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.
SESSION: S15: Understanding Intel Parallel Building Blocks
EVENT TYPE: Tutorial
TIME: 8:30AM - 5:00PM
Presenter(s):Michael McCool, Arch Robison, James Reinders
ABSTRACT: Developers need a comprehensive set of strategies and technologies for tackling parallel programming. Intel Parallel Building Blocks is such a comprehensive set of technologies, and includes Threading Building Blocks (now extremely popular), Cilk (from MIT), and Array Building Blocks (from RapidMind). PBB supports a set of sophisticated and structured parallel programming strategies. Many patterns of parallel computation are supported from fork-join parallelism to collective vector operations. PBB supports multiple hardware mechanisms for performance through parallelism, including vectorization (SIMD instructions), multicore, and co-processor offload. Static and dynamic compilation are available.
We introduce PBB and demonstrate detailed usage through a number of examples. Examples cover a range of algorithmic patterns and application domains, including scientific computation, finance, and imaging. Since PBB integrates a number of different programming paradigms, multiple approaches to solving the same problems are compared. Includes live demonstrations of build processes, performance and scalability analysis, and performance optimization.