7 papers
TeleRAG: Efficient Retrieval-Augmented Generation Inference with Lookahead Retrieval
Chien-Yu Lin, Keisuke Kamahori, Yiyu Liu +11
Retrieval-augmented generation (RAG) extends large language models (LLMs) with external data sources to enhance factual correctness and domain coverage. Modern RAG pipelines rely o…
VoxServe: Streaming-Centric Serving System for Speech Language Models
Keisuke Kamahori, Wei-Tzu Lee, Atindra Jha +4
Deploying modern Speech Language Models (SpeechLMs) in streaming settings requires systems that provide low latency, high throughput, and strong guarantees of streamability. Existi…
AgentFlux: Decoupled Fine-Tuning & Inference for On-Device Agentic Systems
Rohan Kadekodi, Zhan Jin, Keisuke Kamahori +5
The deployment of Large Language Models (LLMs) as agentic orchestrators has revolutionized task automation, but the need for privacy-preserving, cost-effective solutions demands on…
Jenga: Responsive Tiered Memory Management without Thrashing
Rohan Kadekodi, Haoran Peng, Gilbert Bernstein +2
A heterogeneous memory has a single address space with fast access to some addresses (a fast tier of DRAM) and slow access to other addresses (a capacity tier of CXL-attached memor…
ConsumerBench: Benchmarking Generative AI Applications on End-User Devices
Yile Gu, Rohan Kadekodi, Hoang Nguyen +3
The recent shift in Generative AI (GenAI) applications from cloud-only environments to end-user devices introduces new challenges in resource management, system efficiency, and use…
Scalable and Accurate Application-Level Crash-Consistency Testing via Representative Testing
Yile Gu, Ian Neal, Jiexiao Xu +7
Crash consistency is essential for applications that must persist data. Crash-consistency testing has been commonly applied to find crash-consistency bugs in applications. The cras…