Presenter
Biography
Sheng Di received his Ph.D. from the University of Hong Kong in 2011 (certificated in 2012). He was a postdoctoral fellow at INRIA, where he worked on workload/hostload prediction for Google data centers and optimization of resource allocation. He is now a computer scientist in the mathematics and computer science (MCS) division of Argonne National Laboratory. His current research interest includes lossy compression for scientific datasets, high performance computing, scalable computing, and fault tolerance. He is a senior member of IEEE, institute fellow of NAISE, also the scientist at Large through the Consortium for Advanced Science and Engineering (CASE) at the University of Chicago. He is the DOE 2021 Early Career Research Program Award Winner, and also the recipient of 2018 IEEE-Chicago Distinguished Mentoring Award and 2019 IEEE-Chicago Distinguished R&D Award. He also received R&D100 award twice in 2019 and 2021, respectively.
Presentations
Workshop
Data Compression
Data Movement and Memory
Middleware and System Software
W
Paper
Accelerators
Algorithms
Data Compression
I/O, Storage, Archive
Performance Optimization
TP
Best Student Paper Finalist
Paper
Accelerators
Algorithms
Data Compression
I/O, Storage, Archive
Performance Optimization
TP
Paper
Data Compression
Data Movement and Memory
Distributed Computing
Message Passing
Network
TP
Workshop
Data Compression
Data Movement and Memory
Middleware and System Software
W
Posters
TP
XO/EX
Tutorial
I/O, Storage, Archive
Scientific and Information Visualization
TUT
Paper
Fault-Tolerance, Reliability, Maintainability, and Adaptability
Middleware and System Software
Performance Evaluation and/or Optimization Tools
Runtime Systems
TP
Chair of Sessions
Workshop
Data Compression
Data Movement and Memory
Middleware and System Software
W
Committee Roles
SC Workshop Organizer: DRBSD-10
Research/ACM SRC Posters Member