暂无分享,去创建一个
[1] K. Jarrod Millman,et al. Python for Scientists and Engineers , 2011, Comput. Sci. Eng..
[2] William Schroeder,et al. The Visualization Toolkit: An Object-Oriented Approach to 3-D Graphics , 1997 .
[3] David E. Keyes,et al. Fast parallel multidimensional FFT using advanced MPI , 2018, J. Parallel Distributed Comput..
[4] S. Hido,et al. CuPy : A NumPy-Compatible Library for NVIDIA GPU Calculations , 2017 .
[5] Natalia Gimelshein,et al. PyTorch: An Imperative Style, High-Performance Deep Learning Library , 2019, NeurIPS.
[6] Message P Forum,et al. MPI: A Message-Passing Interface Standard , 1994 .
[7] Ataul Aziz Ikram,et al. Performance Comparison of MPICH and MPI4py on Raspberry Pi-3B Beowulf Cluster , 2019, ArXiv.
[8] K. Jarrod Millman,et al. Array programming with NumPy , 2020, Nat..
[9] Nicolas Pinto,et al. PyCUDA and PyOpenCL: A scripting-based approach to GPU run-time code generation , 2009, Parallel Comput..
[10] Lisandro Dalcin,et al. Parallel distributed computing using Python , 2011 .
[11] Mario A. Storti,et al. MPI for Python: Performance improvements and MPI-2 extensions , 2008, J. Parallel Distributed Comput..
[12] Siu Kwan Lam,et al. Numba: a LLVM-based Python JIT compiler , 2015, LLVM '15.
[13] Gaël Varoquaux,et al. Scikit-learn: Machine Learning in Python , 2011, J. Mach. Learn. Res..
[14] Ross Smith,et al. Performance of MPI Codes Written in Python with NumPy and mpi4py , 2016, 2016 6th Workshop on Python for High-Performance and Scientific Computing (PyHPC).
[15] Hari Subramoni,et al. The MVAPICH project: Transforming research into high-performance MPI library for HPC community , 2020, J. Comput. Sci..
[16] Lisandro Dalcin,et al. mpi4py: Status Update After 12 Years of Development , 2021, Computing in Science & Engineering.
[17] Dhabaleswar K. Panda,et al. OMB-GPU: A Micro-Benchmark Suite for Evaluating MPI Libraries on GPU Clusters , 2012, EuroMPI.
[18] M. Norman,et al. yt: A MULTI-CODE ANALYSIS TOOLKIT FOR ASTROPHYSICAL SIMULATION DATA , 2010, 1011.3514.