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Jiaqi Gao

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TrainMover: An Interruption-Resilient Runtime for ML Training20th USENIX Symposium on Operating Systems Design and Implementation (OSDI '26)2026-07-13
TrainMover is an ML training runtime that prepares standby GPUs ahead of interruptions by pre-recording output tensors and running communication-free sandboxed…
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OSCAR: O(1)-Step Convergence and Readily-deployable Congestion ControlNSDI '262026-05-04
Claims O(1)-step convergence using end-to-end signals rather than INT, implements MIMD updates by estimating delay gradient via batch slope fitting with a…
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SimAI: Unifying Architecture Design and Performance Tuning for Large-Scale Large...NSDI '252025-04-28
SimAI claims a unified, high‑precision LLM training simulator that matches real runs 98.1% alignment by hijacking training frameworks (Megatron, DeepSpeed)…
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Alibaba HPN: A Data Center Network for Large Language Model TrainingNetworking @Scale 20242024-09-11
A purpose-built 2-tier, dual-plane datacenter fabric connects segments of up to 1,000 accelerators per segment and scales to 130k accelerators using 51.2 Tbps…
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Sirius: Composing Network Function Chains into P4-Capable Edge Gateways21st USENIX Symposium on Networked Systems Design and Implementation (NSDI '24)2024-04-16
System composes dozens of distinct NF chains into a single P4 program, synthesizing traffic identification tables, pipelining loops via recirculations, and…
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Cetus: Releasing P4 Programmers from the Chore of Trial and Error Compiling19th USENIX Symposium on Networked Systems Design and Implementation (NSDI '22)2022-04-04
NSDI '22 - Cetus: Releasing P4 Programmers from the Chore of Trial and Error Compiling Yifan Li, Tsinghua University and Alibaba Group; Jiaqi Gao, Ennan Zhai…
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