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.
System-Level Monitoring of Floating-Point Performance to Improve Effective System Utilization
SESSION: State of the Practice - Performance II
EVENT TYPE: State of the Practice
TIME: 2:00PM - 2:30PM
SESSION CHAIR: Yunquan Zhang
AUTHOR(S):Davide Del Vento, Thomas Engel, Siddhartha S. Ghosh, David L. Hart, Rory Kelly, Si Liu, Richard Valent
ABSTRACT: NCAR’s Bluefire supercomputer is instrumented with a set of low-overhead processes that continually monitor the floating-point counters of its 3,840 batch-compute cores. We extract performance numbers for each batch job by correlating the data from corresponding nodes. From experience and heuristics for good performance, we use this data, in part, to identify poorly performing jobs and then work with the users to improve their job’s efficiency. Often, the solution involves simple steps such as spawning an adequate number of processes or threads, binding the processes or threads to cores, using large memory pages, or using adequate compiler optimization. These efforts typically result in performance improvements and a wall-clock runtime reduction of 10% to 20%. With more involved changes to codes and scripts, some users have obtained performance improvements of 40% to 90%. We discuss our instrumentation, some successful cases, and its general applicability to other systems.
Yunquan Zhang (Chair) - Lab. of Parallel Computing, ISCAS
Davide Del Vento - National Center for Atmospheric Research
Thomas Engel - National Center for Atmospheric Research
Siddhartha S. Ghosh - National Center for Atmospheric Research
David L. Hart - National Center for Atmospheric Research
Rory Kelly - National Center for Atmospheric Research
Si Liu - National Center for Atmospheric Research
Richard Valent - National Center for Atmospheric Research