CUDA Fortran for Scientists and Engineers

Name: CUDA Fortran for Scientists and Engineers
Brand: Elsevier Science & Technology
SKU: 9780443219771
Price: 51944 HUF
Availability: InStock

Best Practices for Efficient CUDA Fortran Programming

Szerző: Gregory Ruetsch, Massimiliano Fatica

Nyelv:

Kötés: Puha kötésű

Kiadó: Elsevier Science & Technology

Elérhetőség: Beszállítói készleten

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CUDA Fortran for Scientists and Engineers: Best Practices for Efficient CUDA Fortran Programming sho...

Információk a könyvről

Szerző

Gregory Ruetsch, Massimiliano Fatica

Nyelv

Angol

Kötés

Könyv - Puha kötésű

Kiadva

2024

oldal

350

EAN

9780443219771

ISBN

044321977X

Enbook ID

44773218

Kiadó

Elsevier Science & Technology

Súly

878

Teljes leírás

CUDA Fortran for Scientists and Engineers: Best Practices for Efficient CUDA Fortran Programming shows how high-performance application developers can leverage the power of GPUs using Fortran, the familiar language of scientific computing and supercomputer performance benchmarking. The authors presume no prior parallel computing experience, and cover the basics along with best practices for efficient GPU computing using CUDA Fortran. In order to add CUDA Fortran to existing Fortran codes, they explain how to understand the target GPU architecture, identify computationally-intensive parts of the code, and modify the code to manage the data and parallelism and optimize performance – all in Fortran, without having to rewrite in another language. Each concept is illustrated with actual examples so you can immediately evaluate the performance of your code in comparison. This second edition provides much needed updates on how to efficiently program GPUs in CUDA Fortran. It can be used either as a tutorial on GPU programming in CUDA Fortran as well as a reference text. Presents optimization strategies for current hardware, including Hopper generation GPUsIncludes discussions of new language and hardware features, including managed memory, tensor cores, shuffle instructions, new multi-GPU paradigmsOffers resources and strategies for porting large codes to GPUs, including language features as well as library use

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CUDA Fortran for Scientists and Engineers

Best Practices for Efficient CUDA Fortran Programming

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