KaiCheng Lu

Coordinative Scheduling of Computation and Communication in Data-Parallel Systems

Yiming Zhang, Dongsheng Li, Kai Lu, 2021, IEEE Transactions on Computers.

Compressed Collective Sparse-Sketch for Distributed Data-Parallel Training of Deep Learning Models

Zhiquan Lai, Ke-shi Ge, Dongsheng Li, 2023, IEEE Journal on Selected Areas in Communications.

Automated Tensor Model Parallelism with Overlapped Communication for Efficient Foundation Model Training

Zhiquan Lai, Shengwei Li, Ke-shi Ge, 2023, ArXiv.

ParaX : Bandwidth-Efficient Instance Assignment for DL on Multi-NUMA Many-Core CPUs

Yuxing Peng, Yiming Zhang, KaiCheng Lu, 2022, IEEE Transactions on Computers.

vGraph: Memory-Efficient Multicore Graph Processing for Traversal-Centric Algorithms

Dongsheng Li, KaiCheng Lu, Ruibo Wang, 2022, SC22: International Conference for High Performance Computing, Networking, Storage and Analysis.

XTree: Traversal-Based Partitioning for Extreme-Scale Graph Processing on Supercomputers

Li Chen, KaiCheng Lu, Ruigeng Zeng, 2022, 2022 IEEE 38th International Conference on Data Engineering (ICDE).

TianheGraph: Customizing Graph Search for Graph500 on Tianhe Supercomputer

Xinbiao Gan, Tiaojie Xiao, Kai Lu, 2021, IEEE Transactions on Parallel and Distributed Systems.

Preemptive scheduling of parallel jobs on multiprocessors

Xiaotie Deng, Tim Brecht, KaiCheng Lu, 1996, SODA '96.

Roar: A Router Microarchitecture for In-network Allreduce

Dezun Dong, Junchao Ma, Fei Lei, 2023, ICS.

A Multidimensional Communication Scheduling Method for Hybrid Parallel DNN Training

Zhiquan Lai, Ke-shi Ge, Dongsheng Li, 2024, IEEE Transactions on Parallel and Distributed Systems.