5 citations · 9 across the 13 of their papers we have counts for
4 papers · 2 filters
KunServe: Parameter-centric Memory Management for Efficient Memory Overloading Handling in LLM Serving
Rongxin Cheng, Yuxin Lai, Xingda Wei +2
Serving LLMs with a cluster of GPUs is common nowadays, where the serving system must meet strict latency SLOs required by applications. However, the stateful nature of LLM serving…
BLITZSCALE: Fast and Live Large Model Autoscaling with O(1) Host Caching
Dingyan Zhang, Haotian Wang, Yang Liu +4
Model autoscaling is the key mechanism to achieve serverless model-as-a-service, but it faces a fundamental trade-off between scaling speed and storage/memory usage to cache parame…
Characterizing the Dilemma of Performance and Index Size in Billion-Scale Vector Search and Breaking It with Second-Tier Memory
Rongxin Cheng, Yifan Peng, Xingda Wei +4
Vector searches on large-scale datasets are critical to modern online services like web search and RAG, which necessity storing the datasets and their index on the secondary storag…
PhoenixOS: Concurrent OS-level GPU Checkpoint and Restore with Validated Speculation
Xingda Wei, Zhuobin Huang, Tianle Sun +5
PHOENIXOS (PHOS) is the first OS service that can concurrently checkpoint and restore (C/R) GPU processes--a fundamental capability for critical tasks such as fault tolerance, proc…