The rapid increases in data-intensive applications demand for more powerful parallel computing systems capable of parallel processing a large amount of data more efficiently and effectively. While GPU-based systems are commonly used in such parallel processing, the exponentially rising data volume can easily saturate the capacity of the largest possible GPU processor. One possible solution is to exploit multi-GPU systems. In a multi-GPU system, the main bottleneck is the interconnect, which is currently based on PCIe or NVLink technologies. In this study, we propose to optically interconnect multiple GPUs using Flex-LIONS, an optical all-to-all reconfigurable interconnect. By exploiting the multiple free spectral ranges (FSRs) of Flex-LIONS, it is possible to adapt (or steer) the inter-GPU connectivity to the traffic demands by reconfiguring the optical connectivity of one FSR while maintaining fixed all-to-all connectivity of another FSR. Simulation results show the benefits of the proposed reconfigurable bandwidth-steering interconnect solution under various traffic patterns of different applications. Execution time reductions by up to 5× have been demonstrated in this study including two applications of convolution and maxpooling .

中文翻译：

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适用于可重新配置的多GPU系统的Silicon Photonic Flex-LIONS

数据密集型应用程序的迅速增长，需要更强大的并行计算系统，这些系统能够更有效地并行处理大量数据。尽管基于GPU的系统通常用于此类并行处理，但指数级增长的数据量却很容易使最大可能的GPU处理器的容量饱和。一种可能的解决方案是利用多GPU系统。在多GPU系统中，主要瓶颈是互连，该互连目前基于PCIe或NVLink技术。在这项研究中，我们建议使用Flex-LIONS，即一种光学到全部可重新配置的互连，将多个GPU光学互连。通过利用Flex-LIONS的多个自由光谱范围（FSR），通过重新配置一个FSR的光连接性，同时保持另一FSR的固定所有连接性，可以使GPU间的连接适应（或引导）流量需求。仿真结果表明，在不同应用的各种流量模式下，所提出的可重构带宽控制互连解决方案的好处。在这项研究中，执行时间最多减少了5倍，其中包括两种应用卷积 和 最大池 。