3 papers
cs.DC2025
FineServe: Precision-Aware KV Slab and Two-Level Scheduling for Heterogeneous Precision LLM Serving
Kyungmin Bin, Seungbeom Choi, Jimyoung Son +6
Recent advances in Post-Training Quantization (PTQ) techniques have significantly increased demand for serving quantized large language models (LLMs), enabling higher throughput an…
cs.LG2025
FireQ: Fast INT4-FP8 Kernel and RoPE-aware Quantization for LLM Inference Acceleration
Daehyeon Baek, Jieun Choi, Jimyoung Son +5
As large language models become increasingly prevalent, memory bandwidth constraints significantly limit inference throughput, motivating post-training quantization (PTQ). In this…
cs.DC2025
ELIS: Efficient LLM Iterative Scheduling System with Response Length Predictor
Seungbeom Choi, Jeonghoe Goo, Eunjoo Jeon +2
We propose ELIS, a serving system for Large Language Models (LLMs) featuring an Iterative Shortest Remaining Time First (ISRTF) scheduler designed to efficiently manage inference t…