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.
ABSTRACT: The growing need for power efficient extreme-scale high-performance computing coupled with plateauing clock-speeds is driving the emergence of massively parallel compute architectures. For example, many-core graphics processing units (GPUs) offer thousands of SIMD cores primarily designed for image and video rendering are used for high-performance scientific computations. The new architectures typically offer ANSI standard programming models such as CUDA (NVIDIA) and OpenCL. However, the wide-ranging adoption of the parallel architectures requires reengineering of existing libraries leading to expensive and error-prone code rewrites with no guarantee of speedups.
We use GPU-aware AMR based common-codebase, GAMER, to examine the unique approach of solving multi-science problems in astrophysics, hydrodynamics and particle physics. We demonstrate significant speedups in broad and disparate class of scientific applications. By extensively reusing the extendable single common-codebase we mitigate the impediments of significant code rewrites on NVIDIA C2050 GPU and Intel 8-core Nehalem CPU on Dirac cluster at NERSC.
Hemant Shukla - Lawrence Berkeley National Laboratory