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Reducing the Interconnection Length for 3D Fault-Tolerant Processor Arrays

机译:减少3D容错处理器阵列的互连长度

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The three-dimensional (3D) processor array has benefits of reducing interconnection latency, consuming less power and improving bandwidths compared to 2D processor arrays. However, it suffers from frequent faults due to power overheating during massively parallel computing. To achieve fault-tolerance under such a such a scenario, an effective method is to construct a non-faulty sub-array from the faulty array as large as possible, such that the original application can still work on the sub-array. However, logical sub-arrays produced by previous works contain large number of long interconnects, which leads to more communication cost, capacitance and dynamic power dissipation. In this paper, we investigate the problem of reducing the interconnection length of a logical array. First, we prove that it is a NP-hard problem. Then we propose an efficient heuristic to reduce the interconnection redundancy of a logical array by reducing the number of long interconnects in each logical plane. Each logical plane is optimized based on statistical information. Experimental results show that, on 32 × 32 × 32 host array with fault densities ranging from 0.1% to 5%, the proposed algorithm is capable of reducing the interconnection length by 49.7% and 29.8% in average compared to the existing algorithm GPR and CAR, respectively.
机译:与2D处理器阵列相比,三维(3D)处理器阵列具有减少互连等待时间,消耗更少的功率并改善带宽的优势。但是,由于大规模并行计算过程中的电源过热,它经常出现故障。为了在这种情况下实现容错,一种有效的方法是从故障阵列中构建尽可能大的无故障子阵列,以使原始应用程序仍可以在该子阵列上工作。然而,先前工作产生的逻辑子阵列包含大量的长互连,这导致更多的通信成本,电容和动态功耗。在本文中,我们研究了减少逻辑阵列的互连长度的问题。首先,我们证明这是一个NP难题。然后,我们提出了一种有效的启发式方法,通过减少每个逻辑平面中长互连的数量来减少逻辑阵列的互连冗余。每个逻辑平面均基于统计信息进行优化。实验结果表明,与现有算法GPR和CAR相比,在故障密度为0.1%至5%的32×32×32主机阵列上,该算法能够将互连长度平均缩短49.7%和29.8% , 分别。

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