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Netdev 0x1A - Performance Comparison of Transport Mechanisms for LLM Inference KVCache Transfers
Netdev 0x1A - Kernel shared memory socket transport
Netdev 0x1A - TCP State of the union (2026)
Netdev 0x1A - Networking Headless CXL Devices for AI Memory Services
Netdev 0x1A - improving debuggability of nommu code with UML
Netdev 0x1A - MACsec-Protected RDMA on DPUs: From Linux Netdev State to Workload Scheduling
Netdev 0x1A - Accelerating Software RDMA (RXE) with Netkit and Devmem
Netdev 0x1A - Promise Networks: Why a Bilateral Link Layer Solves Congestion Control at the Source
Netdev 0x1A - Why Syscalls Fail: Bilateral Commit at the Linux Kernel/Userspace Boundary
Netdev 0x1A - Closing Remarks
Netdev 0x1A - The CXL Fabric End-Game: Bandwidth Realities and Networked Memory for AI Scale
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Last Updated: September 27, 2026
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Keynote by Kroah-Hartman presenting the history of Talk by Long presenting a Linux Talk by Goffart, Wansart, and Donnet presenting a Jamal hosted a BoF exploring AI and Talk by Salim, Tammela, and Nogueira presenting a GPU emulation technique using mathematical equations to generate realistic ... Talk by Wei presenting a proposal for Talk by Dumazet presenting recent and upcoming TCP changes in the Linux Talk by Inavolu and Agarwal presenting a Linux virtual-interface path built using TUN and shared CXL memory rings to give ... Talk by Tazaki presenting the addition of nommu mode to User Mode Linux (UML) to improve testability of CONFIG_MMU=n ... Talk by hasan and Inavolu presenting an architecture that carries DPU-side MACsec datapath state into the host-visible RDMA ... Talk by Yanjun.Zhu presenting an optimized shortened data path for software RDMA (RXE) that leverages netkit as a ... Talk by Singhai-Jain, Chang, Borrill, and Zage arguing that packet drops cause congestion, transaction loss, and coherence ... Talk by Singhai and Borrill presenting the The Closing session. Thanks to everyone who made Talk by Waskiewicz examining the severe bandwidth bottleneck in CXL memory fabric architectures for large-scale AI, challenging ...
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