Big data has become a buzz word. Among various big-data challenges, real-time data analytics has been identified as one of the most exciting and promising areas for both academia and industry. We are facing the challenges at all levels ranging from sophisticated algorithms and procedures to mine the gold from massive data to high-performance computing (HPC) techniques and systems to get the useful data in time. Our research has been on the system design and implementation of HPC technologies as weapons to address the performance requirement of real-time data analytics. Interestingly, we have also observed the interplay between HPC and real-time data analytics, where real-time data analytics also poses significant challenges to the design and implementation of HPC technologies. In this talk, I will present our recent research efforts in developing real-time data analytics system with GPUs and on Cloud. Finally, I will outline our research agenda. More details about our research can be found at http://pdcc.ntu.edu.sg/xtra/.

Bio:

Dr. Bingsheng He is currently an Assistant Professor at Division of Networks and Distributed Systems, School of Computer Engineering, Nanyang Technological University, Singapore. Before that, he held a research position in the System Research group of Microsoft Research Asia (2008-2010), where his major research was building high performance cloud computing systems for Microsoft. He got the Bachelor degree in Shanghai Jiao Tong University (1999-2003), and the Ph.D. degree in Hong Kong University of Science & Technology (2003-2008). His current research interests include cloud computing, database systems and high performance computing. His papers are published in prestigious international journals (such as ACM TODS, IEEE TKDE/TPDS/TC) and proceedings (such as ACM SIGMOD, VLDB/PVLDB, ACM/IEEE SuperComputing, ACM HPDC, PACT, and ACM SoCC). He has been awarded with the IBM Ph.D. fellowship (2007-2008) and with NVIDIA Academic Partnership (2010-2011).