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.
M03: Supporting Code Development on Extreme-scale Computer Systems
SESSION: M03: Supporting Code Development on Extreme-scale Computer Systems
EVENT TYPE: Tutorial
TIME: 8:30AM - 12:00PM
Presenter(s):Martin Schulz, Bernd Mohr, Brian Wylie
ROOM:
ABSTRACT: The number of processor cores available in high-performance computing systems is steadily increasing. In the Jun 2011 list of the TOP500 supercomputers, all but two of the systems listed have more than 2000 processor cores and the average system has over 15,000 cores. While these machines promise ever more aggregate compute power and memory capacity to tackle today's complex simulation problems, they force application developers to greatly enhance the scalability of their codes to be able to exploit it. To better support them in their porting and tuning process, many parallel tools research groups have already started to work on scaling their methods, techniques and tools to extreme processor counts. In this tutorial, we survey existing debugging, profiling and tracing tools, demonstrate selected tools, report on our experience in using them in extreme scaling environments, review existing working and promising new methods and techniques, and discuss strategies for addressing unsolved issues and problems.
Chair/Presenter Details:
Martin Schulz - Lawrence Livermore National Laboratory