Presenter
Biography
Sheng Di (ANL) is 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 the recipient of 2018 IEEE-Chicago Distinguished Mentoring Award and 2019 IEEE-Chicago Distinguished R&D Award. See https://www.mcs.anl.gov/~shdi for further information.
Presentations
ACM Student Research Competition: Graduate Poster
ACM Student Research Competition: Undergraduate Poster
Doctoral Showcase
Posters
TP
XO/EX
ACM Student Research Competition: Graduate Poster
ACM Student Research Competition: Undergraduate Poster
Doctoral Showcase
Posters
TP
XO/EX
Paper
Fault-Tolerance, Reliability, Maintainability, and Adaptability
Middleware and System Software
Performance Evaluation and/or Optimization Tools
Runtime Systems
TP
Workshop
Data Compression
Data Movement and Memory
Middleware and System Software
W
Paper
Data Compression
Data Movement and Memory
Distributed Computing
Message Passing
Network
TP
ACM Student Research Competition: Graduate Poster
ACM Student Research Competition: Undergraduate Poster
Doctoral Showcase
Posters
TP
XO/EX
Paper
Accelerators
Algorithms
Data Compression
I/O, Storage, Archive
Performance Optimization
TP
Best Student Paper Finalist
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
Chair of Sessions
Workshop
Data Compression
Data Movement and Memory
Middleware and System Software
W