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.
Characterizing the Impact of Memory-Access Techniques on AMD Fusion
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):Kenneth Lee, Heshan Lin, Wu-chun Feng
ROOM:WSCC North Galleria 2nd/3rd Floors
ABSTRACT: The cost of data transfers over PCI-Express often limits application performance on traditional discrete GPUs. To address this, AMD Fusion introduces a novel architecture that fuses the CPU and GPU onto a single die and connects the two with a high-performance memory controller. This architecture features a shared memory space between CPU and GPU, enabling several new memory access techniques that are not available on discrete architectures. For instance, a kernel running on the GPU can now directly access a host memory buffer and vice versa. As an initial step towards understanding the implications of the fused CPU+GPU architecture to heterogeneous computing, we characterize the performance impact of various memory-access techniques on applications running on an AMD Fusion platform (i.e., Zacate E350). The experimental results show that AMD Fusion can outperform a discrete GPU with equivalent processing power by as much as 1.4-fold for a memory-bound kernel.
Bernd Mohr (Chair) - Juelich Supercomputing Centre