Anytest, an in-situ black-box testing tool that localizes root causes of transport-layer NPAs on commodity RoCEv2 RNICs and Ethernet switches without re-cabling or hardware modification, and implements Anytest's DPDK-based endpoints, which realize protocol correctness while enforcing μs-level packet timing at the hardware line rate.
Zhaochen Zhang, Jiaqi Gao, Sheng Cheng et al.· Conference on Applications,...· 0 citations
CubeTrace is presented, a unified, function-level flow tracing system that enables microscopic tracing inside heterogeneous cloud gateways and introduces minimal overhead, consuming less than 1% of memory resources and adding less than 1% to forwarding latency.
Yunming Xiao, Yinchao Yang, Jiaqi Zheng et al.· Conference on Applications,...· 1 citation
Torus networks are deployed in production AI training clusters for their path diversity and low latency, but 2D Torus scales poorly: electrical packet switches compromise latency, and high-dimensional Torus introduces excessive routing complexity. We present STON (Scalable TOrus Network), a hierarchical architecture that treats a 2D Torus as a supernode and interconnects supernodes with a reconfigurable Optical Circuit Switch (OCS) for AlltoAll-dominated large-scale training networks. STON comprises three coordinated modules: (1) fragmentaware task placement, which minimizes inter-supernode traffic by reducing job fragmentation; (2) non-disruptive logical topology mapping, governed by two principles that prevent OCS reconfiguration from disrupting running tasks or partitioning multisupernode jobs; and (3) compute-phase traffic forwarding, which ensures reachability when direct OCS circuits are unavailable. STON reduces average FCT by 42.2%-61.1% across synthetic workloads and by 52.6% on a one-day Kalos production trace (under an AlltoAll traffic model for all jobs), with 95th-percentile tail latency reduced by up to 74.5%, versus a static direct-connect baseline using the same OCS hardware.
Qinwei Yang, Peirui Cao, Ruyi Zhang et al.· Fall Joint Computer Conferen...· 0 citations
BCE is presented, a GPU-co-designed, block-centric engine that makes range-top-k efficient by exposing a reusable intermediate representation of the data, and achieves sub-millisecond query latency and up to 308 × higher throughput than state-of-the-art GPU baselines, while performing billion-scale dynamic updates in milliseconds.
Chengying Huan, Ziheng Meng, Zhengyi Yang et al.· IEEE International Symposium...· 0 citations
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