By Gregory Ruetsch, Massimiliano Fatica
CUDA Fortran for Scientists and Engineers indicates how high-performance software builders can leverage the ability of GPUs utilizing Fortran, the normal language of medical computing and supercomputer functionality benchmarking. The authors presume no earlier parallel computing event, and canopy the fundamentals in addition to top practices for effective GPU computing utilizing CUDA Fortran.
To assist you upload CUDA Fortran to present Fortran codes, the publication explains tips on how to comprehend the objective GPU structure, establish computationally in depth components of the code, and adjust the code to regulate the information and parallelism and optimize functionality. All of this is often performed in Fortran, with no need to rewrite in one other language. every one inspiration is illustrated with genuine examples so that you can instantly review the functionality of your code in comparison.
Leverage the ability of GPU computing with PGI's CUDA Fortran compiler
achieve insights from contributors of the CUDA Fortran language improvement team
contains multi-GPU programming in CUDA Fortran, overlaying either peer-to-peer and message passing interface (MPI) approaches
comprises complete resource code for all of the examples and several other case studies
obtain resource code and slides from the book's spouse site
Read or Download CUDA Fortran for Scientists and Engineers: Best Practices for Efficient CUDA Fortran Programming PDF
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