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Rong Chen
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[1] Microsecond-scale Preemption for Concurrent GPU-accelerated DNN Inferences The 16th USENIX Symposium on Operating Systems Design and Implementation, 2022,
[2] KRCORE: a microsecond-scale RDMA control plane for elastic computing USENIX Annual Technical Conference, 2022,
[3] FNotify: A Low-Latency and Scalable Publish/Subscribe System Using RDMA IEEE International Conference on High Performance Computing and Communications, 2022,
[4] 基于NVM和HTM的低时延事务处理 软件学报, 2022,
[5] XStore: Fast RDMA-Based Ordered Key-Value Store Using Remote Learned Cache ACM TRANSACTIONS ON STORAGE, 2021,
[6] Wukong plus G: Fast and Concurrent RDF Query Processing Using RDMA-Assisted GPU Graph Exploration IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2022,
[7] GNNLab: A Factored System for Sample-based GNN Training over GPUs EuroSys 2022 - Proceedings of the 17th European Conference on Computer Systems, 2022,
[8] DrTM plus B: Replication-Driven Live Reconfiguration for Fast and General Distributed Transaction Processing IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2022,
[9]Rong Chen. SOSP 2017——ACM操作系统原理大会 中国计算机学会通讯, 2018,
[10]Rong Chen. 新型硬件虚拟化 中国计算机学会通讯, 2017,
[11] Analysis and improvement of optimizer for query processing on graph store ACM SIGOPS Asia-Pacific Workshop on Systems, 2018,
[12] 一种使用索引式备份的范围查询方法 小型微型计算机系统, 2018,
[13]Rong Chen. 基于RDMA高速网络的高性能分布式系统 大数据, 2018,
[14] Wukong: A Distributed Framework for Fast and Concurrent Graph Querying ACM SIGOPS Operating Systems Review, 2021,
[15] Fast and Accurate Optimizer for Query Processing over Knowledge Graphs ACM Symposium on Cloud Computing, 2021,
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