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PRODID:-//Microsoft Corporation//Outlook MIMEDIR//EN
VERSION:1.0
BEGIN:VEVENT
DTSTART:20111116T011500Z
DTEND:20111116T030000Z
LOCATION:WSCC North Galleria 2nd/3rd Floors
DESCRIPTION;ENCODING=QUOTED-PRINTABLE: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.
SUMMARY:Characterizing the Impact of Memory-Access Techniques on AMD Fusion
PRIORITY:3
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