Date & Time:
April 12, 2019 11:00 am – 12:00 pm
Crerar 390, 5730 S. Ellis Ave., Chicago, IL,
04/12/2019 11:00 AM 04/12/2019 12:00 PM America/Chicago Alexey Tumanov (UC Berkeley) – Resource Management and Scheduling for Emerging AI Applications Crerar 390, 5730 S. Ellis Ave., Chicago, IL,

Resource Management and Scheduling for Emerging AI Applications

A new class of Artificial Intelligence applications is emerging that imposes a challenging set of requirements on how we program the cloud and how we manage cloud resources efficiently. With the end of Moore’s Law and Dennard scaling, coupled with simultaneous increase in the heterogeneity of increasingly interactive AI applications with end-to-end latency constraints, the future of AI Systems depends on advances in resource management and scheduling for these applications. First, these applications generate an increasingly heterogeneous set of tasks, both in the resources optimal for their performance and in the time scale of individual tasks. Second, they are increasingly user-facing, imposing a set of soft real-time constraints on the frameworks serving these workloads. Third, they individually expect or benefit from heterogeneous and often conflicting resource allocation policies — a challenge for unifying frameworks that aim to support them. Thus, a set of three emergent requirements must be efficiently addressed: (1) heterogeneity awareness in space and time, (2) soft real-time end-to-end latency constraints, and (3) scheduling policy heterogeneity at the application level. To address these requirements, I will present (1) TetriSched — a mathematical framework to capture the performance as a function of resource space and timeliness requirements of these applications for cost-efficient and heterogeneity-aware resource allocation, (2) Inferline — a soft real-time system for achieving these requirements under unpredictable bursty workloads when multiple ML models are composed for inference; (3) Ray — an active open source project that brings some of these ideas together and serves as the unifying framework for distributed ML, addressing the challenge of scheduling policy heterogeneity.

Host: Sanjay Krishnan

Alexey Tumanov

Postdoctoral Researcher, University of California, Berkeley

Alexey Tumanov is a Postdoctoral Researcher at the University of California Berkeley, working with Ion Stoica and collaborating closely with Joseph Gonzalez in RISELab, Department of Computer Science. Alexey completed his Ph.D. at Carnegie Mellon University, advised by Gregory Ganger. At Carnegie Mellon, Alexey was awarded the prestigious Canadian government fellowship, NSERC Alexander Graham Bell Canada Graduate Scholarship (NSERC CGS-D3) and was a member of the Intel Science and Technology Center for Cloud Computing and the Parallel Data Lab. Alexey’s Systems research spanned the entire stack, starting with agile stateful VM replication with para-virtualization at the University of Toronto (working with Eyal de Lara) and most recently involving resource management for emerging AI applications. Alexey is the recipient of several awards, including the Best Graduate Student Teaching Assistant at Carnegie Mellon and the Best Student Paper award for his thesis work on TetriSched at EuroSys 2016.

Related News & Events

UChicago CS News

Five UChicago CS Students Named to Siebel Scholars 2023 Class

Sep 22, 2022
UChicago CS News

UChicago CS Students Emily Wenger and Xu Zhang Receive Harper Fellowships

Sep 14, 2022
In the News

Internet Disconnect

Sep 13, 2022
UChicago CS News

UChicago/Argonne Computer Scientist Ian Foster Receives ACM/IEEE Ken Kennedy Award

Sep 07, 2022
UChicago CS News

First In-Person Robotics Class Lets Students See Code Come To (Artificial) Life

Sep 06, 2022
UChicago CS News

UChicago/Argonne Researchers Will Cultivate AI Model “Gardens” With $3.5M NSF Grant

Aug 30, 2022
UChicago CS News

UChicago Hosts NSF Workshop on Frontiers of Quantum Advantage

Aug 15, 2022
UChicago CS News

New 2022-23 Faculty Add Expertise in Linguistics, Visualization, Economics, and Data Science Education

Aug 11, 2022
In the News

UChicago Co-Leads $10 Million NSF Institute on Foundations of Data Science

Aug 09, 2022
UChicago CS News

UChicago CS Faculty Receive Industry Grants From J.P. Morgan, Google

Jul 19, 2022
UChicago CS News

UChicago London Colloquium Features Data Science, Quantum Research

Jul 01, 2022

Is it Ethical to Use Facial Imaging in Decision-Making?

Jun 28, 2022
arrow-down-largearrow-left-largearrow-right-large-greyarrow-right-large-yellowarrow-right-largearrow-right-smallbutton-arrowclosedocumentfacebookfacet-arrow-down-whitefacet-arrow-downPage 1CheckedCheckedicon-apple-t5backgroundLayer 1icon-google-t5icon-office365-t5icon-outlook-t5backgroundLayer 1icon-outlookcom-t5backgroundLayer 1icon-yahoo-t5backgroundLayer 1internal-yellowinternalintranetlinkedinlinkoutpauseplaypresentationsearch-bluesearchshareslider-arrow-nextslider-arrow-prevtwittervideoyoutube