3 papers
cs.CL2025
CAKE: Cascading and Adaptive KV Cache Eviction with Layer Preferences
Ziran Qin, Yuchen Cao, Mingbao Lin +5
Large language models (LLMs) excel at processing long sequences, boosting demand for key-value (KV) caching. While recent efforts to evict KV cache have alleviated the inference bu…
cs.DC2025
Slice-Level Scheduling for High Throughput and Load Balanced LLM Serving
Ke Cheng, Wen Hu, Zhi Wang +3
Large language models (LLMs) iteratively generate text token by token, with memory usage increasing with the length of generated token sequences. Since the request generation lengt…
cs.DC2025
SCOOT: SLO-Oriented Performance Tuning for LLM Inference Engines
Ke Cheng, Zhi Wang, Wen Hu +3
As large language models (LLMs) are gaining increasing popularity across a wide range of web applications, it is of great importance to optimize service-level objectives (SLOs) for…