By Gregory Ruetsch,Massimiliano Fatica
CUDA Fortran for Scientists and Engineers indicates how high-performance software builders can leverage the facility of GPUs utilizing Fortran, the normal language of medical computing and supercomputer functionality benchmarking. The authors presume no earlier parallel computing adventure, and canopy the fundamentals in addition to most sensible practices for effective GPU computing utilizing CUDA Fortran.
To assist you upload CUDA Fortran to latest Fortran codes, the ebook explains how you can comprehend the objective GPU structure, establish computationally in depth elements of the code, and regulate the code to control the information and parallelism and optimize functionality. All of this is often performed in Fortran, with no need to rewrite in one other language. each one notion 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
- Gain insights from contributors 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 a number of other case experiences
- Download resource code and slides from the book's better half website
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Additional 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