, Yves Robert, Frederic Vivien, Derrick Kondo, Cho-Li Wang, Franck Cappello, "Optimization of Cloud Task Processing with Checkpoint-Restart Mechanism", in IEEE/ACM Proc. of 25th International Conference of SuperComputing (IEEE/ACM SC2013), Denver, CO, US, 2013.

  86. Sheng Di, Cho-Li Wang, "Minimization of Cloud Task Execution Length with Workload Prediction Errors," in International Conference on High Performance Computing (IEEE/ACM HiPC 2013), 2013.

  87. Sheng Di, Derrick Kondo, Franck Cappello, "Characterizing Cloud Applications on a Google Data Center," in Proc. of 42th International Conference on Parallel Processing (IEEE ICPP2013), 2013.

  88. Sheng Di, Derrick Kondo, Cho-Li Wang, "Optimization and Stabilization of Composite Service Processing in a Cloud System," in International Symposium on Quality of Service (IEEE/ACM IWQoS2013), Montreal, Canada, 2013.

  89. Sheng Di, Cho-Li Wang, and Derrick Kondo, "Towards Payment-Bound Analysis in Cloud Systems with Task-Prediction Errors," in International Conference on Cloud Computing (IEEE CLOUD2013), Santa Clara Marriott, CA, USA, 2013.

  90. Sheng Di, Cho-Li Wang, and Ling Chen, "Ex-post Efficient Resource Allocation for Self-organizing Cloud," in Journal of Computers and Electrical Engineering (CEE), elsevier, 2013.


  91. -----2012-----
  92. Sheng Di and Cho-Li Wang, "Error-tolerant Resource Allocation and Payment Minimization for Cloud System," IEEE Transactions on Parallel and Distributed Systems (IEEE TPDS Special Issue), 2012.

  93. Sheng Di, Derrick Kondo, Walfredo Cirne, "Host Load Prediction in a Google Compute Cloud with a Bayesian Model," in IEEE/ACM Proc. of 24th International Conference of SuperComputing (IEEE/ACM SC2012), Utah, US, 2012, , .

  94. Sheng Di, Derrick Kondo, Walfredo Cirne, "Characterization and Prediction of Host Load in a Google Data Center," in IEEE Proc. of 14th International Conference on Cluster Computing (IEEE CLUSTER2012), Peking, China, 2012.

  95. Sheng Di and Cho-Li Wang, "Dynamic Optimization of Multi-Attribute Resource Allocation in Self-Organizing Clouds," IEEE Transactions on Parallel and Distributed Systems (IEEE TPDS), 2012.


  96. -----2011-----
  97. Sheng Di and Cho-Li Wang, "Decentralized Proactive Resource Allocation for Maximizing Throughput of P2P Grid", Journal of Parallel & Distributed Computing (JPDC), 2011, doi: 10.1016/j.jpdc.2011.10.010, .

  98. Sheng Di, Cho-Li Wang, Luwei Cheng, Ling Chen, "Socially Optimal Win-win Resource Allocation for Self-Organizing Cloud", in IEEE International Conference on Cloud and Service Computing (IEEE CSC2011), 2011.

  99. Sheng Di, Cho-Li Wang, Weida Zhang, Luwei Cheng, "Probabilistic Best-fit Multi-dimensional Range Query in Self-Organizing Cloud", in Proc. of 40th International Conference on Parallel Processing (IEEE ICPP2011), 2011, pp. 763-772, .

  100. Zheming Xu, Sheng Di, Luwei Cheng, Weida Zhang and Cho-Li Wang, "WAVNet: Wide-Area Network Virtualization for Elastic Cloud Computing", in Proc. of 40th International Conference on Parallel Processing (IEEE ICPP2011), 2011, pp. 285-294, . (best paper nominated)

  101. Luwei Cheng, Cho-Li Wang, Sheng Di, "Defeating Network Jitter for Virtual Machines", "best student paper award" in IEEE/ACM International Conference on Utility and Cloud Computing (IEEE/ACM UCC2011),  2011, . (best student paper award)



  102. -----2010-----
  103. Haoyu Hu, Yinfeng Wang, Cho-Li Wang, Sheng Di, "Sensible Cloud: Cloud based Large-scale Social Intelligence Reasoning", CNGridAnnual2010, Beijing, 2010, (in Chinese), .

  104. Yinfeng Wang, Hao Liu, Sheng Di and Haoyu Hu, "A Parallel Index Mechanism for Large Scale High Dimensional Data", Journal of Huazhong University of Science and Technology (Nature Science Edition), Jun, 2011, 39(1), (in Chinese), .

  105. Sheng Di, Cho-Li Wang, "Dual-Phase Just-in-Time Workflow Scheduling in P2P Grid Systems," in Proc. of 39th International Conference on Parallel Processing (IEEE ICPP2010), 2010, pp.238-247, .

  106. Sheng Di and Cho-Li Wang, "Conflict-minimizing Dynamic Load Balancing for P2P Desktop Grid, in The 11th IEEE/ACM International Conference on Grid Computing (IEEE/ACM Grid2010), Brussels, Belgium, Oct 24-29, 2010, 137-144, .


  107. -----2006~2009-----
  108. Sheng Di, Cho-li Wang, Dexter H. Hu, "Gossip-based Dynamic Load Balancing in Self-organized Desktop Grid", Proc of 10th HPCAsia (27th APAN), 2009, .

  109. Ling Chen, Sheng Di, "RSR-CGSF: A Robust Semantic Resource Based Cooperative Grid Service Framework", 1st International Conference on Information Engineering and Computer Science (IEEE ICIECS 2009), 2009, .

  110. Sheng Di, Cho-li Wang, "Task Scheduling based on Dynamic Critical Task Estimation in P2P Grid Workflow", CNGridAnnual2009, Beijing, 2009, (in Chinese), .

  111. Ling Chen, Hai Jin, Sheng Di, "A Semantic Double-Buffer Based Approach to Enhance Semantic Web Search", in International Conference on the Digital Society (IEEE ICDS2008), pp. 111-116, . (best paper award)

  112. Sheng Di, Hai Jin, Shengli Li, Ling Chen, Li Qi, Chengwei Wang, "Ontology Based Grid Information Interoperation," ainaw, 21st International Conference on Advanced Information Networking and Applications Workshops (IEEE AINAW2007), 2007, pp. 91-96, .

  113. Sheng Di, Hai Jin, Shengli Li, "A Flexible Two-Level Mechanism in Querying and Presenting Large-scale Historical Monitoring Data",  13th Asia-Pacific Conference on Communications (IEEE APCC2007), 2007.

  114. Hai Jin, Chuanjiang Yi, Sheng Di, "A Composite-Service Authorization Prediction Platform for Grid Environment", Cooperative Design, Visualization, and Engineering (LNCS CDVE2007), 2007, pp. 217-22,

  115. Sheng Di, Hai Jin, Shengli Li, Jing Tie, Ling Chen, "Efficient Time Series Data Classification and Compression for Distributed Monitoring", the 2007 International Workshop on High Performance Data Mining and Applications (HPDMA2007, in conjunction with PAKDD2007), pp. 389-400.

  116. Sheng Di, Hai Jin, Shengli Li, Ling Chen, Chengwei Wang, "GlobalWatch: A Distributed Service Grid Monitoring Platform with high flexibility and usability" ,Proc of 1st IEEE Asia-Pacific Services Computing Conference (APSCC2006), 2006, pp. 440-446.  

  117. Hai Jin, Pingpeng Yuan, Li Huang, Feng Mao, Sheng Di, Sheng Sun, Shilun Yuan, Changqin Li, Yanxia Li, Qin Shi: Patent: "Grid Data transmission Platform with high QoS and Multi-replica", NO. 200610125570.9

 Awards received __________________________

  • 2019, IEEE Distinguished Research and Development Award (Chicago Section)

  • 2019, DOE R&D 100 award (in recognition of participating in SCR: Scalable Checkpoint/Restart Framework)

  • 2018, IEEE Distinguished Mentoring Award (Chicago Section), in recognition of mentoring as a scientist in the area of data compression and software development

  • 2018, Overall best paper in IEEE CLUSTER (and one more best paper in Data&Storage Track)

  • 2018, best paper nominated (honorable mention) in LDAV 2018 Symposium

  • 2016, Outstanding Contribution in Reviewing Award for JPDC journal

  • 2014, Best paper nominated in International Conf. on Cluster Computing (IEEE CLUSTER2014)

  • 2011, Best paper nominated in 40th International Conf. on Parallel Processing (IEEE ICPP2011)

  • 2011, Best student paper award in IEEE/ACM UCC2011

  • 2008, Best paper award in International Conference on the Digital Society (ICDS)

  • 2006, Sum public tuition fee scholarship, 2005-2006, Huazhong university of Science and Technology

  • 2006, Triple-A student, 2005-2006, Huazhong university of Science and Technology

  • 2005, First class scholarship, 2004-2005, Huazhong university of Science and Technology (top 10%)

  • 2005, Sum public tuition fee scholarship, 2004-2005, Huazhong university of Science and Technology

  • 2005, First class scholarship, 2004-2005, Huazhong university of Science and Technology

  • 2004, University excellent leader, 2003-2004, South-Central University for nationalities

  • 2003, Triple-A student, 2002-2003, South-Central University for nationalities

  • 2003, Second class scholarship, 2002-2003, South-Central University for nationalities (top 3%)

  • 2002, First class scholarship, 2001-2002, South-Central University for nationalities (top 1%)

  • 2001, Triple-A student, 2000-2001, South-Central University for nationalities

  • 2001, First class scholarship, 2000-2001, South-Central University for nationalities (top 1%)

  • 1999, First class prize, High-school Mathematics Competition, Province Award, Shandong Province, China

  • 1998, Second class prize, High-school Mathematics Competition, National Award, China

Research Interest __________________________

  • Lossy Data Compression for Extreme-scale Scientific Datasets

  • Fault-Tolerance in Cloud Computing and HPC

  • Optimization of Resource Allocation (both theoretical analysis and practical implementation)

  • Cloud Computing, Peer-to-Peer, and Grid Computing

  • Performance Evaluation (with Google trace)

More Research Topics I studied______________

  • Grid Monitoring System

  • Grid Information Service

  • Grid Security / Access Control

  • Process Migration

  • Semantic Webs

  • Data Analysis/Compression

  • Flexible Graphical User Interface

  • Web 2.0

Local Organizing & Committee Member _______

  1. Program Committee Member: IEEE Transactions on Parallel and Distributed Systems (IEEE TPDS) Special Section on Parallel and Distributed Computing Techniques for AI, ML and DL (IEEE TPDS-SS-AI 2020).

  2. Program Committee Member: International Workshop on Data Analysis and Reduction for Big Scientific Data (DRBSD-5), in conjunction with SC2020.

  3. Program Committee Member: IEEE International Conference on High Performance Computing , Data, and Analytics (IEEE HiPC2020), 2020.

  4. Program Committee Member [Data, Storage, and Visualization track and poster section]: IEEE International Conference on Cluster Computing (IEEE CLUSTER-2020), 2020

  5. Program Committee Member: Asia-Pacific Services Computing Conference (APSCC 2019), 2019.

  6. Program Committee Member: IEEE International Conf. on SmartData (SmartData 2019), 2019.

  7. Program Committee Member: IEEE congress on BigData (IEEE BigData Congress 2019), 2019.

  8. Program Committee Member: Asia-Pacific Services Computing Conference (APSCC'18), 2018

  9. Track Chair/Program Committee Member: IEEE International Congress on BigData (IEEE BigData Congress 2018), San FranCisco, CA, 2018.

  10. Program Committee Member [poster session]: IEEE/ACM The International Conference for High Performance Computing, Networking, Storage and Analysis  (SC'18), 2018.

  11. Program Committee Member: 32nd IEEE International Parallel and Distributed Processing Symposium  (IPDPS'18), 2018.

  12. Program Committee Member: 18th IEEE/ACM International Symposium of Cluster, Cloud and Grid Computing (CCGrid'17), 2017.

  13. Program Committee Member: 3rd Workshop of Fault Tolerant Systems (FTS17), held in conjunction with IEEE CLUSTER'17.

  14. Program Co-chair: 2nd Workshop of Fault Tolerant Systems (FTS16), held in conjunction with IEEE CLUSTER'16, Sept.16th, 2016, Taipei.

  15. Program Committee Member: 16th IEEE/ACM International Symposium of Cluster, Cloud and Grid Computing (CCGrid'15), 2015.

  16. Program Committee Member: 7th International Conference on Cloud Computing Technology and Science, (CloudCom'15), 2015.

  17. Program Committee Member: IEEE International conference on Big Data Intelligence and Comuputing (DataCom'15), 2015.

  18. Program Committee Member: The 4th IEEE International Workshop on Cloud Computing Interclouds, Multiclouds, Federations, and Interoperability (Intercloud'15), 2015.

  19. Organizing Chair: Postdoc-Ph.D-Student Meeting at 2nd JLESC workshop, Nov.24-26, 2014.

  20. Program Committee Member: 6th International Conference on Cloud Computing Technology and Science, Singapore (CloudCom'14), 15-18 Dec, 2014. (System track and Ph.D consortium)

  21. Program Committee Member: 5th International Conference on Scalable Information Systems (Infoscale'14), Seoul, South Korea, 2014.

  22. Program Committee Member: Asia-Pacific Services Computing Conference (APSCC'14), 2014

  23. Program Committee Member: International Workshop on Mobile Internet Big Data, 2014

  24. Program Committee Member: IEEE International Workshop on Advanced Technologies of Cloud Computing, IWATCC14, 2014.

  25. Program Committee Member: IEEE International Conference on Services Computing (SCC'14), 2014.

  26. Program Committee Member: IEEE 3rd International Workshop on Cloud Computing Interclouds, Multiclouds, Federations, and Interoperability (IEEE Intercloud'14), 2014.

  27. Program Committee Member: The 5th IEEE International Conference on Cloud Computing Technology and Science (CloudCom'13), 2013.

  28. Program Committee Member: The 27th IEEE International Conference on Advanced Information Networking and Applications (AINA'13), 2013.

  29. Program Committee Member: The 4th IEEE International Conference on Cloud Computing Technology and Science (CloudCom'12), 2012.

  30. Program Committee Member: IEEE Asia Pacific Cloud Computing Conference (APCloud'12), 2012

  31. Organizing Committee Member: PRAGRMA Confeference11, 2011

  32. Organizing Committee Member: 6th Workshop of OMII-Europe and CNGrid, 2008

Invited External Reviewer I used to be_______

  • Reviewer: IEEE Grid Computing (GRID07), 2007

  • Reviewer: IEEE Transactions on Computers (ToC), 2008

  • Reviewer: Journal of Parallel Distributed and Computing (JPDC), 2008

  • Reviewer: IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing (CCGrid09)

  • Reviewer: High Performance Computing Asia (HPCAsia09), 2009

  • Reviewer: IEEE International Conference on Cluster Computing (IEEE Cluster09), 2009

  • Reviewer: International Conference on Parallel and Distributed Computing (ICPADS09), 2009

  • Reviewer: IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing (CCGrid10)

  • Reviewer: IEEE 4th International Conference on Cloud Computing (Cloud10), 2010

  • Reviewer: Journal of Computer Science and Technology (JCST), 2010

  • Reviewer: Heterogeneity in Computing Workshop (HCW10) in conjunction with IPDPS10

  • Reviewer: CNGrid Annual Conference 2009/2010/2011

  • Reviewer: IEEE/ACM International Parallel & Distributed Processing Symposium (IPDPS11), 2011

  • Reviewer: IEEE International Conference on Parallel Processing (ICPP11), 2011

  • Reviewer: Heterogeneity in Computing Workshop (HCW11) in conjunction with IPDPS11

  • Reviewer: International Conference on Services Computing (SCC11), 2011

  • Reviewer: Cloud Computing (CloudCom11), 2011

  • Reviewer: International Journal of Computational Science and Engineering, 2012

  • Reviewer: Cloud Computing (CloudCom12), 2012

  • Reviewer: IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing (CCGrid13)

  • Reviewer: International Journal of Automated Software Engineering (ASE13), 2013

  • Reviewer: International Journal of Peer-to-Peer Networking and Applications (PPNA), 2013

  • Reviewer: International Conference on Networking and Grid Cloud Computing (ICNGCC-2013)

  • Reviewer: International Journal of Future Generation Computer Systems (FGCS-2013)

  • Reviewer: KSII Transactions on Internet and Information Systems (TIIS), 2013

  • Reviewer: Journal of Zhejiang University, 2013

  • Reviewer: IEEE Transactions on Parallel and Distributed Systems (TPDS), 2013

  • Reviewer: Cloud computing (CloudCom13), 2013

  • Reviewer: Journal of Frontiers of Computer Science, 2013.

  • Reviewer: IEEE Transactions on Cloud Computing (TCC), 2013.

  • Reviewer: The 27th IEEE International Conference on Advanced Information Networking and Applications (AINA13), 2013.

  • Reviewer: IEEE/ACM International Parallel & Distributed Processing Symposium (IPDPS14), 2014

  • Reviewer: IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing (CCGrid14)

  • Reviewer: Journal of Computer Science and Technology (JCST), 2014.

  • Reviewer: IEEE Transactions on Cloud Computing (TCC), 2014.

  • Reviewer: International Journal of Future Generation Computer Systems (FGCS), 2014

  • Reviewer: IEEE/ACM Proc. of 26th International Conference of SuperComputing (SC14), 2014

  • Reviewer, IEEE International Conference on Cloud Computing and Science (CloudCom14), 2014

  • Reviewer, IEEE Transactions on Parallel and Distributed Systems (TPDS), 2014

  • Reviewer, IEEE/ACM International Parallel & Distributed Processing Symposium (IPDPS15), 2015

  • Reviewer: IEEE International Workshop on Cloud Computing Interclouds, Multiclouds, Federations, and Interoperability (Intercloud 2015), 2015

  • Reviewer: elsevier Journal of Systems and Software (JSS), 2015

  • Reviewer: International Journal of Future Generation Computer Systems (FGCS), 2015

  • Reviewer: International ACM Symposium on High Performance Parallel and Distributed Computing (HPDC15), 2015

  • Reviewer: IEEE Systems Journal (SJ), 2015.

  • Reviewer: Journal of Software: Practice and Experience (SPE), 2015.

  • Reviewer: Journal of Parallel Distributed and Computing (JPDC), 2015.

  • Reviewer: The Computer Journal, 2015.

  • Reviewer: International Conference on Cluster Computing (IEEE CLUSTER15), 2015.

  • Reviewer: The 12th Annual IFIP International Conference on Network and Parallel Computing (NPC15), 2015.

  • Reviewer: IEEE Transactions on Parallel and Distributed Systems (TPDS), 2015.

  • Reviewer: IEEE Transactions on Cloud Computing (TCC), 2015.

  • Reviewer: Journal of Mathematical Problems in Engineering (MPE2015), 2015.

  • Reviewer: International Conference on Cloud Computing and Big Data (CCBD2015), 2015.

  • Reviewer: IEEE Transactions on Service Computing (TSC), 2015.

  • Reviewer: IEEE International conference on Big Data Intelligence and Comuputing (DataCom'15), 2015.

  • Reviewer: Journal of Knowledge based Systems (KBS), 2015.

  • Reviewer: International Parallel and Distributed Processing Symposium (IPDPS'16), 2016.

  • Reviewer: IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing (CCGrid'16), 2016.

  • Reviewer: International ACM Symposium on High Performance Parallel and Distributed Computing (HPDC'16), 2016.

  • Reviewer: IEEE Transactions on Parallel and Distributed Computing (TPDS), 2016.

  • Reviewer: ACM International Conference on Supercomputing (ICS'16), 2016.

  • Reviewer: IEEE Transactions on Cloud Computing (TCC), 2016.

  • Reviewer: elsevier Journal of Parallel Computing (PARCO), 2016.

  • Reviewer: IEEE Transactions on Communications (TOC), 2016.

  • Reviewer: Journal of Parallel and Distributed Computing (JPDC), 2016.

  • Reviewer: IIS. Journal of Information Science and Engineering, 2016.

  • Reviewer: International Parallel and Distributed Processing Symposium (IPDPS'17), 2017.

  • Reviewer: IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing (CCGrid'17), 2017.

  • Reviewer: IEEE International Conference on Cluster Computing (IEEE Cluster17), 2017.

  • Reviewer: IEEE Transactions on Parallel and Distributed Computing (TPDS), 2017.

  • Reviewer: The International Journal of High Performance Computing Applications (IJHPCA), 2017.

  • Reviewer: 3rd Workshop of Fault Tolerant Systems (FTS17), 2017.

  • Reviewer: IEEE Transactions on Parallel and Distributed Systems (TPDS), 2018.

  • Reviewer: Elsevier Computer Physics Communications (CPC), 2018.

  • Reviewer: IEEE International Congress on Bigdata, 2018.

  • Reviewer: International Conference on Parallel Processing  (ICPP), 2018.

  • Reviewer: Future Generation System Computing (FGCS), 2018.

  • Reviewer: Journal of Concurrency and Computation: Practice and Experience (CCPE), 2018.

  • Reviewer: IEEE Cluster, 2018. [poster]

  • Reviewer: LNCS Asia-Pacific Services Computing Conference (APSCC), 2018.

  • Reviewer: Journal of Supercomputing, 2018.

  • Reviewer: ACM Transactions on Parallel Computing (TOPC), 2019

  • Reviewer: IEEE Transactions on Parallel and Distributed Systems (TPDS), 2019.

  • Reviewer: IEEE congress on BigData, 2019.

  • Reviewer: ACM Symposium on High-Performance Parallel and Distributed Computing (HPDC19), 2019.

  • Reviewer: IEEE International Conference on Smart Data (SmartData-2019), 2019.

  • Reviewer: International Conference on Parallel Processing (ICPP), 2019.

  • Reviewer: SIAM Scientific Computing Journal, 2019

  • Reviewer: IEEE International Parallel and Distributed Processing Symposium (IPDPS'19), 2019

  • Reviewer: ACM Journal of Computing Surveys (CSUR), 2019

  • Reviewer: IEEE SmartDataService Conference, 2020

  • Reviewer: International Journal of Electrical Power and Energy Systems (IJEPES), 2020

  • Reviewer: Springer Peer-to-Peer Networking and Applications (PPNA2020), 2020

  • Reviewer: IEEE Transactions on Parallel and Distributed Systems (TPDS), regular track, 2020.

  • Reviewer: IEEE Transactions on Parallel and Distributed Systems (TPDS), special section on Parallel and Distributed Computing Techniques for AI, ML and DL, 2020.

  • Reviewer: IEEE International Conference on Cluster Computing (IEEE CLUSTER-2020), 2020.

  • Reviewer: International Conference on High Performance Computing (IEEE/ACM HiPC 2020).

  • Reviewer: ACM Computing Surveys (CSUR), 2020.

  • Reviewer: IEEE Transactions on Smart Grid, 2020.

  • Reviewer: Journal of Mathematical Problems in Engineering (MPE), 2020.

Activities (Invited Talks)____________________

  • 2019, Nov. Tutorial Speaker in Compression for Scientific Data at Supercomputing (SC19), 2019, Denver, USA.

  • 2019, Oct, Invited Talk at Illinois Institute of Technology (IIT), Chicago, USA.

  • 2019, Oct, Invited Talk at Wayne State University (WSU), Detroit, USA.

  • 2019, April, Invited Talk at Joint Laboratory for Extreme Scale Computing (JLESC) workshop, Tennessee,
    Knoxville, USA.

  • 2019, March, Invited Talk about Z-checker at ECP CODAR all-hands meeting in ORNL, USA.

  • 2019, March, Invited Talk about SZ at ECP Exasky all-hands meeting in Santa Fe, USA.

  • 2018, Nov. Tutorial Speaker in Compression for Scientific Data at Supercomputing (SC18), 2018, Denver, USA.

  • 2018, June 18-20, Invited Talk at The 13th scheduling for large scale systems workshop, Berkeley, CA.

  • 2017, Nov. Tutorial Speaker in Compression for Scientific Data at Supercomputing (SC17), 2017, Denver, USA.

  • 2017, July, Invited Talk at Joint Laboratory for Extreme-Scale Computing (JLESC) workshop, Champaign, USA.

  • 2016, Dec, Invited Talk at Joint Laboratory for Extreme-Scale Computing (JLESC) workshop, Kobe, Japan.

  • 2016, Nov, Invited Talk at Youth workshop, Kobe, Japan.

  • 2016, Sept. 15th, Invited Talk at Fault Tolerant System workshop, in conjunction with IEEE CLUSTER conference, Taipei, Taiwan.

  • 2016, June, Invited Talk at Huazhong University of Science and Technology (HUST), Wuhan, China.

  • 2016, May 5th, Invited Talk at Hubei University of Technology, Wuhan, China.

  • 2016, March, Invited Poster Presentation at Los Alomas National Lab (LANL), USA.

  • 2014, Nov. 25th, Invited Talk at Joint Laboratory for Extreme-Scale Computing (JLESC) Workshop, Champaign, USA.

  • 2014, May 8th, Invited Talk at Argonne National Laboratory, Lemont, USA.

  • 2014, April 2nd, Invited Talk at University of California - Merced (UC-Merced), Merced, USA.

  • 2014, Feb. 11th, Invited Talk at Huazhong University of Science and Technology (HUST), Wuhan, China.

  • 2014, Jan. 24th, Invited Talk at Shenzhen Institutes of Advanced Technology (SIAT), Shenzhen, China

  • 2014, Jan. 23rd, Invited Talk at The University of Hong Kong, Hong Kong, Hong Kong, China

  • 2013, Nov. 25-27, Invited Talk at the 10th Workshop of the INRIA-Illinois Joint Laboratory on Petascale Computing, UIUC, USA.

  • 2013, June 12-14, Invited Talk at the 9th Workshop of the INRIA-Illinois Joint Laboratory on Petascale Computing, Lyon, France.

  • 2012, Nov. 19-22, Invited Talk at Google (Mountain View, California), USA.

  • 2011, Aug. 22-23, Final-check Report for HKU-Grid Point project, on behalf of System Research Group of The University of Hong Kong, Beijing (Peking), China.

  • 2011, Jan. 12-13, Invited Talk for reporting the development progress for HKU-Grid Point project, on behalf of System Research Group of The University of Hong Kong, Beijing (Peking), China.

  • 2010, July. 29-Aug. 1, Invited Talk for reporting the development progress for HKU-Grid, on behalf of System Research Group of The University of Hong Kong, at Xilinhot, Inter Mongolia, China.

  • 2008, Dec. 18-20, Invited Talk for reporting the development progress for HKU-Grid, on behalf of System Research Group of The University of Hong Kong, at Shanghai, China.

  • 2008, July. 24-25, Invited Talk for reporting the development progress for HKU-Grid Point project, on behalf of System Research Group of The University of Hong Kong, at Wuxi, Jiangsu, China.

  • 2008, Jun. 22-25, Invited Talk for reporting the development progress for HKU-Grid Point project, on behalf of System Research Group of The University of Hong Kong, at Beijing (Peking), China.

  • 2007, Oct., Organization & Coordination of the demonstration for SRG Group (Open-day), HKU.

  • 2007, July 24-25, Invited Talk for reporting the development progress for HKU-Grid Point project, on behalf of System Research Group of The University of Hong Kong, at Beijing (Peking), China.