SCHEDULE: NOV 12-18, 2011

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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.

Chair/Author Details:

Bernd Mohr (Chair) - Juelich Supercomputing Centre

Kenneth Lee - Virginia Tech

Heshan Lin - Virginia Tech

Wu-chun Feng - Virginia Tech

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