12 citations · 27 across the 10 of their papers we have counts for
11 papers
Consistent RDMA-Friendly Hashing on Remote Persistent Memory
Xinxin Liu, Yu Hua, Rong Bai
Coalescing RDMA and Persistent Memory (PM) delivers high end-to-end performance for networked storage systems, which requires rethinking the design of efficient hash structures. In…
Update the Root of Integrity Tree in Secure Non-Volatile Memory Systems with Low Overhead
Jianming Huang, Yu Hua
Data integrity is important for non-volatile memory (NVM) systems that maintain data even without power. The data integrity in NVM is possibly compromised by integrity attacks, whi…
SEALing Neural Network Models in Secure Deep Learning Accelerators
Pengfei Zuo, Yu Hua, Ling Liang +3
Deep learning (DL) accelerators are increasingly deployed on edge devices to support fast local inferences. However, they suffer from a new security problem, i.e., being vulnerable…
A Write-Friendly and Fast-Recovery Scheme for Security Metadata in NVM
Jianming Huang, Yu Hua
Non-Volatile Memories (NVMs) have attracted the attentions of academia and industry, which is expected to become the next-generation memory. However, due to the nonvolatile propert…
Write-Optimized and Consistent RDMA-based NVM Systems
Xinxin Liu, Yu Hua, Xuan Li +1
In order to deliver high performance in cloud computing, we generally exploit and leverage RDMA (Remote Direct Memory Access) in networking and NVM (Non-Volatile Memory) in end sys…
A Scalable Learned Index Scheme in Storage Systems
Pengfei Li, Yu Hua, Pengfei Zuo +1
Index structures are important for efficient data access, which have been widely used to improve the performance in many in-memory systems. Due to high in-memory overheads, traditi…