3 papers
cs.DC2026
Speculation at a Distance: Where Edge-Cloud Speculative Decoding Actually Pays Off
Yuan Lyu, Bharath Irukulapati, Jaya Prakash Champati
Speculative decoding (SD) accelerates LLM inference by - times when the draft and target models are co-located. This has motivated a distributed variant (DSD) that places t…
cs.DC2026
Tackling the Data-Parallel Load Balancing Bottleneck in LLM Serving: Practical Online Routing at Scale
Tianci Bu, Yuan Lyu, Zixi Chen +6
Data-parallel (DP) load balancing has emerged as a first-order bottleneck in large-scale LLM serving. When a model is sharded across devices via tensor parallelism (TP) or expert p…
hep-ex2026
Sensitivity Projections for Low-Mass Dark Matter Annihilation with the IceCube Upgrade
R. Abbasi, M. Ackermann, J. Adams +412
The IceCube Upgrade, an extension designed to enhance the IceCube Neutrino Observatory's detection of neutrinos with energies between 1 GeV and 500 GeV, will markedly improve IceCu…