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.
Performance Modeling and Computational Quality of Service (CQoS) in Synergia2 Accelerator Simulations
SESSION: Research Poster Reception
EVENT TYPE: ACM Student Research Competition Poster, Poster, Electronic Poster
TIME: 5:15PM - 7:00PM
SESSION CHAIR: Bernd Mohr
AUTHOR(S):Steve Goldhaber, Stefan Muszala, James F. Amundson, Eric G. Stern, Nanbor Wang, Boyana Norris, Daihee Kim
ROOM:WSCC North Galleria 2nd/3rd Floors
ABSTRACT: High precision accelerator modeling is essential for particle accelerator design and optimization, however, this modeling presents a significant computational challenge. We present performance modeling and computational quality of service (CQoS) results from Synergia2, an advanced particle accelerator simulation code developed under the ComPASS SciDAC-2 accelerator modeling project. Understanding both strong and weak scaling behavior is crucial both to designing code optimizations and to adding new functionality. We ported Synergia2 both to linux clusters and to a BG/P system at Argonne. We then performed detailed profiling which led to a heuristic performance model for a benchmark simulation. The 3-D Hockney space charge solver was modeled in detail using a component-based approach as it represents the main scaling challenge. These processes helped identify performance bottlenecks and code optimizations. We applied CQoS methods to maintain optimal memory layout and used a component approach to maintain the required CQoS in the space charge solver.
Bernd Mohr (Chair) - Juelich Supercomputing Centre
Steve Goldhaber - Tech-X Corporation
Stefan Muszala - Tech-X GmbH
James F. Amundson - Fermi National Laboratory
Eric G. Stern - Fermi National Laboratory
Nanbor Wang - Tech-X Corporation
Boyana Norris - Argonne National Laboratory
Daihee Kim - State University of New York at Binghamton