SC is the International Conference for
High Performance Computing, Networking,
Storage and Analysis

SCHEDULE: NOV 12-18, 2011

When viewing the Technical Program schedule, on the far righthand side is a column labeled "PLANNER." Use this planner to build your own schedule. Once you select an event and want to add it to your personal schedule, just click on the calendar icon of your choice (outlook calendar, ical calendar or google calendar) and that event will be stored there. As you select events in this manner, you will have your own schedule to guide you through the week.

You can also create your personal schedule on the SC11 app (Boopsie) on your smartphone. Simply select a session you want to attend and "add" it to your plan. Continue in this manner until you have created your own personal schedule. All your events will appear under "My Event Planner" on your smartphone.

An Integrated Job Scheduling Framework for Production Supercomputers

SESSION: Doctoral Research Showcase (2 of 2)

EVENT TYPE: Doctoral Research Showcase

TIME: 4:30PM - 4:45PM

SESSION CHAIR: Volodymyr Kindratenko

Presenter(s):Wei Tang


Job scheduling is essential on large-scale computing systems. While numerous research has been focused on improving job scheduling theoretically, our work is motivated by practical issues observed in current production supercomputers, caused by reasons such as user behaviors, emerging system architecture, and new workload characteristics. Further, several challenges are identified in building extreme scale supercomputers, such as reliability, I/O performance, and energy efficiency, which arguably can be mitigated by appropriate job scheduling strategies. In this study, we proposed an integrated job scheduling framework, aiming at addressing the issues and challenges in resource management for large-scale production supercomputers. We designed a set of new schemes and implemented it in a production resource manager. We conducted simulation-based evaluation using real job traces from production supercomputers. Experimental results show our schemes can effectively improve job scheduling regarding both user satisfaction and system utilization.

Chair/Presenter Details:

Volodymyr Kindratenko (Chair) - NCSA

Wei Tang - Illinois Institute of Technology

Add to iCal  Click here to download .ics calendar file

Add to Outlook  Click here to download .vcs calendar file

Add to Google Calendarss  Click here to add event to your Google Calendar

   Sponsors    ACM    IEEE