software projects skills papers awards interests editors committees reviewers activities students/postdoc
Summary ________________________________
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Dr. Sheng Di is a computer scientist at Argonne National Laboratory, USA. He is an IEEE senior member and ACM 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).
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Dr. Di is the DOE 2021 Early Career Research Program Award Winner.
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Dr. Di is the recipient of 2018 IEEE Chicago Section Distinguished Mentoring Award and 2019 IEEE Chicago Section Distinguished Research and Development Award.
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Dr. Di is the winner of the 2019 R&D100 award and 2021 R&D100 award.
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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.
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He has 20-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.
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He is currently leading multiple important projects at Argonne National Laboratory, Lemont, USA.
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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).
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His publications appeared in: IEEE/ACM SC'XY, ACM SIGMOD, IEEE ICDE, VLDB, ACM ICS, IEEE IPDPS, IJCAI, IEEE DSN, IEEE MSST, ACM PPoPP, ACM HPDC, IEEE ICDCS, IEEE/ACM PACT, IEEE TPDS, IEEE TC, IEEE TCC, IEEE TKDE, IEEE TVCG, JPDC, IJHPCA, IEEE/ACM IWQoS, ICPP, IEEE CLUSTER, IEEE/ACM CCGrid, ACM HiPC, IEEE/ACM Grid, IEEE CLOUD, IEEE ICPADS, Europar, etc.
I am recruiting self-motivated postdoc researchers in the area of HPC, machine learning, and/or data analytics. Details can be found here.
Software Products Developed ______________________
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cuSZ (Co-developer): http://szcompressor.org
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SZ Lossy Data Compressor (Core developer): http://szcompressor.org
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AID (PI and core developer): Adaptive Impact-driven Detector for SDC: http://collab.cels.anl.gov/display/ESR/AID
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Z-checker (PI and core developer): Exascale Scientific Data Analysis Library with Lossy Compression: https://github.com/CODARcode/Z-checker
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GloudSim (PI and core developer): Google data based Cloud Simulator : https://github.com/nThanksForAllTheFish/gloudsim
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Fault Tolerant Interface (Co-developer): https://github.com/leobago/fti
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HPC log data analysis tool - LogAider (Main developer): https://github.com/disheng222/LogAider
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H5Z-SZ (PI and core developer): the filter of SZ for HDF5: https://github.com/disheng222/H5Z-SZ
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PnetCDF-SZ (Co-developer): a utility tool to compress/decompress netCDF file by SZ using PnetCDF: https://github.com/Parallel-NetCDF/PnetCDF-SZ
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QCAT (PI and core developer): Quick lossy Compression Analysis Toolkit: http://github.com/szcompressor/qcat
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LogAider (PI and core developer): Supercomputer Log Analysis Toolkit: https://github.com/disheng222/LogAider
Key Projects _____________________________
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DOE ASCR Data Reduction, 2021-2024, co-PI: Automatic Generation of Algorithms for High-Speed Reliable Lossy Compression.
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NSF CSSI ROCCI, 2021-2024, PI: Elements: ROCCI: Integrated Cyberinfrastructure for In Situ Lossy Compression Optimization Based on Post Hoc Analysis Requirements, $320K.
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DOE ASCR SDR (Early Career Award) , 2021-2026, PI: Scalable Dynamic Scientific Data Reduction: The overarching goal of this ASCR research project is to develop a scalable data reduction (SDR) framework that will be smart enough to dynamically generate the best-qualified data reduction solution that meets user requirements for various scientific applications, $2.5M.
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NSF CDS&E HyLoC, 2020-2023, PI: Objective-driven Adaptive Hybrid Lossy Compression Framework for Extreme-Scale Scientific Application, $300K.
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ECP VeloC/SZ, 2020-2023, technical leader, key designer/developer: The VeloC/SZ project focuses on ensuring high reliability for long-running exascale simulations and reducing the data while keeping important scientific outcomes intact.
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ECP ExaSky, 2016-2023, key developer of compressor: Our work in this project aims at exploring a set of very efficient compression techniques for Cosmology simulation.
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ECP CODAR, 2016-2023, key developer of compression assessment module: 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.
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DOE Catalog Project, 2015-2019, key developer: 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.
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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.
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ECP EZ, 2016-2019, technical leader: EZ project aims to develop a very effective, efficient, generic lossy compressor for significantly reducing the scientific data for scientists.
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NSF ALETHEIA, 2016-2021, coPI: A framework for automatic detection/correction of corruptions in extreme scale scientific executions. For details, please read my papers published in SC19 and more.
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PARIS, 2013-2016, key developer: Data-knowledge based Extreme-Scale Resilience: 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.
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AMFT Project, 2012-2015
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Predicting Idleness in Data Centers, key developer, 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.
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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.
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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.
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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.
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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.
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CGSV(ChinaGrid SuperVision, sponsored by HP), 2005-2006, designer and developer: 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.
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GPE4CGSP(Sponsored by Intel), 2006, developer: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.
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CGSP(ChinaGrid Supported Platform), 2005-2006 developer: 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.
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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.
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GlobalWatch (A distributed monitoring platform) , 2004-2005, designer and developer: 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 Background _____________________
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Programming Languages: Java, C, C++, Fortran, Python, bash, MPI, OpenMP, Prolog, JavaScript, JSP
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High Layer Technology: GIS (ArcGIS, OpenMap) / GUI
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Tools: automake, Makefile, ant, XML, XSL, HTML, SQL, Doc book, LaTEX
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Platform: J2EE
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OS: Unix and Linux (Kernel and Administration)
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DBMS: MySQL, Oracle
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Network Communication: Socket, RMI, Web Service (Axis, Muse, globus), Matlab Web Server, etc.
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Others: OpenPBS, Design Pattern, UML, Visio, VMWare, XEN
Publications ______________________________
- Khondoker Mirazul Mumenin, Dong Dai, Jinzhen Wang and Sheng Di, "QualityNet: Error-bounded Lossy Compression Quality Prediction via Deep Surrogate",
-----2024-----
................ [poster].......-----2023-----
.....
.
[poster]. (best poster award)
.
.
.. (1st
place of ACM SRC award -- Graduates)
....(best
paper nominated)..
.
....-----2022-----
... (...... (best
paper finalist).........-----2021-----
..
.........
....-----2020-----
Kai
Zhao,
Sheng Di,
Xin Liang, Sihuan Li, Dingwen Tao, Julie Bessac, Zizhong Chen,
Franck Cappello,
"SDRBench:
Scientific Data Reduction Benchmark for Lossy Compressors",
International Workshop on Big Data Reduction (IEEE
IWBDR20)
in conjunction with IEEE International Conference on Big Data (IEEE
BigData20),
2020, .
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, .
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, .
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, .
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, .
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, .
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, .
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, .
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, .
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, .
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, .
-----2019-----
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 The International Conference for
High Performance computing, Networking, Storage and Analysis (IEEE/ACM SC2019), 2019, .
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, .
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, .
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 The International Conference for High Performance
computing, Networking, Storage and Analysis (IEEE/ACM
SC2019),
2019, .
Xin Liang,
Sheng Di,
Sihuan Li, Dingwen Tao, Bogdan Nicolae, Zizhong Chen, Franck
Cappello, "Significantly
Improving Lossy Compression Quality based on An Optimized Hybrid
Prediction Model",
in IEEE/ACM The International Conference for High Performance
computing, Networking, Storage and Analysis (IEEE/ACM
SC2019),
2019, .
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 The International
Conference for High Performance computing, Networking, Storage and
Analysis (IEEE/ACM
SC2019), 2019, .
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, .
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, .
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.,
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, .
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, .
-----2018-----
Xin
Liang, Sheng Di,
Dingwen Tao, Sihuan Li, Shaomeng Li, Hanqi Guo, Zizhong Chen, Franck Cappello,
"Error-Controlled Lossy
Compression Optimized for High Compression Ratios of Scientific
Datasets", in
IEEE Bigdata2018,
2018, .
Sihuan
Li, Sheng Di,
Xin Liang, Zizhong Chen, Franck Cappello,
"Optimizing Lossy
Compression with Adjacent Snapshots for N-body Simulation", in
IEEE Bigdata2018,
2018, .
Xin Liang,
.
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 The International Conference for High
Performance computing, Networking, Storage and Analysis
IEEE/ACM
SC2018), 2018, .
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 The International Conference for
High Performance computing, Networking, Storage and Analysis (IEEE/ACM
SC2018), 2018, .
Sihuan Li, Sheng Di, Xin Liang, Zizhong Chen, Franck Cappello, "Improving Error-bounded Compression for Cosmological Simulation", in IEEE/ACM The International Conference for High Performance computing, Networking, Storage and Analysis (IEEE/ACM SC2018), 2018. [poster]
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 The International Conference for High Performance
computing, Networking, Storage and Analysis (IEEE/ACM
SC2018), 2018, .
[poster]
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
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, .
Dingwen Tao,
Sheng Di,
Xin Liang, Zizhong Chen, Franck Cappello,
"Fixed-PSNR Lossy
Compression for Scientific Data", in
IEEE CLUSTER 2018, .
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)
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)
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, .
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, .
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, .
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, .
.
-----2017-----
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, .
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, .
Omer Subasi,
.
Sheng Di,
Dingwen Tao, Franck Cappello, "An Efficient Approach to Lossy
Compression with Point-wise Relative Error Bound",
Proceedings of the 2nd International Workshop on Data Reduction for
Big Scientific Data (DRBSD-2)
in conjunction with IEEE/ACM The International Conference for
High Performance computing, Networking, Storage and Analysis (IEEE/ACM
SC2017),
2017, .
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 The International Conference for High Performance
computing, Networking, Storage and Analysis (IEEE/ACM
SC2017, ).
[poster]
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, .
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, .
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, .
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, .
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 (
.
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
ISC2017,
Frankfurt, Germany, June 22, 2017, .
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 (
.
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, .
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 (
.
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, .
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, .
-----2016-----
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, .
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, .
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, .
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, .
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.
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, .
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, .
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, .
-----2015-----
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, .
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, .
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], .
-----2014-----
Sheng Di,
Franck Cappello,
"GloudSim: Google Trace based Cloud Simulator with
Virtual Machines,"
in Journal of Software: Practice and Experience (Wiley
SPE), 2014, .
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 International Conference of SuperComputing (IEEE/ACM
SC2014),
New Orleans, 2014. [poster]
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, .
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)
Sheng Di,
Leonardo Bautista-gomez, Franck Cappello, "Optimization of
Multi-level Checkpoint Model with Uncertain Execution Scales," in
IEEE/ACM Proc. of International Conference of SuperComputing (IEEE/ACM
SC2014),
New Orleans, 2014, .
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, .
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, .
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, .
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, .
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, .
-----2013-----
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, .
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, .
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 International Conference of SuperComputing (IEEE/ACM
SC2013),
Denver, CO, US, 2013, .
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, .
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, .
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, .
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, .
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, .
-----2012-----
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, .
Sheng
Di,
Derrick Kondo, Walfredo Cirne, "Host Load Prediction in a Google
Compute Cloud with a Bayesian Model," in IEEE/ACM Proc. of
International Conference of SuperComputing (IEEE/ACM
SC2012), Utah, US, 2012, .
Sheng
Di,
Derrick Kondo, Walfredo Cirne,
"Characterization and Comparison of Cloud versus Grid Workloads,"
in IEEE Proc. of 14th
International Conference on Cluster Computing (IEEE
CLUSTER2012), Peking, China, 2012, .
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, .
-----2011-----
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,
.
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, .
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,
.
Zheming Xu,
Sheng Di,
Luwei Cheng, Weida Zhang and Cho-Li Wang, "WAVNet: Wide-Area Network
Virtualization Technique for Virtual Private Cloud", in Proc. of 40th International Conference on Parallel Processing (IEEE
ICPP2011), 2011,
pp. 285-294,
.
(best
paper nominated)
Luwei Cheng,
Cho-Li Wang, Sheng Di,
"Defeating Network Jitter for
Virtual Machines", " in IEEE/ACM International Conference on Utility and Cloud Computing (IEEE/ACM
UCC2011), 2011,
.
(best
student paper award)
-----2010-----
Haoyu Hu, Yinfeng Wang, Cho-Li Wang,
Sheng Di,
"Sensible Cloud: Cloud based Large-scale Social Intelligence
Reasoning", CNGridAnnual2010, Beijing, 2010, (in Chinese),
.
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),
.
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,
.
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,
.
-----2006~2009-----
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,
.
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,
.
Sheng Di, Cho-li Wang, "Task
Scheduling based on Dynamic Critical Task Estimation in P2P Grid
Workflow", CNGridAnnual2009, Beijing,
2009, (in Chinese),
.
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)
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,
.
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.
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,
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, .
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.
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 __________________________
-
2021, R&D 100 award (in recognition of leading SZ: A Lossy Compression Framework for Scientific Data)
-
2021, DOE Early Career Research Program Award
-
2019, IEEE Distinguished Research and Development Award (Chicago Section)
-
2019, 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, Full 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, Full 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
Journal Editorial/Review Board Member_______
-
Editorial Board Member, Frontiers in High Performance Computing Journal.
-
Review Board Member, Transactions on Parallel and Distributed Systems (TPDS)
Local Organizing & Committee Member _______
-
Review Committee Board Member: DOE-SBIR-STTR FOA, 2024.
-
Organizing Committee Member: International Workshop on Data Analysis and Reduction for Big Scientific Data (DRBSD-10), in conjunction with SC2024, 2024.
-
Research ACM SRC Poster Member: IEEE/ACM International Conference for High Performance computing, Networking, Storage and Analysis (SC2024), 2024.
-
Program Committee Member: IEEE International Conference on High Performance Computing , Data, and Analytics (IEEE HiPC2024), 2024.
-
Program Committee Member: IEEE/ACM International Parallel & Distributed Processing Symposium (IPDPS24), 2024.
-
Program Co-chair: 4th International Workshop on Big Data Reduction (IWBDR2023), in conjunction with IEEE Bigdata conference, 2023.
-
Steering Committee Member: International Workshop on Data Analysis and Reduction for Big Scientific Data (DRBSD-9), in conjunction with SC2023, 2023.
-
Program Committee Member: ACM High Performance Parallel and Distributed Computing (HPDC2023), 2023.
-
Review Committee Board Member: DOE Data Visualization FOA, 2022.
-
Program Committee Member: IEEE/ACM The International Conference for High Performance computing, Networking, Storage and Analysis (SC2022), 2022.
-
Program Co-chair: 3rd International Workshop on Big Data Reduction (IWBDR2022), in conjunction with IEEE Bigdata conference, 2022.
-
Program Chair: International Workshop on Data Analysis and Reduction for Big Scientific Data (DRBSD-8), in conjunction with SC2022.
-
Program Committee Member: 51st International Conference on Parallel Processing (ICPP2022), 2022.
-
Review Committee Board Member: Early Career Research Program (ECRP), 2022.
-
Program Committee Member: 36th IEEE International Parallel and Distributed Processing Symposium (IPDPS 2022), 2022.
-
Program Co-chair: 2nd International Workshop on Big Data Reduction (IWBDR2021), in conjunction with IEEE Bigdata conference, 2021.
-
Program Committee Member: IEEE Special Section on Parallel and Distributed Computing Techniques for AI, ML, and DL (IEEE TPDS-SS-AI 2021), 2021.
-
Program Committee Member: IEEE 2021 International Conference on Machine Learning and Applications (IEEE ICMLA2021), 2021.
-
Program Committee Member: IEEE International Conference on Big Data (IEEE Bigdata2021), 2021.
-
Program Committee Member: 35th IEEE International Parallel and Distributed Processing Symposium (IPDPS2021), 2021.
-
Program Committee Member: 18th IEEE Workshop on Silicon Errors in Logic -- System Effects (SELSE2021), 2021.
-
Program Co-chair: 1st International Workshop on Big Data Reduction (IWBDR2020), in conjunction with IEEE Bigdata conference, 2020.
-
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).
-
Program Committee Member: International Workshop on Data Analysis and Reduction for Big Scientific Data (DRBSD-5), in conjunction with SC2020.
-
Program Committee Member: IEEE International Conference on High Performance Computing , Data, and Analytics (IEEE HiPC2020), 2020.
-
Program Committee Member [Data, Storage, and Visualization track and poster section]: IEEE International Conference on Cluster Computing (IEEE CLUSTER-2020), 2020
-
Program Committee Member: Asia-Pacific Services Computing Conference (APSCC 2019), 2019.
-
Program Committee Member: IEEE International Conf. on SmartData (SmartData 2019), 2019.
-
Program Committee Member: IEEE congress on BigData (IEEE BigData Congress 2019), 2019.
-
Program Committee Member: Asia-Pacific Services Computing Conference (APSCC2018), 2018
-
Track Chair/Program Committee Member: IEEE International Congress on BigData (IEEE BigData Congress 2018), San FranCisco, CA, 2018.
-
Program Committee Member [poster session]: IEEE/ACM The International Conference for High Performance Computing, Networking, Storage and Analysis (SC2018), 2018.
-
Program Committee Member: 32nd IEEE International Parallel and Distributed Processing Symposium (IPDPS2018), 2018.
-
Program Committee Member: 18th IEEE/ACM International Symposium of Cluster, Cloud and Grid Computing (CCGrid2017), 2017.
-
Program Committee Member: 3rd Workshop of Fault Tolerant Systems (FTS17), held in conjunction with IEEE CLUSTER2017, 2017.
-
Program Co-chair: 2nd Workshop of Fault Tolerant Systems (FTS16), held in conjunction with IEEE CLUSTER2016, Sept.16th, 2016, Taipei.
-
Program Committee Member: 16th IEEE/ACM International Symposium of Cluster, Cloud and Grid Computing (CCGrid2015), 2015.
-
Program Committee Member: 7th International Conference on Cloud Computing Technology and Science, (CloudCom2015), 2015.
-
Program Committee Member: IEEE International conference on Big Data Intelligence and Comuputing (DataCom2015), 2015.
-
Program Committee Member: The 4th IEEE International Workshop on Cloud Computing Interclouds, Multiclouds, Federations, and Interoperability (Intercloud'15), 2015.
-
Organizing Chair: Postdoc-Ph.D-Student Meeting at 2nd JLESC workshop, Nov.24-26, 2014.
-
Program Committee Member: 6th International Conference on Cloud Computing Technology and Science, Singapore (CloudCom2014), 15-18 Dec, 2014. (System track and Ph.D consortium)
-
Program Committee Member: 5th International Conference on Scalable Information Systems (Infoscale2014), Seoul, South Korea, 2014.
-
Program Committee Member: Asia-Pacific Services Computing Conference (APSCC2014), 2014
-
Program Committee Member: International Workshop on Mobile Internet Big Data, 2014
-
Program Committee Member: IEEE International Workshop on Advanced Technologies of Cloud Computing, IWATCC14, 2014.
-
Program Committee Member: IEEE International Conference on Services Computing (SCC2014), 2014.
-
Program Committee Member: IEEE 3rd International Workshop on Cloud Computing Interclouds, Multiclouds, Federations, and Interoperability (IEEE Intercloud2014), 2014.
-
Program Committee Member: The 5th IEEE International Conference on Cloud Computing Technology and Science (CloudCom2013), 2013.
-
Program Committee Member: The 27th IEEE International Conference on Advanced Information Networking and Applications (AINA2013), 2013.
-
Program Committee Member: The 4th IEEE International Conference on Cloud Computing Technology and Science (CloudCom2012), 2012.
-
Program Committee Member: IEEE Asia Pacific Cloud Computing Conference (APCloud2012), 2012
-
Organizing Committee Member: PRAGRMA Confeference11, 2011
-
Organizing Committee Member: 6th Workshop of OMII-Europe and CNGrid, 2008
Invited External Reviewer_______
-
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.
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Reviewer: ACM Symposium on High-Performance Parallel and Distributed Computing (HPDC19), 2019.
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Reviewer: IEEE International Conference on Smart Data (SmartData-2019), 2019.
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Reviewer: International Conference on Parallel Processing (ICPP), 2019.
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Reviewer: SIAM Scientific Computing Journal, 2019
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Reviewer: IEEE International Parallel and Distributed Processing Symposium (IPDPS'19), 2019
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Reviewer: ACM Journal of Computing Surveys (CSUR), 2019
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Reviewer: IEEE SmartDataService Conference, 2020
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Reviewer: International Journal of Electrical Power and Energy Systems (IJEPES), 2020
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Reviewer: Springer Peer-to-Peer Networking and Applications (PPNA2020), 2020
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Reviewer: IEEE Transactions on Parallel and Distributed Systems (TPDS), regular track, 2020.
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Reviewer: IEEE Transactions on Parallel and Distributed Systems (TPDS), special section on Parallel and Distributed Computing Techniques for AI, ML and DL, 2020.
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Reviewer: IEEE International Conference on Cluster Computing (IEEE CLUSTER-2020), 2020.
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Reviewer: International Conference on High Performance Computing (IEEE/ACM HiPC 2020).
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Reviewer: ACM Computing Surveys (CSUR), 2020.
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Reviewer: IEEE Transactions on Smart Grid, 2020.
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Reviewer: Journal of Mathematical Problems in Engineering (MPE), 2020.
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Reviewer: Journal of Information Sciences, 2021.
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Reviewer: IEEE Transactions on Cloud Computing (TCC), 2021.
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Reviewer: IEEE Transactions on Parallel and Distributed Systems (TPDS), 2021.
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Reviewer: The International Journal of High Performance Computing Applications (IJHPCA), 2021.
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Reviewer: IEEE Special Section on Parallel and Distributed Computing Techniques for AI, ML, and DL (IEEE TPDS-SS-AI 2021), 2021.
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Reviewer: IEEE 2021 International Conference on Machine Learning and Applications (IEEE ICMLA2021), 2021.
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Reviewer: Journal of Computational Science (JOCSCI), 2022.
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Reviewer: Special Issue on Parallel Programming Models and Systems Software for High-End Computing of the Journal: Concurrency and Computation: Practice and Experience (CPE), 2022.
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Reviewer: IEEE Transactions on Parallel and Distributed Systems (TPDS), 2022.
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Reviewer: Knowledge-Based Systems (KNOSYS), 2022.
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Reviewer: IEEE Visualization (IEEE Vis) 2023.
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Reviewer: Frontier in High Performance Computing (Journal), 2023.
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Reviewer: Transactions on Parallel and Distributed Systems (IEEE TPDS) journal (5 papers), 2023.
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Reviewer: IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG2023) (2 papers)., 2023.
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Reviewer: Kansas NSF EPSCoR, (NSF proposal), 2024.
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Reviewer: Journal of Parallel Distributed Computing (JPDC), 2024.
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Reviewer: Future Generation Computer Systems (FGCS), 2024.
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Reviewer: IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid), 2024.
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Reviewer: IEEE/ACM International Parallel & Distributed Processing Symposium (IPDPS24), 2024.
Activities (Invited Talks)____________________
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2024, July 22,
2024, May 29th,
2024, April 16th,
2023, March 02,
2023, Feb 15,
2023, Feb 07,
2022, Sept. 18th,
2022, Aug. 30th,
2022, April, 15th,
2022, Jan 24, Invited talk at 'Breakout session on data reduction for ECP Applications' section in ECP annual meeting, Virtual meeting.
2022, Jan 24th, White paper presentation at ASCR Workshop on the Management and Storage of Scientific Data, Virtual meeting.
2021, Dec. 16th, Invited Talk at 'Compression session' of 13th Joint Laboratory for Extreme-Scale Computing (JLESC) workshop, Virtual meeting.
2021, April,
2021, April,
2021, Feb.,
2019, Nov.
2019, Oct,
2019, Oct,
2019, April,
2019, March,
2019
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.
Mentored Students and Post-doc Researchers____________________
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Longtao Zhang (Ph.D student from Florida State University, USA)
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Congrong Ren (Ph.D student from Ohio State University, USA)
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Xuan Wu (Ph.D student from University of Kentucky, USA)
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Ammar Ahmed (Ph.D student from University of Minnesota, USA)
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Khondoker Mumenin (Ph.D student from University of North Carolina at Charlotte, USA)
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Boyuan Zhang (Ph.D student from Indiana University, USA)
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Harvey Dam(Ph.D student from University of Utah, USA)
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Shihui Song (Ph.D student from University of Iowa, USA)
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Shan Huang (Ph.D student from Stevens Institute of Technology, USA)
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Weijin Liu (Ph.D student from Stevens Institute of Technology, USA)
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Mingze Xia (Ph.D student from University of Kentucky)
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Alexandra Poulos (Ph.D student from Clemson University, USA)
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Ning Yan (Ph.D student from Georgia State University, USA)
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Darren Ng (Ph.D student from University of California, Merced, USA)
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Zizhe Jian (Ph.D student from University of California, Riverside, USA)
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Tripti Agarwal (Ph.D student from University of Utah, USA)
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Tri Nguyen (Ph.D student from NC State University, USA)
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Grant Wilkins (Ph.D student from Clemson University, USA)
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Di Zhang (Ph.D student from The University of North Carolina at Charlotte, USA)
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Boyuan Zhang (Ph.D student from Indiana University, USA)
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David Krasowska (Ph.D student from Clemson University, USA)
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Milan Shah (Ph.D student from NC State University, USA)
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Pu Jiao (Ph.D student from University of Kentucky, USA)
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Zhaoyuan (Alex) Su (Ph.D student from GMU, USA)
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Arham Khan (Ph.D student from University of Chicago, USA)
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Ali M. Gok (Ph.D student from NU, USA); Postdoc at Argonne; Present: Cerebras Systems, USA.
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Xiaodong Yu (Ph.D student from Virginia Tech, USA); Postdoc at Argonne.
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Jiannan Tian (Ph.D student from WSU, USA).
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Robert Underwood (Ph.D student from Clemson U., USA).
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Jinyang Liu (Ph.D student from UCR, USA).
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Yuanjian Liu (Ph.D student from U. Chicago, USA).
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Yafan Huang (Ph.D student from U. Iowa, USA)
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Md Hasanur Rahman (Ph.D student from U. Iowa, USA)
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Eduardo Berrocal (Ph.D student from IIT, USA); Present: Senior Software Engineer at Intel Inc., USA.
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Omer Subasi (Ph.D student from BSC, Spain); Present: Computer Scientist at PNNL, USA.
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Dingwen Tao (Ph.D student from UCR, USA); Present: Assistant Computer Scientist at WSU, USA.
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Xin Liang (Ph.D student from UCR, USA); Present: Assistant Computer Scientist at Missouri S&T, USA.
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Sihuan Li (Ph.D student from UCR, USA); Present: Engineer at Facebook Inc., USA.
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Tasimia Reza (Ph.D student from Clemson U., USA).
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Ruiwen Shan (Ph.D student from Clemson U.., USA).
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David Krasowska (Ph.D student from Clemson U., USA).
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Cody Rivera (Bachelor student from UA USA).
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Hengzhi Chen (Bachelor student from USC, USA).
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Hongyuan Liu (Ph.D student from W&M, USA).
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Khalid Alharthi (Ph.D student from University of Warwick, UK).
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Hao Liu (Bachelar student from HKU, China); Present: Engineer at Google Inc., USA.
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Haibao Chen (Ph.D student from HUST, China).
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Xinhou Wang (Ph.D student from HUST, China).
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Xinchuan Wu (Ph.D student from U. Chicago); Present: Engineer at Intel Inc., USA.
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Zheming Xu (Master student from HKU, China).