6 papers
On-device Semantic Selection Made Low Latency and Memory Efficient with Monolithic Forwarding
Jiahao Zhou, Chengliang Lin, Dingji Li +2
Semantic top-K selection with cross-encoder rerankers underpins on-device AI services, such as retrieval-augmented generation, agent memory, and personalized recommendation. Howeve…
"Range as a Key" is the Key! Fast and Compact Cloud Block Store Index with RASK
Haoru Zhao, Mingkai Dong, Erci Xu +2
In cloud block store, indexing is on the critical path of I/O operations and typically resides in memory. With the scaling of users and the emergence of denser storage media, the i…
FalconFS: Distributed File System for Large-Scale Deep Learning Pipeline
Jingwei Xu, Junbin Kang, Mingkai Dong +10
Client-side metadata caching has long been considered an effective method for accelerating metadata operations in distributed file systems (DFSs). However, we have found that clien…
SwitchFS: Asynchronous Metadata Updates for Distributed Filesystems with In-Network Coordination
Jingwei Xu, Mingkai Dong, Qiulin Tian +3
Distributed filesystem metadata updates are typically synchronous. This creates inherent challenges for access efficiency, load balancing, and directory contention, especially unde…
Guidelines for Building Indexes on Partially Cache-Coherent CXL Shared Memory
Fangnuo Wu, Mingkai Dong, Wenjun Cai +2
The \emph{Partial Cache-Coherence (PCC)} model maintains hardware cache coherence only within subsets of cores, enabling large-scale memory sharing with emerging memory interconnec…
Optimizing Tree-structure Indexes for CXL-based Heterogeneous Memory with SINLK
Haoru Zhao, Mingkai Dong, Fangnuo Wu +1
On heterogeneous memory (HM) where fast memory (i.e., CPU-attached DRAM) and slow memory (e.g., remote NUMA memory, RDMA-connected memory, Persistent Memory (PM)) coexist, optimizi…