Analyzing Topology Parameters for Achieving Energy-Efficient k-ary n-cubes

Francisco J. Andújar, S. Coll, M. Alonso, Juan-Miguel Martínez, P. López, F. J. Alfaro, J. L. Sánchez, R. Martínez
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引用次数: 2

Abstract

Achieving an optimal performance/energy ratio is a challenge for massively parallel computer architects, and in particular for the interconnection network designers. The k-ary n-cube is one of the most popular topologies used in the largest current supercomputers. In this paper, we present a study that considers two alternatives to build k-ary n-cube topologies taking advantage of the high-radix switches currently available: a topology with more dimensions and one NIC per router, or a topology with less dimensions, link aggregation and several NICs per router. The fact of using link aggregation eases the implementation of simple power consumption reduction techniques. Using a simple power model, we evaluate by trace-driven simulation the impact on energy and performance of several network sizes for both topology proposals. In order to do a fair comparison, we keep fixed the theoretical network bandwidth.
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实现高能效k-ary n-立方体的拓扑参数分析
实现最佳的性能/能量比对于大规模并行计算机架构师来说是一个挑战,特别是对于互连网络设计人员来说。k元n立方是目前最大的超级计算机中最流行的拓扑结构之一。在本文中,我们提出了一项研究,考虑了利用当前可用的高基数交换机构建k-ary n-cube拓扑的两种替代方案:具有更多维度和每个路由器一个NIC的拓扑,或具有更少维度,链路聚合和每个路由器多个NIC的拓扑。使用链路聚合的事实简化了简单的降低功耗技术的实现。使用一个简单的功率模型,我们通过跟踪驱动仿真来评估两种拓扑方案对几种网络大小的能量和性能的影响。为了进行公平的比较,我们保持固定的理论网络带宽。
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Improving the Efficiency of Future Exascale Systems with rCUDA Evaluating Energy-Saving Strategies on Torus, K-Ary N-Tree, and Dragonfly VEF3 Traces: Towards a Complete Framework for Modelling Network Workloads for Exascale Systems Node-Type-Based Load-Balancing Routing for Parallel Generalized Fat-Trees Analyzing Topology Parameters for Achieving Energy-Efficient k-ary n-cubes
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