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ChonLam Lao

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titleconferencedate
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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eTran: Extensible Kernel Transport with eBPFNSDI '252025-04-28
eTran extends eBPF to create an extensible in-kernel transport that adds new XDP hooks and a packet Q BPF map for queuing, plus XDP egress and XDP gym to…
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THC: Accelerating Distributed Deep Learning Using Tensor Homomorphic Compression21st USENIX Symposium on Networked Systems Design and Implementation (NSDI '24)2024-04-16
Proposes Tensor Homomorphic Compression that makes compressed gradients directly summable (homomorphic property) so parameter servers or programmable switches…
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ATP: In-network Aggregation for Multi-tenant LearningNSDI ’212021-04-12
Claims up to 38–66% training throughput improvement for multi-tenant distributed DNN jobs by moving gradient aggregation into programmable switches. Implements…
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