activity
20192026
most citedOcclum: Secure and Efficient Multitasking Inside a Single Enclave of Intel SGX

144 citations · 149 across the 13 of their papers we have counts for

collaborators
Showing 2025Show all

7 papers · 1 filter

cs.OS2025

Sharpen the Spec, Cut the Code: A Case for Generative File System with SYSSPEC

Qingyuan Liu, Mo Zou, Hengbin Zhang +3

File systems are critical OS components that require constant evolution to support new hardware and emerging application needs. However, the traditional paradigm of developing feat…

cs.LG2025

History Rhymes: Accelerating LLM Reinforcement Learning with RhymeRL

Jingkai He, Tianjian Li, Erhu Feng +5

With the rapid advancement of large language models (LLMs), reinforcement learning (RL) has emerged as a pivotal methodology for enhancing the reasoning capabilities of LLMs. Unlik…

cs.AR2025

Topology-Aware Virtualization over Inter-Core Connected Neural Processing Units

Dahu Feng, Erhu Feng, Dong Du +4

With the rapid development of artificial intelligence (AI) applications, an emerging class of AI accelerators, termed Inter-core Connected Neural Processing Units (NPU), has been a…

cs.AR2025

CHIME: A Case for Efficient Long-Context Attention-FC Disaggregated Inference with DIMM-PIM

Qingyuan Liu, Liyan Chen, Haocheng Wang +6

Attention-FC Disaggregated (AFD) LLM inference systems offload memory-bound Attention operations to memory-rich accelerators (e.g., CPUs, HBM-PIM) while retaining compute-bound Ful…

cs.DC2025

DIP: Efficient Large Multimodal Model Training with Dynamic Interleaved Pipeline

Zhenliang Xue, Hanpeng Hu, Xing Chen +7

Large multimodal models (LMMs) have demonstrated excellent capabilities in both understanding and generation tasks with various modalities. While these models can accept flexible c…

cs.OS2025

HeteroPod: XPU-Accelerated Infrastructure Offloading for Commodity Cloud-Native Applications

Bicheng Yang, Jingkai He, Dong Du +2

Cloud-native systems increasingly rely on infrastructure services (e.g., service meshes, monitoring agents), which compete for resources with user applications, degrading performan…

cs.DC2025

Characterizing Mobile SoC for Accelerating Heterogeneous LLM Inference

Le Chen, Dahu Feng, Erhu Feng +5

With the rapid advancement of artificial intelligence technologies such as ChatGPT, AI agents, and video generation, contemporary mobile systems have begun integrating these AI cap…