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E-RNN: Design Optimization for Efficient Recurrent Neural Networks in FPGAs., , , , , , , , , и 1 other автор(ы). HPCA, стр. 69-80. IEEE, (2019)AccPar: Tensor Partitioning for Heterogeneous Deep Learning Accelerators., , , , , и . HPCA, стр. 342-355. IEEE, (2020)Prague: High-Performance Heterogeneity-Aware Asynchronous Decentralized Training., , , и . ASPLOS, стр. 401-416. ACM, (2020)ASPLOS 2020 was canceled because of COVID-19..CSE: Parallel Finite State Machines with Convergence Set Enumeration., , , , , , и . MICRO, стр. 29-41. IEEE Computer Society, (2018)GraphR: Accelerating Graph Processing Using ReRAM., , , , и . HPCA, стр. 531-543. IEEE Computer Society, (2018)Scalable Graph Traversal on Sunway TaihuLight with Ten Million Cores., , , , , , , и . IPDPS, стр. 635-645. IEEE Computer Society, (2017)Hop: Heterogeneity-aware Decentralized Training., , , и . ASPLOS, стр. 893-907. ACM, (2019)Wonderland: A Novel Abstraction-Based Out-Of-Core Graph Processing System., , , , , и . ASPLOS, стр. 608-621. ACM, (2018)HyPar: Towards Hybrid Parallelism for Deep Learning Accelerator Array., , , , , и . HPCA, стр. 56-68. IEEE, (2019)GraphQ: Scalable PIM-Based Graph Processing., , , , , , и . MICRO, стр. 712-725. ACM, (2019)