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Parallelizing cryo-EM 3D reconstruction on GPU cluster with a partitioned and streamed model., , , , , и . ICS, стр. 13-23. ACM, (2019)Relation-oriented resource allocation for multi-accelerator systems., , , , , , , , и . ASAP, стр. 243-244. IEEE Computer Society, (2016)Generalized GPU Acceleration for Applications Employing Finite-Volume Methods., , , , , , , , , и . CCGrid, стр. 126-135. IEEE Computer Society, (2016)NAMSG: An Efficient Method For Training Neural Networks., , , , , , , и . CoRR, (2019)A Joint Time-Frequency Domain Transformer for multivariate time series forecasting., , , , , и . Neural Networks, (2024)Optimizing Residue Number Reverse Converters through Bitwise Arithmetic on FPGAs., , , , и . FCCM, стр. 236-243. IEEE Computer Society, (2015)Unleashing the performance potential of CPU-GPU platforms for the 3D atmospheric Euler solver., , , , , , , , и . ASAP, стр. 41-49. IEEE Computer Society, (2016)High performance reconfigurable computing for numerical simulation and deep learning., , , , , и . CCF Trans. High Perform. Comput., 2 (2): 196-208 (2020)A Fully-Pipelined FPGA Design for Tree-Reweighted Message Passing Algorithm., , и . FCCM, стр. 177. IEEE Computer Society, (2014)F-CNN: An FPGA-based framework for training Convolutional Neural Networks., , , , , , , и . ASAP, стр. 107-114. IEEE Computer Society, (2016)