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SIGCOMM'26: STORM: Enabling Traffic Scheduling for RDMA
SIGCOMM'26: Theseus: Runtime-Adaptive GPU Collective Communication with Hot-Swappable Schedules
SIGCOMM'26: InfiniFlow
SIGCOMM'26: Orchestrating Heterogeneous Geo-Distributed Training with Network-Aware Scheduling
SIGCOMM'26: Queueless and Dropless Rate Control
SIGCOMM'26: Understanding and Profiling the Accelerator Chiplet Network Using PingPoint
SIGCOMM'26: Planogram: A Multi-dimensional Physical Location Planning System for DC Networks
SIGCOMM'26: Balancing and Beyond: Communication-Centric Optimizations in Expert Parallelism
SIGCOMM'26: MonkeyTree: Near-Minimal Congestion for Multi-tenant Training via Migration
SIGCOMM'26: OptCCL: Scalable Synthesis of Optimal Collective Communication Algorithms
SIGCOMM'26: Zero-Knowledge Cloud Analytics
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Last Updated: September 18, 2026
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First we show how to achieve fair shell to strict Hi thank you for your presentation so I was wondering since there is a ... optimization so basically we first we we do not consider routing we assume uh the default routing and for ... slow down by a factor of two with size aware ... nick while all other three nicks sit idle So the balance Combines both buffer allocation and retocation in theuler with runroin ... present go orchestra orchestrating heterogeneous geo distribute training with network aware ... capacities and also intermediate hopes and routers for traffic management congestion control and ... every single rack um and and uh we looked into how much we saved our runtime by Okay hello everyone uh to start this session which is going to be on a very interesting topic in order to ... because it contains sensitive information such as IPS customer identifiers and business
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