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.
Dr. Dingwen Tao is a faculty member in the School of Electrical Engineering and Computer Science at Washington State University. He is affiliated with the HPC and Scalable Data Science Group. He also holds an adjunct position in the Department of Computer Science at the University of Alabama. 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 firstname.lastname@example.org.
SIAN JIN (PHD STUDENT, JOINED IN FALL 2018)
Sian received his B.S. degree in Physics from Beijing Normal University (BNU) in 2018. During his undergraduate studies at BNU, Mr. Jin received twice Scholarship of Beijing Normal University. He won First Prize in National Olympiad in Informatics (Advanced group) in 2012. He also won First Prize in the 12th China Adolescent Robotics Competition. Mr. Jin joined HiPDAC Lab in Fall 2018. His research interests include High Performance Computing, Compression Algorithms, Artificial Neural Networks, and Parallel Computing. He did summer internships at Los Alamos National Laboratory in Summer 2019 and Summer 2020. Contact him at email@example.com.
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 internships at Argonne National Laboratory in Fall 2019 and Summer 2020. Contact him at firstname.lastname@example.org.
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. Contact him at email@example.com.
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. Contact him at firstname.lastname@example.org.
CODY RIVERA (UNDERGRADUATE STUDENT, JOINED IN SUMMER 2019)
Cody is an undergraduate student studying Computer Science and Mathematics at The University of Alabama from Fall 2018. He is also in the Randall Research Scholars Program, an honors interdisciplinary undergraduate research program. His research interests include computer science theory, algorithms, and high-performance computing. Contact him at email@example.com.
BAODI SHAN (UNDERGRADUATE INTERN, JOINED IN SUMMER 2020)
Baodi Shan is a senior student at Shandong University. He will receive his B.S. degree in Elite Class of Data Science from Shandong University in 2021. Mr. Shan joined HiPDAC Lab in Summer 2020 and has been working on implementing a lossy compression fault injection tool based on LLVM (called LCFI). His research interests include High Performance Computing, Big Data System and Parallel Computing. Contact him at firstname.lastname@example.org.
XINTONG JIANG (UNDERGRADUATE INTERNSHIP, JOINED IN FALL 2020)
Xintong Jiang is an undergraduate student at McGill University. She is interning at WSU HiPDAC lab to seek NLP model performance optimization via compression techniques. Xintong enjoys inspiration from various state-of-art techniques and is always ready to take any challenge. Contact her at email@example.com.
WENYU GAI (GRADUATE INTERNSHIP, JOINED IN FALL 2020)
Wenyu received his bachelor's degree from Beijing Institute of Technology and his master's degree from the University of Florida. He is interning at HiPDAC Lab from Fall 2020. His research interests include computational mathematics, compression algorithms, and high performance computing. Contact him at firstname.lastname@example.org.