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As researchers continue to architect massive-scale systems, it is becoming clear that these systems will utilize a significant amount of shared hardware between processing units. Systems such as the IBM Blue Gene (BG) and Cray XT have started utilizing flat (i.e., scalable) networks, which differ from switched fabrics in that they use a 3D torus or similar topology. This allows the network to grow only linearly with system scale, instead of the super linear growth needed for full fat-tree switched topologies, but at the cost of increased network sharing between processing nodes. While in many cases a full fat-tree is an over estimate of the needed bisectional bandwidth, it is not clear whether the other extreme of a flat topology is sufficient to move data around the network efficiently. In this paper, we study the network behavior of the IBM BG/P using several application communication kernels, and we monitor network congestion behavior based on detailed hardware counters. Our studies scale from small systems to 8 racks (32,768 cores) of BG/P and provide insights into the network communication characteristics of the system.