High Performance Data Analytics & Computing Lab
The High Performance Data Analytics and Computing Lab conducts research and development in the broad area of high performance computing and big data analytics. The lab 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/MIC), fault tolerance and resilience techniques, energy-efficient computing, scientific data analysis, reduction and visualization, compression algorithms and software, numerical algorithms and software, and large-scale HPC simulations.
Sian Jin (Ph.D., Started in Fall 2018)