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CoGNN: Efficient Scheduling for Concurrent GNN Training on GPUs.

, , , , , , , , , , и . SC, стр. 39:1-39:15. IEEE, (2022)

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Hailong Du

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Yang Yang

 

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Efficient Statistical Computing on Multicore and MultiGPU Systems., , , , и . NBiS, стр. 709-714. IEEE Computer Society, (2012)SMGuard: A Flexible and Fine-Grained Resource Management Framework for GPUs., , , , , , и . IEEE Trans. Parallel Distributed Syst., 29 (12): 2849-2862 (2018)An optimized tensor completion library for multiple GPUs., , , , , и . ICS, стр. 417-430. ACM, (2021)Toward accelerated stencil computation by adapting tensor core unit on GPU., , , , , , и . ICS, стр. 28:1-28:12. ACM, (2022)Energy Efficiency Evaluation of Workload Execution on Intel Xeon Phi Coprocessor., , , , и . ISCTCS, том 426 из Communications in Computer and Information Science, стр. 268-275. Springer, (2013)Performance-Aware Based Correlated Datasets Replication Strategy., , и . ISCTCS, том 520 из Communications in Computer and Information Science, стр. 322-327. Springer, (2014)swTVM: Exploring the Automated Compilation for Deep Learning on Sunway Architecture., , , , , , и . CoRR, (2019)SparkOT: Diagnosing Operation Level Inefficiency in Spark., , , , и . HPCC/SmartCity/DSS, стр. 692-699. IEEE, (2018)Performance Evaluation and Analysis of Linear Algebra Kernels in the Prototype Tianhe-3 Cluster., , , , и . SCFA, том 11416 из Lecture Notes in Computer Science, стр. 86-105. Springer, (2019)L-DAG: Enabling Loopy Workflow in Scientific Application with Automatic DAG Transformation., , , и . DASC/PiCom/DataCom/CyberSciTech, стр. 946-953. IEEE, (2019)