Biblio

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Filters: Author is Lingxiao Ma  [Clear All Filters]
2022
Zhu H, Wu R, Diao Y, Ke S, Li H, Zhang C, Xue J, Ma L, Xia Y, Cui W et al..  2022.  ROLLER: Fast and Efficient Tensor Compilation for Deep Learning. 16th USENIX Symposium on Operating Systems Design and Implementation (OSDI 22). :233--248.
Zheng N, Lin B, Zhang Q, Ma L, Yang Y, Yang F, Wang Y, Yang M, Zhou L.  2022.  SparTA: Deep-Learning Model Sparsity via Tensor-with-Sparsity-Attribute. 16th USENIX Symposium on Operating Systems Design and Implementation (OSDI 22). :213--232.
2020
Ma L, Xie Z, Yang Z, Xue J, Miao Y, Cui W, Hu W, Yang F, Zhang L, Zhou L.  2020.  Rammer: Enabling Holistic Deep Learning Compiler Optimizations with rTasks. 14th USENIX Symposium on Operating Systems Design and Implementation (OSDI 20). :881--897.
2019
Ma L, Yang Z, Miao Y, Xue J, Wu M, Zhou L, Dai Y.  2019.  NeuGraph: Parallel Deep Neural Network Computation on Large Graphs. 2019 USENIX Annual Technical Conference (USENIX ATC 19). :443--458.
2017
Ma L, Yang Z, Chen H, Xue J, Dai Y.  2017.  Garaph: Efficient GPU-accelerated Graph Processing on a Single Machine with Balanced Replication. 2017 USENIX Annual Technical Conference (USENIX ATC 17). :195--207.