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Lab Mission

The High Performance Data Analytics and Computing (HiPDAC) lab conducts research and development in the broad area of high-performance computing and big data analytics. The lab's mission is to develop techniques, design algorithms, and build software to improve the performance, reliability, and energy efficiency for large-scale computations and big data applications. The current research topics include (but not limited to) accelerator-based computing (GPU/FPGA), scientific data management, data compression, fault tolerance and resilience, energy-efficient computing, numerical algorithms and software, scientific simulations, and large-scale machine learning.

Research Highlights: https://eecs.wsu.edu/~dtao/hipdac/research-highlights.pdf.

Research Group: Welcome

PRINCIPLE INVESTIGATOR

DINGWEN TAO

Dr. Dingwen Tao is an associate professor of intelligent systems engineering in the Luddy School of Informatics, Computing, and Engineering at Indiana University Bloomington. He received his Ph.D. degree in Computer Science from University of California, Riverside in 2018 and his B.S. degree in Mathematics from University of Science and Technology of China in 2013. Contact him at ditao@iu.edu.

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Research Group: News & Resources

CURRENT STUDENTS

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JIANNAN TIAN (PHD STUDENT, JOINED IN SPRING 2019)

Jiannan received his bachelor's degree in Electrical and Computer Engineering from Dalian Maritime University in 2013 and received his master's degree in Computer Engineering from University of Massachusetts, Amherst in 2017. He finished his master thesis "Analyzing Spark Performance on Spot Instances". Jiannan Tian joined The University of Alabama in Spring 2019. He is interested in High Performance Computing, Cloud Computing, Parallel Computing, Energy Efficient Computing, and general technologies for Big Data Analytics. He did a long-term at Argonne National Laboratory since Fall 2019. Contact him at jti1@iu.edu.

More details about Jiannan can be found in his CV

Personal webpage: https://www.jti.one/

CHENGMING ZHANG (PHD STUDENT, JOINED IN FALL 2019)

Chengming received his B.S. degree in Integrated circuit design from University of Electronic Science and Technology of China (UESTC) in 2017. He respectively won the third prize and the first prize in the National Undergraduate Electronic Design Contest in 2015 and 2016. He designed three digital chips for accelerating artificial neural network in 2018, and all chips were fabricated with standard 130 nm or 55 nm CMOS technology. Mr. Zhang joined HiPDAC Lab in Fall 2019. His research interests include High Performance Computing, Data Mining, Machine Learning, and Parallel Computing. He did his summer intern at Facebook AI and Microsoft Research in Summer 2021, Summer 2022/2023, respectively. Contact him at czh5@iu.edu.

More details about Chengming can be found in his CV

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DAOCE WANG (PHD STUDENT, JOINED IN FALL 2020)

Daoce received his bachelor's degree in Computer Science from University of Electronic Science and Technology of China (UESTC) in 2018 and received his master's degree in Computer Science from University of Florida in 2020.  Mr. Wang joined HiPDAC Lab in Fall 2020. His research interests include parallel computing algorithms, databases, data analysis and computer network topology. He did his summer interns at Los Alamos National Laboratory in Summer 2021, 2022, and 2023. Contact him at daocwang@iu.edu.

More details about Daoce can be found in his CV.

BAIXI SUN (PHD STUDENT, JOINED IN SPRING 2021)

Baixi received his bachelor's degree in Software Engineering from Harbin Engineering University (HEU) in 2018 and received his master's degree in Computer Science from University of California, Riverside in 2020. Mr. Sun is joining HiPDAC Lab in Spring 2021. His research interests include High Performance Computing, Parallel Computing, High-dimensional Data Analysis, Machine Learning, and Data Mining. He did his long-term intern at Argonne National Laboratory since Summer 2021. Contact him at sunbaix@iu.edu

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XINYU CHEN (PHD STUDENT, JOINING IN SUMMER 2021)

Xinyu received a diploma in Information Management from the University of Business and Economics. He  worked with the Travelsky Tech Ltd as a software engineer and later got a bachelor's degree in Computer and Application from Peking University in 2011. He received his master's degree in Computer Science from University of New Mexico in 2019. Xinyu joined HiPDAC Lab in Fall 2021. His research interests include High Performance Computing, Graph Mining, Artificial Neural Networks, and Parallel Computing. He did summer internships at Los Alamos National Laboratory in Summer 2016, 2017 and 2018. He is now working with the Verint Systems as a machine learning engineer since 2019. Contact him at xinyu.chen1@wsu.edu.

More details about Xinyu can be found in his CV

BOYUAN ZHANG (PHD STUDENT, JOINING IN FALL 2021)

Boyuan received his B.S. degree in Electrical Engineering from Shanghai Jiao Tong University (SJTU) in 2018 and M.S. degree in Electrical Engineering from University of Southern California (USC) in 2020. During his undergraduate studies at SJTU, Mr. Zhang received a Scholarship from Shanghai Jiao Tong University. Mr. Zhang joined HiPDAC Lab in Fall 2021. His research interests include High Performance Computing, Artificial Neural Networks, and Parallel Computing. He did his summer intern at Pacific Northwest National Laboratory in Summer 2023. Contact him at bozhan@iu.edu.

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HAO FENG (PHD STUDENT, JOINED IN FALL 2022)

Hao received his bachelor's degree in Computer Science and Technology from Shandong University in 2022. He received two scholarships from Shandong University. Hao joined HiPDAC Lab in Fall 2022. His research interests include High Performance Computing, Parallel Computing, and Recommender System. Contact his at haofeng@iu.edu.

FANJIANG YE (PHD STUDENT, JOINED IN FALL 2023)

Fanjiang received his B.S. degree in Physics from University of Science and Technology of China(USTC) in 2023. During his undergraduate studies at USTC, Mr. Ye received the Outstanding Student Scholarship of USTC every year. Fanjiang joined HiPDAC Lab in Fall 2023. His research interests include High Performance Computing, Parallel Computing and Artificial Neural Networks. Contact him at fanjye@iu.edu.

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JINDA JIA (PHD STUDENT, JOINED IN FALL 2023)

Jinda Jia earned his B.S. degree in Software Engineering from Shandong University in 2020. Following graduation, Jinda served as a mobile developer at Meituan from 2020 to 2021. He went on to receive his Master's degree in Computer Science from the University of Florida in 2022. In Fall 2023, Jinda joined the HiPDAC Lab. His research interests encompass High Performance Computing, Parallel Computing, and Systems for Machine Learning, with a particular focus on Large Language Models. He can be reached at jiajinda001@gmail.com.

Research Group: News & Resources

PAST MEMBERS

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DR. SIAN JIN

Degree: Ph.D., Fall 2023. (BS from BNU in 2018).
Dissertation: Scaling HPC Applications Through Predictable and Reliable Data Reduction Methods.
Internship Experience: Los Alamos National Laboratory (Summer 2019, Summer 2020), Argonne Ridge National Laboratory (2021-2023).
Employment: Assistant Professor, Temple University.

Research Group: News & Resources

ALUMNI

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Lizhi Xiang (Spring 2022 - Summer 2022)

Current: PhD student in University of Utah

PeiYau Weng (Spring 2022 - Summer 2022)

Current: PhD student in WSU

Cody Rivera (Summer 2019 - Spring 2022)

Current: PhD student in University of Illinois

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Dung Hoang Le (Spring 2021 - Spring 2022)

Employment: International Code Council

Xintong Jiang (Fall 2020 - Summer 2021)

Current: PhD student in McGrill University

Aashman Gupta (Summer 2019)

Employment: Microsoft

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Baodi Shan (Summer 2020 - Fall 2020)

Current: PhD student in Stony Brook U.

Sultan Asiri (Summer 2019 - Spring 2020)

Current: PhD student in U. of Alabama

Wenyu Gai (Fall 2020 - Spring 2021)

Employment: Interactive Brokers

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Eric Song (Summer 2021) 

Philip Speegle (Fall 2019 ~ Spring 2020)

Jack O'Donohue (Summer 2019)

Research Group: News & Resources
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SC'22

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HPDC'22

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SC'21

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CONFERENCE & MEETING

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GROUP PHOTOS

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Research Group: News & Resources
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