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.
EVENT TYPE: ACM Student Research Competition Poster, Poster, Electronic Poster
TIME: 5:15PM - 7:00PM
SESSION CHAIR: Bernd Mohr
AUTHOR(S):Sivasankaran Rajamanickam, Erik G. Boman, Michael A. Heroux
ROOM:WSCC North Galleria 2nd/3rd Floors
ABSTRACT: With the increasing complexity of compute nodes, it is helpful to exploit multiple levels of parallelism even within a single compute node.
We present ShyLU, a "hybrid-hybrid" solver for general sparse linear systems
that is hybrid in two ways: First, it combines direct and iterative methods. The iterative method
is based on approximate Schur complements. Second, the solver uses two
levels of parallelism via hybrid programming (MPI+threads).
Our solver is useful both in shared-memory environments and on large parallel computers with distributed memory (as a subdomain solver).
We show the robustness of ShyLU against other algebraic preconditioners. ShyLU scales well up to 192 cores for a given problem size. We compare flat MPI performance
of ShyLU against a hybrid implementation. We conclude that on present multicore nodes flat MPI is better. However, for future manycore machines (48 or more cores)
hybrid/ hierarchical algorithms and implementations are important for sustained performance.
Bernd Mohr (Chair) - Juelich Supercomputing Centre
Sivasankaran Rajamanickam - Sandia National Laboratories