Author

S. Shenker

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Preprint Oct 2026

Ofan: Optimal Load Balancing for AI Training

The extreme collective completion time (CCT) demands of AI workloads challenge existing packet spraying algorithms, which can have trouble efficiently load-balancing workloads that are sent at full line rates. We trace this to a structural cause: on a fat tree, once a packet picks its upward path, the downward path to...

Sarah McClure, E. Cohen, Jakob Krebs et al. · 0 citations

#machine learning Preprint Sep 2026

Token Latency Fairness: Performance Isolation for Multi-Tenant LLM Serving

FairInference provides the novelelta-token fairness guarantee: for a well-behaved client, if a token is generated in d time units in isolation, it will be generated within d + {\delta} time units in multi-tenant execution, providing strong latency isolation guarantees for LLM serving.

Dev Bali, Soujanya Ponnapalli, Yi-Chu Wang et al. · 0 citations

#artificial intelligence Preprint Sep 2026

mKernel: Fast Multi-GPU, Multi-Node Fused Kernels

Communication has become a bottleneck in distributed training and inference of large models. Overlapping communication with computation at the granularity of kernels, on separate streams, reduces only part of this communication cost. Fused kernels often have better performance by transmitting each output tile as soon a...

Zi-Ming Mao, Yi-Han Zhang, S. W. Chew et al. · 0 citations