Background of Sigcomm 26 Zipccl
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SIGCOMM'26: A Disaggregated DPU Architecture for High-Performance and Cost-Efficient AI Clouds
SIGCOMM'26: Queueless and Dropless Rate Control
SIGCOMM'26: InfiniFlow
SIGCOMM'26: Connecting 100K+ GPUs: Building the Communication Stack for Large-Scale LLM Training
SIGCOMM'26: Rethinking Transparent TCP Replacement: Practical Lessons from SMC-R in the Cloud
SIGCOMM'26: Measuring NIC-less Scale-Up Network through GPU Communication Kernel Profiling
SIGCOMM'26: Credit-Guided Congestion Control on Wafer-Scale On-Chip Networks for Molecular Dynamics
SIGCOMM'26: Balancing and Beyond: Communication-Centric Optimizations in Expert Parallelism
SIGCOMM'26: Tuning into the Web: A Low-Cost Access Solution for Developing Countries
SIGCOMM'26: LEVELLER
SIGCOMM'26: SAGE: A Real-Time AI System for Reducing Latency in NextG Cellular Networks
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Last Updated: September 18, 2026
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Summary
This is the core theoretical contribution of
