Versions Compared

Key

  • This line was added.
  • This line was removed.
  • Formatting was changed.
Table of Contents
Children Display
alltrue

...

Overview

This project will develop and deploy a novel instrument for accelerating deep learning research at the University of Illinois. The instrument will integrate the latest computing, storage, and interconnect technologies in a purpose-built shared-use system. This Instrument will deliver unprecedented performance levels for extreme data-intensive emerging fields of research with far-reaching impacts in many areas, such as computer vision, natural language processing, artificial intelligence, healthcare and education. The instrument development will be driven by the UofI deep learning community needs and will be carried out in collaboration with IBM and Nvidia. The instrument will serve as a focal point for the rapidly growing deep learning research community at UofI, enable expansion of several research programs, and contribute to STEM education and training.

https://www.nsf.gov/awardsearch/showAward?AWD_ID=1725729

http://www.ncsa.illinois.edu/enabling/data/deep_learning

Personnel

Co-PIs

Bill Gropp <wgropp@uiuc.edu>

Volodymyr Kindratenko <kindrtnk@illinois.edu>

Roy Campbell <rhc@illinois.edu>

Jian Peng <jianpeng@illinois.edu>

Development team

Volodymyr Kindratenko

Research engineer: TBD

Postdocs: 2 TBD

GRAs: Benjamin Rabe <brabe2@illinois.edu>
Hadi Hashemi <hashemi3@illinois.edu>

Advisory Board

TBD

...