By Gregory Ruetsch,Massimiliano Fatica
CUDA Fortran for Scientists and Engineers exhibits how high-performance program builders can leverage the facility of GPUs utilizing Fortran, the ordinary language of clinical computing and supercomputer functionality benchmarking. The authors presume no past parallel computing adventure, and canopy the fundamentals besides top practices for effective GPU computing utilizing CUDA Fortran.
To assist you upload CUDA Fortran to latest Fortran codes, the ebook explains the way to comprehend the objective GPU structure, establish computationally extensive components of the code, and adjust the code to regulate the information and parallelism and optimize functionality. All of this can be performed in Fortran, with no need to rewrite in one other language. every one inspiration is illustrated with real examples so that you can instantly assessment the functionality of your code in comparison.
- Leverage the ability of GPU computing with PGI’s CUDA Fortran compiler
- Gain insights from participants of the CUDA Fortran language improvement team
- Includes multi-GPU programming in CUDA Fortran, masking either peer-to-peer and message passing interface (MPI) approaches
- Includes complete resource code for the entire examples and several other case experiences
- Download resource code and slides from the book's better half website
Read or Download CUDA Fortran for Scientists and Engineers: Best Practices for Efficient CUDA Fortran Programming PDF
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Extra resources for CUDA Fortran for Scientists and Engineers: Best Practices for Efficient CUDA Fortran Programming
CUDA Fortran for Scientists and Engineers: Best Practices for Efficient CUDA Fortran Programming by Gregory Ruetsch,Massimiliano Fatica