2 citations · 4 across the 6 of their papers we have counts for
6 papers
Adaptive Context Parallelism for Production LLM Serving
Jiarui Guo, Rongle Wang, Peijun Huang +7
As LLM context windows expand and input sequences grow longer, serving systems face increasing computational and memory demands. Context parallelism (CP), which partitions the inpu…
XBOF: A Cost-Efficient CXL JBOF with Inter-SSD Compute Resource Sharing
Shushu Yi, Yuda An, Li Peng +11
Enterprise SSDs integrate numerous computing resources (e.g., ARM processor and onboard DRAM) to satisfy the ever-increasing performance requirements of I/O bursts. While these res…
Asterinas: A Linux ABI-Compatible, Rust-Based Framekernel OS with a Small and Sound TCB
Yuke Peng, Hongliang Tian, Zhang Junyang +10
How can one build a feature-rich, general-purpose, Rust-based operating system (OS) with a minimal and sound Trusted Computing Base (TCB) for memory safety? Existing Rust-based OSe…
Memory Offloading for Large Language Model Inference with Latency SLO Guarantees
Chenxiang Ma, Zhisheng Ye, Hanyu Zhao +9
Offloading large language models (LLMs) state to host memory during inference promises to reduce operational costs by supporting larger models, longer inputs, and larger batch size…
A Novel Extensible Simulation Framework for CXL-Enabled Systems
Yuda An, Shushu Yi, Bo Mao +8
Compute Express Link (CXL) serves as a rising industry standard, delivering high-speed cache-coherent links to a variety of devices, including host CPUs, computational accelerators…
InstInfer: In-Storage Attention Offloading for Cost-Effective Long-Context LLM Inference
Xiurui Pan, Endian Li, Qiao Li +6
The widespread of Large Language Models (LLMs) marks a significant milestone in generative AI. Nevertheless, the increasing context length and batch size in offline LLM inference e…