Multi-User Centered Resource Scheduling for Large Scale Display Wall Environment (PhD Defense)
EVL Cyber-Commons running a collaborative work session. - L. Long, EVL
Participants: Sungwon Nam, Committee: Jason Leigh (Chair), Andrew Johnson, Robert Kenyon, Luc Renambot (UIC), Venkatram Vishwanath (Argonne National Lab)
842 West Taylor, Room 2068
Chicago, IL 60607
EVL PhD candidate Sungwon Nam presents his thesis dissertation describing a resource scheduling scheme for collaborative large display wall environments.
11:15 am, Wednesday, March 6, 2013
The popularity of large-scale, high-resolution display walls, as visualization endpoints in eScience infrastructure, is rapidly growing. These displays can be connected to distributed computing resources over high-speed networks, providing an effective means for researchers to visualize, interact with, and understand large volumes of data. Typically, large display walls are built by tiling multiple physical displays together and driving the display with a cluster of computers. With the advent of advanced graphics hardware, a single computer can now drive over a dozen displays, thereby greatly reducing the cost of ownership and maintenance of a tiled display wall system. This in turn enables a broader user base to take advantage of such technologies. Since tiled display walls are also well suited to collaborative work, users tend to launch and operate multiple applications simultaneously. To ensure that applications maintain a high degree of responsiveness to the users, even under heavy use loads, the display wall must now ensure that the limited system resources are prioritized to maximize interactivity rather than thread-level fair sharing or overall job-completion throughput. In this dissertation, the author presents a new resource scheduling scheme that is specifically designed to prioritize responsiveness in collaborative large display wall environments where multiple users can interact with multiple applications simultaneously.
Date: March 6, 2013
Document: Multi-User Centered Resource Scheduling for Large Scale Display Wall Environments