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Exploring the interoperability of remote GPGPU virtualization using rCUDA and directive-based programming models.

, , , , , and . J. Supercomput., 74 (11): 5628-5642 (2018)

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RED-SEA: Network Solution for Exascale Architectures., , , , , , , , , and 58 other author(s). DSD, page 712-719. IEEE, (2022)A Flexible Research-Oriented Framework for Distributed Training of Deep Neural Networks., , , , and . IPDPS Workshops, page 730-739. IEEE, (2021)GLTO: On the Adequacy of Lightweight Thread Approaches for OpenMP Implementations., , , , , and . ICPP, page 60-69. IEEE Computer Society, (2017)Analysis of model parallelism for distributed neural networks., , , and . EuroMPI, page 7:1-7:10. ACM, (2019)Automatic generation of ARM NEON micro-kernels for matrix multiplication., , , , , , and . J. Supercomput., 80 (10): 13873-13899 (July 2024)Automatic Generators for a Family of Matrix Multiplication Routines with Apache TVM., , , , , and . CoRR, (2023)Performance Analysis of Matrix Multiplication for Deep Learning on the Edge., , , and . CoRR, (2024)Reformulating the direct convolution for high-performance deep learning inference on ARM processors., , , , , , , and . J. Syst. Archit., (February 2023)SLURM Support for Remote GPU Virtualization: Implementation and Performance Study., , , , , , , and . SBAC-PAD, page 318-325. IEEE Computer Society, (2014)High Performance and Portable Convolution Operators for Multicore Processors., , , , and . SBAC-PAD, page 91-98. IEEE, (2020)