$997K NSF grant: Deep learning and visualization infrastructure (EVL)
A large UIC team led by Maxine Brown, Director of the Computer Science Department’s Electronic Visualization Lab (EVL), received a new $997,363 NSF Major Research Instrumentation (MRI) grant for deep learning and visualization infrastructure. This grant was obtained by a large interdisciplinary team from many College of Engineering Departments and also Psychiatry.
“MRI: Acquisition of a Composable Platform as a Service Instrument for Deep Learning & Visualization (COMPaaS DLV)”
Maxine Brown, UIC Computer Science
Andrew Johnson, Robert Kenyon and G. Elisabeta Marai, all Computer Science (CS)
Tanya Berger-Wolf (CS), Sybil Derrible (Civil & Materials Eng.), Barbara Di Eugenio (CS), Chris Kanich (CS), Alex Leow (BioEng/Psychiatry, and by courtesy CS), Bing Liu (CS), Lance Long (EVL), Farzad Mashayek (Mechanical & Industrial Eng.), Roberto Paoli (Mechanical & Industrial Eng.), Luc Renambot (CS), Philip Yu (CS), Milos Zefran (Electrical & Computer Eng.), Xinhua Zhang (CS), and Brian D. Ziebart (CS)
October 2018 to September 2021
Its design utilizes state-of-the-art computer architecture, known as composable architecture, in which the computer’s components (traditional processor, GPU, storage, and networking) form a fluid pool of resources, such that different applications with different workflows can be run simultaneously, with each configuring the resources it requires almost instantaneously, at any time. Given composable infrastructure scalability and agility, it is more beneficial than traditional clouds and clusters that are rigid, overprovisioned, and expensive.