Contributor

Sheng Di received his master’s degree from Huazhong University of Science and Technology in 2007 and Ph.D. degree from the University of Hong Kong in 2011. He is currently a computer scientist at Argonne National Laboratory. His research interests involve resilience on high-performance computing (such as silent data corruption, optimization checkpoint model, and in situ data compression) and broad research topics on cloud computing. He is working on multiple HPC projects, such as detection of silent data corruption, characterization of failures and faults for HPC systems, and optimization of multilevel checkpoint models. He is the recipient of a DOE 2021 Early Career Research Program award.