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    Wu Feng

    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... more
    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., Llano A8-3850). The experimental results show that AMD Fusion can outperform a discrete GPU of the same performance class by as much as 4-fold for a memory-bound kernel.
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    Computational neuroscience is being revolutionized with the advent of multi-electrode arrays that provide real-time, dynamic perspectives into brain function. Mining neuronal spike streams from these chips is critical to understand the... more
    Computational neuroscience is being revolutionized with the advent of multi-electrode arrays that provide real-time, dynamic perspectives into brain function. Mining neuronal spike streams from these chips is critical to understand the firing patterns of neurons and gain insight into the underlying cellular activity. To address this need, we present a solution that uses a massively parallel graphics processing unit (GPU) to mine the stream of spikes. We focus on mining frequent episodes that capture coordinated events ...
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    ABSTRACT

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