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SIGCOMM'26: Orchestrating Heterogeneous Geo-Distributed Training with Network-Aware Scheduling
RDMA over Ethernet for Distributed AI Training at Meta Scale (SIGCOMM'24, Paper 246)
SIGCOMM'26: LEVELLER
SIGCOMM'26: Balancing and Beyond: Communication-Centric Optimizations in Expert Parallelism
SIGCOMM'26: Evolution of AliYANG: Model-driven and LLM-assisted Network Configuration Management
SIGCOMM'26: A Disaggregated DPU Architecture for High-Performance and Cost-Efficient AI Clouds
SIGCOMM'25: Network Architectures & Satellites - From ATOP to ZCube
SIGCOMM'26: Non-paper Session Networking and Systems Problems in Distributed LLM Serving
SIGCOMM'26: Connex: Endpoint Mobility Primitives for Dynamic LLM Serving
SIGCOMM'25: Networking for Stateful LLM Inference (online tutorial)
Stanford CS231N | Spring 2025 | Lecture 11: Large Scale Distributed Training
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Last Updated: September 6, 2026
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Communication-Efficient Scaling of LLM Training with a 2048K Context Length on 16384 GPUs Good morning i'm Tino today I will present go orchestra orchestrating heterogeneous geo distribute ... this this gap consider three jobs containing for link jobs one and two are Hello everyone i am Jachi Gal from Alibaba cloud and today I will present balancing and beyond ... behind deterministic validation and the system have has been deployed for more than three years at a very ... different hardware and the control From ATOP to ZCube: Automated Topology Optimization Pipeline and A Highly Cost-Effective Network Topology for Okay um good morning everybody um welcome to this uh non-paper session on beyond ... insightful i was wondering how this mobility contract is being held for XCS231N Deep Learning for Computer Vision, the professional education version of the graduate course CS231N Deep ...
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