Efficient Request Queueing – Optimizing LLM Performance

Prefill and Decode for Concurrent Requests - Optimizing LLM Performance

How Long Prompts Block Other Requests - Optimizing LLM Performance

LLM Inference Under Bursty Workload Distribution: Modifying the WAIT Algorithm

arXiv:2608. 06135v1 Announce Type: new Abstract: Large Language Models (LLMs) such as ChatGPT and Claude are widely used for information retrieval and problem-solving.

Cascade: Exploiting SLO-Aware latency budget for fair and high goodput LLM inference serving

arXiv:2608. 06557v1 Announce Type: cross Abstract: The reasoning and agentic capabilities of large language models have expanded the range of applications they support, from short interactive exchanges to long, compute-heavy requests.

Towards Distributed Inference of LLMs on a P2P Network

arXiv:2606. 17059v1 Announce Type: cross Abstract: Prefix caching can reduce LLM inference latency by reusing KV caches across requests with shared prompts, but cluster-scale reuse is challenging because caches are partitioned across nodes.

LLMVisor: A Real-Time Latency Attribution Model for Multi-Tenant LLM Serving

arXiv:2608. 08382v1 Announce Type: new Abstract: As LLM inference shifts to multi-tenant GPU clusters, co-batching improves throughput but obscures per-tenant usage and limits control.